Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.

El presente estudio, realizado en el marco del énfasis "Sujetos y Escenarios de Aprendizaje" del doctorado Interinstitucional en Educación de la Universidad Pedagógica Nacional, investiga el efecto de andamiajes fijos y de desvanecimiento, así como activadores motivacionales variables e in...

Full description

Autores:
Triana Vera, Sonia
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2023
Institución:
Universidad Pedagógica Nacional
Repositorio:
Repositorio Institucional UPN
Idioma:
spa
OAI Identifier:
oai:repository.pedagogica.edu.co:20.500.12209/18990
Acceso en línea:
http://hdl.handle.net/20.500.12209/18990
Palabra clave:
Carga cognitiva
Logro de aprendizaje
Autoeficacia
Estilo cognitivo
Cognitive load
Virtual learning environment
Learning achievement
Self-efficacy
Cognitive style
Ambientes Virtuales de Aprendizaje AVA
Estilos cognitivos
Educación secundaria
Enseñanza con ayuda de computadores
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
id RPEDAGO2_dd810b41147dae18795002a403578814
oai_identifier_str oai:repository.pedagogica.edu.co:20.500.12209/18990
network_acronym_str RPEDAGO2
network_name_str Repositorio Institucional UPN
repository_id_str
dc.title.spa.fl_str_mv Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.
dc.title.translated.eng.fl_str_mv Cognitive load, self-efficacy and learning achievement in virtual environments.
title Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.
spellingShingle Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.
Carga cognitiva
Logro de aprendizaje
Autoeficacia
Estilo cognitivo
Cognitive load
Virtual learning environment
Learning achievement
Self-efficacy
Cognitive style
Ambientes Virtuales de Aprendizaje AVA
Estilos cognitivos
Educación secundaria
Enseñanza con ayuda de computadores
title_short Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.
title_full Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.
title_fullStr Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.
title_full_unstemmed Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.
title_sort Carga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.
dc.creator.fl_str_mv Triana Vera, Sonia
dc.contributor.advisor.spa.fl_str_mv López Vargas, Omar
dc.contributor.author.spa.fl_str_mv Triana Vera, Sonia
dc.subject.spa.fl_str_mv Carga cognitiva
Logro de aprendizaje
Autoeficacia
Estilo cognitivo
topic Carga cognitiva
Logro de aprendizaje
Autoeficacia
Estilo cognitivo
Cognitive load
Virtual learning environment
Learning achievement
Self-efficacy
Cognitive style
Ambientes Virtuales de Aprendizaje AVA
Estilos cognitivos
Educación secundaria
Enseñanza con ayuda de computadores
dc.subject.keywords.eng.fl_str_mv Cognitive load
Virtual learning environment
Learning achievement
Self-efficacy
Cognitive style
dc.subject.lemb.spa.fl_str_mv Ambientes Virtuales de Aprendizaje AVA
Estilos cognitivos
Educación secundaria
Enseñanza con ayuda de computadores
description El presente estudio, realizado en el marco del énfasis "Sujetos y Escenarios de Aprendizaje" del doctorado Interinstitucional en Educación de la Universidad Pedagógica Nacional, investiga el efecto de andamiajes fijos y de desvanecimiento, así como activadores motivacionales variables e invariables, en logro del aprendizaje, la autoeficacia y la carga cognitiva cuando estudiantes de diferentes estilos cognitivos interactúan con ambientes virtuales de aprendizaje. Se diseñaron cuatro versiones de ambientes virtuales de aprendizaje y se probaron en estudiantes de décimo grado en una institución pública en Soacha, Cundinamarca. Los resultados mostraron que la combinación de experiencias de éxito, gestión de carga cognitiva y adaptabilidad de los activadores motivacionales mejoró el logro de aprendizaje y la autoeficacia. Estos hallazgos enriquecen el conocimiento sobre la mejora de ambientes virtuales de aprendizaje para estudiantes con diferentes estilos cognitivos en un mundo de rápido cambio y gran incertidumbre.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-11-30T18:49:41Z
dc.date.available.none.fl_str_mv 2023-11-30T18:49:41Z
dc.date.issued.none.fl_str_mv 2023
dc.type.hasVersion.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.local.spa.fl_str_mv Monografía - Doctorado
dc.type.coar.eng.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.driver.eng.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
format http://purl.org/coar/resource_type/c_db06
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12209/18990
dc.identifier.instname.spa.fl_str_mv instname:Universidad Pedagógica Nacional
dc.identifier.reponame.spa.fl_str_mv reponame: Repositorio Institucional UPN
dc.identifier.repourl.none.fl_str_mv repourl: http://repositorio.pedagogica.edu.co/
url http://hdl.handle.net/20.500.12209/18990
identifier_str_mv instname:Universidad Pedagógica Nacional
reponame: Repositorio Institucional UPN
repourl: http://repositorio.pedagogica.edu.co/
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.references.spa.fl_str_mv Alali, R., & Saleh, S. (2021). E-Learners’ Self-efficacy for Online Courses: Self-efficacy for IT Use as a Predictor for Academic Self-efficacy. Pakistan Journal of Distance & Online Learning, 87–104
Alomyan, H. (2004). Individual Differences: Implications for Web-based Learning Design. International Education Journal, 4(4), 188–196. http://iej.cjb.net
Alomyan, H. (2017). A conceptual framework for web-based learning design. International Conference e-Learning, 191–195
Alqurashi, E. (2016). Self-Efficacy In Online Learning Environments: A Literature Review. Contemporary Issues in Education Research-First Quarter, 9(1)
Andrade-Lotero, L. A. (2012). Diseño multimedia y aprendizaje : un estado del arte. Revista Internacional de Investigación En Educación, 5(4), 75–92
Angeli, C. (2013). Examining the effects of field dependence-independence on learners’ problem-solving performance and interaction with a computer modeling tool: Implications for the design of joint cognitive systems. Computers and Education, 62, 221–230. https://doi.org/10.1016/j.compedu.2012.11.002
Angeli, C. (2015). Instructional design effects and computer modeling software: cognitive style and the split-attention effect. ResearchGate, 155–162
Antonenko, P. D., & Niederhauser, D. S. (2010). The influence of leads on cognitive load and learning in a hypertext environment. Computers in Human Behavior, 26(2), 140–150. https://doi.org/10.1016/j.chb.2009.10.014
Artino, A. (2008). Cognitive load theory and the role of learner experience: An abbreviated review for educational practitioners. AACE Journal, 16(4), 425–439
Artino, A., & McCoach, B. (2008). Development and initial validation of the online learning value and self-efficacy scale. Journal of Educational Computing Research, 38(3), 279–303. https://doi.org/10.2190/EC.38.3.c
Azevedo, R., Cromley, J. G., & Seibert, D. (2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29(3), 344–370. https://doi.org/10.1016/j.cedpsych.2003.09.002
Bandura, A. (1994a). Encyclopedia of mental health (Vol. 4). Academic Press.
Bandura, A. (1994b). Self-Efficacy. In Encyclopedia of human behavior (pp. 71–81). V. S. Ramachaudran. http://www.uky.edu/~eushe2/Bandura/BanEncy.html
Bandura, A. (1997). Self-Efficacy The Exercise of Control (Primera). Stanford University.
Bandura, A. (1999). Social cognitive theory : An agentic Albert Bandura. Journal of Social Psychology, 2(1), 21–41. https://doi.org/10.1111/1467-839X.00024
Bandura, A. (2002). Growing Primacy of Human Agency in Adaptation and Change in the Electronic Era. European Psychologist, 7(1), 2–16. https://doi.org/10.1027/1016-9040.7.1.2
Bartomeus, G. (2003). The role of cognitive styles in e-learning: a discussion of literature. Skrift från Institutionen för pedagogik, 1, 42–49.
Belland, B. R. (2017). Instructional Scaffolding in STEM Education Strategies and Efficacy Evidence (Springer International, Ed.; 1st ed.).
Belland, B. R., Lee, E., Zhang, A. Y., & Kim, C. M. (2022). Characterizing the most effective scaffolding approaches in engineering and technology education: A clustering approach. Computer Applications in Engineering Education, 30(6), 1795–1812. https://doi.org/10.1002/cae.22556
Berridi-Ramírez, R., & Martínez-Guerrero, J. (2017). Estrategias de autorregulación en contextos virtuales de aprendizaje. Perfiles Educativos, 39(156), 89–102. http://www.redalyc.org/articulo.oa?id=13250923006
Beserra, V., Nussbaum, M., Oteo, M., & Martin, R. (2014). Measuring cognitive load in practicing arithmetic using educational video games on a shared display. Computers in Human Behavior, 41, 351–356. https://doi.org/10.1016/j.chb.2014.10.016
Bouffard-Bouchard, T. (1990). Influence of self-efficacy on performance in a cognitive task. Journal of Social Psychology, 130(3), 353–363. https://doi.org/10.1080/00224545.1990.9924591
Bradley, R., Browne, B., & Kelley, H. (2017). Examining the Influence of Self-Efficacy and Self-Regulation in Online Learning. College Student Journal, 51(4), 518–531. https://www.researchgate.net/publication/325743793
Burgos-Torre, K. S., & Salas-Blas, E. (2020). Procrastinación y Autoeficacia académica en estudiantes universitarios limeños. Propósitos y Representaciones, 8(3). https://doi.org/10.20511/pyr2020.v8n3.790
Cagiltay, K. (2006). Scaffolding strategies in electronic performance support systems: Types and challenges. Innovations in Education and Teaching International, 43, 93–103. https://doi.org/10.1080/14703290500467673
Calderín, M., & Csoban, E. (2010). Elementos para un programa de alfabetización informacional: la autoeficacia hacia el uso de las computadoras. Biblios: Revista Electrónica de Bibliotecología, Archivología y Museología, 37, 1-19
Camilleri, D., Porter, C., & Micallef, M. (2022). Investigating Cognitive Workload during Comprehension and Application Tasks in Software Testing. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, 237–242. https://doi.org/10.18293/SEKE2022-155
Castellanos-Páez, V., Latorre-Velásquez, D. C., Mateus-Gómez, S. M., & Navarro-Roldán, C. P. (2017). Modelo Explicativo del Desempeño Académico desde la Autoeficacia y los Problemas de Conducta. In Revista Colombiana de Psicología, 26(1), pp. 149–161). Universidad Nacional de Colombia. https://doi.org/10.15446/rcp.v26n1.56221
Çebi, A., Araújo, R. D., & Brusilovsky, P. (2022). Do individual characteristics affect online learning behaviors? An analysis of learners sequential patterns. Journal of Research on Technology in Education. https://doi.org/10.1080/15391523.2022.2027301
Cerino, E. (2014). Relationships Between Academic Motivation, Self-Efficacy, and Academic Procrastination. Psi Chi Journal of Psychological Research., 9(4), 256–263
Chang, C. C., & Yang, S. T. (2023). Learners’ positive and negative emotion, various cognitive processing, and cognitive effectiveness and efficiency in situated task-centered digital game-based learning with different scaffolds. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2209600
Chen, & Macredie, R. (2002). Cognitive styles and hypermedia navigation: Development of a learning model. Journal of the American Society for Information Science and Technology, 53(1), 3–15. https://doi.org/10.1002/asi.10023
Chen, C. M., & Wu, C. H. (2015). Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance. Computers and Education, 80, 108–121. https://doi.org/10.1016/j.compedu.2014.08.015
Chen, F., Zhou, J., Zhou, Y., Yu Kun, Syed Z., Ahmad, A., & Conway Khawaji Dan. (2016). Robust Multimodal Cognitive Load Measurement (Springer International Publishing, Ed.).
Chen, L. Y., Hsiao, B., Chern, C. C., & Chen, H. G. (2014). Affective mechanisms linking Internet use to learning performance in high school students: A moderated mediation study. Computers in Human Behavior, 35, 431–443. https://doi.org/10.1016/j.chb.2014.03.025
Chen, & Wu, C. (2015). Effects of Different Video Lecture Types on Sustained Attention, Emotion, Cognitive Load, and Learning Performance. Computers and Education, 80, 108–121. https://doi.org/10.1109/IIAI-AAI.2015.225
Cheon, J., Crooks, S., & Chung, S. (2014). Does segmenting principle counteract modality principle in instructional animation? British Journal of Educational Technology, 45(1), 56–64. https://doi.org/10.1111/bjet.12021
Chen, Zhou, J., Zhou, Y., Yu, K., Syed, Z., Ahmad, A., & Conway, K. (2016). Robust Multimodal Cognitive Load Measurement (Springer International Publishing, Ed.). http://www.springer.com/series/6033
Chou, H. W. (2001). Influences of cognitive style and training method on training effectiveness. Computers and Education, 37(1), 11–25. https://doi.org/10.1016/S0360-1315(01)00028-8
Colvin Clark, R., & Mayer, R. (2011). E-Learnisn and the science of instruction (Vol. 91).
Compeau, D., & Higgins, C. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. Journal in JSTOR, 19(2), 189–211.
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114. https://doi.org/10.1017/S0140525X01003922
Criollo, M., Romero, M., & Fontaines-Ruiz, T. (2017). Autoeficacia para el aprendizaje de la investigación en estudiantes universitarios. Psicología Educativa, 23(1), 63–72. https://doi.org/10.1016/j.pse.2016.09.002
Darejeh, A., Marcus, N., & Sweller, J. (2021). The effect of narrative-based E-learning systems on novice users’ cognitive load while learning software applications. Educational Technology Research and Development, 69(5), 2451–2473. https://doi.org/10.1007/s11423-021-10024-5
De la Fuente, J., Sander, P., Garzón-Umerenkova, A., Vera-Martínez, M. M., Fadda, S., & Gaeta-González, M. L. (2021). Self-Regulation and Regulatory Teaching as Determinants of Academic Behavioral Confidence and Procrastination in Undergraduate Students. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.602904
Derkach, T. M. (2022). ICT-based assessment of cognitive load in chemistry learning. Journal of Physics: Conference Series, 2288(1). https://doi.org/10.1088/1742-6596/2288/1/012016
Dixon, H., Hawe, E., & Hamilton, R. (2020). The case for using exemplars to develop academic self-efficacy. Assessment and Evaluation in Higher Education, 45(3), 2–13. https://doi.org/10.1080/02602938.2019.1666084
Doo, M. Y., Bonk, C. J., & Heo, H. (2020). A Meta-Analysis of Scaffolding Effects in Online Learning in Higher Education. In International Review of Research in Open and Distributed Learning (Vol. 21)
Fan, X. (2022). The development of EFL Learners’ willingness to communicate and self-efficacy: The role of flipped learning approach with the use of social media. In Frontiers in Psychology (Vol. 13). Frontiers Media S.A. https://doi.org/10.3389/fpsyg.2022.1001283
Flammer, A. (2015). Self-Efficacy. In International Encyclopedia of the Social & Behavioral Sciences: Second Edition (pp. 504–508). Elsevier Inc. https://doi.org/10.1016/B978-0-08-097086-8.25033-2
Garrison, D., & Anderson, T. (2003). E-Learning in the 21st Century: A Framework for Research and Practice (RoutledgeFalmer, Ed.; 1st ed.). Taylor & Francis e-Library.
Garzón Umerenkova, A., Gil Flores, J., & De Besa Gutiérrez, M. R. (2021). Evidencia de validez de la Escala de Autoeficacia Percibida Específica de Situaciones Académicas (EAPESA). Revista Electrónica de Investigación Educativa, 23, 1–12. https://doi.org/10.24320/redie.2021.23.e06.2979
Gerhardt, Megan., & Brown, K. (2006). Individual differences in self-efficacy development: The effects of goal orientation and affectivity. Learning and Individual Differences, 16(1), 43–59. https://doi.org/10.1016/j.lindif.2005.06.006
George, D. & Mallery, M. (2010). SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 update (10a ed.) Boston: Pearson.
Gidalevich, S., & Kramarski, B. (2018). The value of fixed versus faded self-regulatory scaffolds on fourth graders’ mathematical problem solving. Instructional Science. https://doi.org/10.1007/s11251-018-9475-z
Gkorezis, P., Kostagiolas, P., & Niakas, D. (2017). Linking exploration to academic performance: The role of information seeking and academic self-efficacy. Library Management, 38(8–9), 404–414. https://doi.org/10.1108/LM-02-2017-0021
Greene, J. A., Moos, D. C., Azevedo, R., & Winters, F. I. (2008). Exploring differences between gifted and grade-level students’ use of self-regulatory learning processes with hypermedia. Computers and Education, 50(3), 1069–1083. https://doi.org/10.1016/j.compedu.2006.10.004
Hadwin, A., & Winne, P. (2001). CoNoteS2: A software tool for promoting self- regulation. Educational Research and Evaluation, 7(2/3), pp. 313-334.
Hederich-Martínez, C. (2004). Estilos cognitivos en la dimensión Independencia Dependencia de Campo -Influencias culturales e implicaciones para la educación-. Universidad Autónoma de Barcelona
Hederich-Martínez, C., López-Vargas, O., & Camargo-Uribe, A. (2016). Effects of the use of a flexible metacognitive scaffolding on self-regulated learning during virtual education. Int. J. Technology Enhanced Learning, 8(3), 199–216.
Hederich-Martínez, C., Camargo-Uribe, A., & López-Vargas, O. (2018a). Andamiajes computacionales para favorecer la autorregulación del aprendizaje: una revisión de investigaciones. In Aportes a la investigación sobre educación virtual desde América Latina (Primera, pp. 117–150). Publicaciones Politécnico Grancolombiano.
Hederich-Martínez, C., Camargo-Uribe, A., & López-Vargas, O. (2018b). Motivation and use of learning strategies in students, men and women, with different level of schooling . Journal of Psychological and Educational Research JPER, 26(1), 121–146.
Heidari, K. (2022). A Psycholinguistic Look at the Role of Field Dependence/Independence in Receptive/Productive Vocabulary Knowledge: Does it Draw a Line? Journal of Psycholinguistic Research, 51(6), 1393–1408. https://doi.org/10.1007/s10936-022-09905-4
Hernández-Jácquez, L. (2018). Perfil sociodemográfico y académico en estudiantes universitarios respecto a su autoeficacia académica percibid. Psicogente, 21(39), 35–49. https://doi.org/10.17081/psico.20.38.2543
Hori, R., & Fujii, M. (2021). Impact of using ict for learning purposes on self-efficacy and persistence: evidence from pisa 2018. Sustainability (Switzerland), 13(11). https://doi.org/10.3390/su13116463
Hrastinski, S. (2008). Asynchronous and Synchronous E-Learning. Educase Quartely, 4, 51–55.
Huang, Y., Richter, E., Kleickmann, T., & Richter, D. (2023). Comparing video and virtual reality as tools for fostering interest and self-efficacy in classroom management: Results of a pre-registered experiment. British Journal of Educational Technology, 54(2), 467–488. https://doi.org/10.1111/bjet.13254
Huertas-Bustos, A. P. (2016). Efecto de un andamiaje metacognitivo para el uso, manejo y búsqueda de información sobre el desarrollo de habilidades metacognitivas y el logro del aprendizaje en el área de la química. [Tesis doctoral Universidad Pedagógica Nacional].
Huertas-Bustos, A., López-Vargas, O., & Sanabria-Rodríguez, L. (2018). Effect of a Metacognitive Scaffolding on Information Web Search. Electronic Journal of E-Learning, 16(2), 91–106. www.ejel.org
Jackson, S. L., Krajcik, J., & Soloway, E. (1998). Design of guided learner-adaptable scaffolding in interactive learning environments. Conference on Human Factors in Computing Systems - Proceedings, 187–194. https://doi.org/10.1145/274644.274672
Jamaluddin, M., Mustaji, M., & Bahri, B. S. (2022). Effect of Blended Learning Models and Self-Efficacy on Mathematical Problem-Solving Ability. International Journal of Learning, Teaching and Educational Research, 21(7), 127–144. https://doi.org/10.26803/ijlter.21.7.7
Jan, S. K. (2015). The relationships between academic self-efficacy, computer self-efficacy, prior experience, and satisfaction with online learning. American Journal of Distance Education, 29(1), 30–40. https://doi.org/10.1080/08923647.2015.994366
Joo, Y.-J., Bong, M., & Choi, H.-J. (2000). Self-Efficacy for Self-Regulated Learning, Academic Self-Efficacy, and Internet Self-Efficacy in Web-Based Instruction. Educational Technology Research and Development, 48(2), 5.17.
Jr, A. A. (2008). Cognitive load theory and the role of learner experience: An abbreviated review for educational practitioners. AACE Journal, 16, 425–439
Jumaat, N. F., & Tasir, Z. (2014). Instructional scaffolding in online learning environment: A meta-analysis. Proceedings - International Conference on Teaching and Learning in Computing and Engineering, LATICE 2014, 74–77. https://doi.org/10.1109/LaTiCE.2014.22
Kadir, M. S., Yeung, A. S., Caleon, I. S., Diallo, T. M. O., Forbes, A., & Koh, W. X. (2023). The effects of load reduction instruction on educational outcomes: An intervention study on hands-on inquiry-based learning in science. Applied Cognitive Psychology. https://doi.org/10.1002/acp.4077
Koskinen, A., McMullen, J., Ninaus, M., & Kiili, K. (2023). Does the emotional design of scaffolds enhance learning and motivational outcomes in game-based learning? Journal of Computer Assisted Learning, 39(1), 77–93. https://doi.org/10.1111/jcal.12728
Kotova, E. E. (2021). Management of Cognitive Load in Integrated Educational Environment taking into account the Factor of Visual Uncertainty. Proceedings of 2021 4th International Conference on Control in Technical Systems, CTS 2021, 162–166. https://doi.org/10.1109/CTS53513.2021.9562811
Kurtovic, A., Vrdoljak, G., & Idzanovic, A. (2019). Predicting procrastination: The role of academic achievement, self-efficacy and perfectionism. International Journal of Educational Psychology, 8(1), 1–26. https://doi.org/10.17583/ijep.2019.2993
Ledneva, T., & Kovalev, A. (2021). Cognitive load measurement during navigation and information retrieval in digital text. Procedia Computer Science, 192, 2720–2730. https://doi.org/10.1016/j.procs.2021.09.042
Lee, H.-S., & Songer, N. B. (2004). Expanding an understanding of scaffolding theory using an inquiry-fostering science program. [En prensa], April, 1–66
Leppink, J., Paas, F., van Gog, T., van der Vleuten, C. P. M., van Merriënboer, J. J. G., Gog, T. Van, Vleuten, C. P. M. Van Der, & Merriënboer, J. J. G. Van. (2014). Effects of pairs of problems and examples on task performance and different types of cognitive load. Learning and Instruction, 30, 32–42. https://doi.org/10.1016/j.learninstruc.2013.12.001
Liu, C. Y., Li, W., Huang, J. Y., Lei, L. Y., & Zhang, P. R. (2023). Collaborative programming based on social shared regulation: An approach to improving students’ programming achievements and group metacognition. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12828
López-Vargas, O. (2008). Estilo cognitivo y diseño de ambientes computacionales ponencia. VII Congreso de informática educativa.
López-Vargas, O., & Hederich-Martínez, C. C. (2010). Efecto de un andamiaje para facilitar el aprendizaje autorregulado en ambientes hipermedia. 58.
López-Vargas, O., Hederich-Martínez, C., & Camargo-Uribe, Á. (2011). Estilo cognitivo y logro académico. Educación y .Educadores. Universidad de La Sabana , 14(1), 67–82
López-Vargas, O., Hederich-Martínez, C., & Camargo-Uribe, Á. (2012a). Logro de aprendizaje en ambientes hipermediales: andamiaje autorregulador y estilo cognitivo. Revista latinoamericana de Psicología, 44, 13–26. http://www.scielo.org.co/pdf/rlps/v44n2/v44n2a02.pdf
López-Vargas, O., Hederich-Martínez, C., & Camargo-Uribe, Á. (2012b). Logro en matemáticas, autorregulación del aprendizaje y estilo cognitivo. Suma Psicológica, 19(2), 39–50.
López-Vargas, O., & Valencia-Vallejo, N. (2012). Individual Differences in the Development of Self-Efficacy and. Acta Colombiana de Psicología, 15(11), 29–41.
López-Vargas, O., & Triana-Vera, S. (2013). Efecto de un activador computacional de autoeficacia sobre el logro de aprendizaje en estudiantes de diferente estilo cognitivo. Revista Colombiana de Educación, 64(1), 225–244. https://doi.org/10.1093/jxb/erh145
López-Vargas, O. (2014). Diseño de andamiajes computacionales para apoyar la autonomía en el aprendizaje. In Universidad Pedagógica Nacional (Ed.), Cátedra doctoral 3
López-Vargas, O., Sanabria-Rodríguez, L. B., & Sanabria-Español, M. (2014). Logro de aprendizaje en ambientes computacionales : Autoeficacia , metas y estilo cognitivo. Psicología Desde Le Caribe, 31(3), 475–494.
López-Vargas, O., Ibáñez-Ibáñez, J., & Racines-Prada, O. (2017). Students’ Metacognition and Cognitive Style and Their Effect on Cognitive Load and Learning Achievement. In Educational Technology & Society (Vol. 20, Issue 3).
López-Vargas, O., Sanabria-Rodríguez, L., & Buitrago-González, N. (2018). Efecto diferencial de un andamiaje metacognitivo sobre la autorregulación y el logro de aprendizaje en un ambiente de aprendizaje combinado. Tecné Epistemedidaxis, 44, 33–50.
López-Vargas, O., Ortiz-Vásquez, J., & Ibáñez-Ibáñez, J. (2020). Autoeficacia y logro de aprendizaje en estudiantes con diferente estilo cognitivo en un ambiente m-learning. Pensamiento Psicológico, 18(1), 71–85. https://doi.org/10.11144/Javerianacali.PPSI18-1.alae
López-Vargas, O., Bermúdez-Martínez, M., & Sanabria-Rodríguez, L. (2022). Autoeficacia y logro de aprendizaje en estudiantes con diferente estilo cognitivo en un videojuego. Revista Colombiana de Educación, 1(85).
Mayer, R. (2010). Applying the science of learning to medical education. Medical Education, 44(6), 543–549. https://doi.org/10.1111/j.1365-2923.2010.03624.
McNeill, K. L., Lizotte, D. J., Krajcik, J., & Marx, R. W. (2006). Supporting students’ construction of scientific explanations by fading scaffolds in instructional materials. Journal of the Learning Sciences, 15(2), 153–191. https://doi.org/10.1207/s15327809jls1502_1
Mertler, C. A., & Vannatta, R. A. (2017). Advanced and multivariate statistical methods : practical application and interpretation (Sexta).
Millonado-Valdez, J., & Datu, J. (2023). Does Facebook intensity matter for academic self-efficacy? A path analytic approach. Technology Enhanced Learning (Vol. 18).
Moos, D., & Azevedo, R. (2009). Self-efficacy and prior domain knowledge: To what extent does monitoring mediate their relationship with hypermedia learning? Metacognition and Learning, 4(3), 197–216. https://doi.org/10.1007/s11409-009-9045-5
Mui, C. (2016). The trend and delivery architecture of e-learning system. In E-Systems for the 21st Century: Concept, Developments, and Applications (pp. 84–104).
Multon, K., Brown, S., & Lent, R. W. (1991). Relation of Self-Efficacy Beliefs to Academic Outcomes: A Meta-Analytic Investigation. Journal of Counseling Psychology, 38(1), 30–38.
Murphy, Christine., Coover, D., & Owen, S. (1989). Development and Validation of the Computer Self-Efficacy Scale. Educational and Psychological Measurement, 49(4), 893–899. https://doi.org/10.1177/001316448904900412
Niño-Ramos, M. (2019). Personalización de un ambiente educativo digital y su efecto sobre el logro de aprendizaje y la percepción en estudiantes de primaria diferenciados por su estilo cognitivo [Tesis doctoral Universidad Pedagógica Nacional].
Nong, W., Ye, J. H., Chen, P., & Lee, Y. S. (2023). A study on the blended learning effects on students majoring in preschool education in the post-pandemic era: An example of a research-method course in a Chinese university. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.962707
Nori, R., Boccia, M., Palmiero, M., & Piccardi, L. (2023). The contribution of field independence in virtual spatial updating. Current Psychology, 4567–4576. https://doi.org/10.1007/s12144-021-01788-3/Published
Nozari, A., & Siamian, H. (2015). The Relationship between Field Dependent-Independent Cognitive Style and Understanding of English Text Reading and Academic Success. Materia Socio Medica, 27(1), 39. https://doi.org/10.5455/msm.2014.27.39-41
Olaz, F. (2001). La Teoría Social Cognitiva de la Autoeficacia. Contribuciones a la Explicación del Comportamiento vocacional. https://www.uky.edu/~eushe2/Pajares/olaz.pdf
Own, C. M., Cai, T., & Hung, C. Y. (2023). Exploring the Potential of Tangible and Multitouch Interfaces to Promote Learning Among Preschool Children. IEEE Transactions on Learning Technologies, 16(1), 66–77. https://doi.org/10.1109/TLT.2022.3170031
Pajares, F. (1996). Self-Efficacy Beliefs in Academic Settings Author. American Educational Research Association, 66(4), 543–578.
Pajares, F., & Miller David. (1995). Mathematics Self-Efficacy and Mathematic Performances:The Need for Specificity of Assessment. Journal of Counseling Psycology, 42, 190–198.
Park, B., Moreno, R., Seufert, T., & Brünken, R. (2011). Does cognitive load moderate the seductive details effect? A multimedia study. Computers in Human Behavior, 27(1), 5–10. https://doi.org/10.1016/j.chb.2010.05.006
Pea, R. D. (2004). The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. Journal of the Learning Sciences, 13(3), 423–451. https://doi.org/10.1207/s15327809jls1303_6
Peechapol, C., Na-Songkhla, J., Sujiva, S., & Luangsodsai, A. (2018). An exploration of factors influencing self-efficacy in online learning: A systematic review. International Journal of Emerging Technologies in Learning, 13(9), 64–86. https://doi.org/10.3991/ijet.v13i09.8351
Pellas, N. (2023). Exploring relationships among students’ computational thinking skills, emotions, and cognitive load using simulation games in primary education. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12819
Pintrich, P., Smith, D., Garcia, T., & McKeachie, W. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor. Michigan, 48109(August 2016), 1259. https://doi.org/ED338122
Pituch K. A., Stevens J. P. (2015). Applied multivariate statistics for the social sciences: Analyses with SAS and IBM's SPSS (6th ed.). New York, NY: Routledge.
Prieto-Navarro, L. (2012). Autoeficacia del profesor universitario (S. A. E. Narcea, Ed.; 1st ed.).
Prineas, M., Foreword, M. C., Ewell, P., & Cini, M. (2011). National Institute for Learning Outcomes Assessment | 1 Assessing Learning in Online Education: The Role of Technology in Improving Student Outcomes National Institute for Learning Outcomes Assessment About the Authors.
Puzziferro, M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. International Journal of Phytoremediation, 21(1), 72–89. https://doi.org/10.1080/08923640802039024
Quintero-Manes, R., Vieira, C., & Hernandez-Vargas, N. (2022). Measuring Cognitive Loads while Learning Computational Statistics. Proceedings - Frontiers in Education Conference, FIE, 2022-October. https://doi.org/10.1109/FIE56618.2022.9962606
Ratsameemonthon, L., Ho, R., Tuicomepee, A., & Blauw, J. (2018). Influence of achievement goals and academic self-efficacy on academic achievement of Thai undergraduate students: Across non procrastinators and procrastinators. Electronic Journal of Research in Educational Psychology, 16(45), 243–271. https://doi.org/10.25115/ejrep.v16i45.2093
Roces, C., & González, M. (1998). Capacidad de autorregulación del proceso de aprendizaje. En Pirámide (Ed.), Dificultades de aprendizaje escolar.
Rodríguez-Guardado, M. del S., & Gaeta-González, M. L. (2020). Perfiles motivacionales, estrategias volitivas y rendimiento académico en ciencias exactas y experimentales de bachillerato. Electronic Journal of Research in Educational Psychology, 18(51), 207–224.
Sánchez-Rosas, J. (2013). Búsqueda de Ayuda Académica, Autoeficacia Social Académica y Emociones deLogro en Clase en Estudiantes Universitarios. Revista Argentina de Ciencias Del Comportamiento, 5(1), 35–41. www.psyche.unc.edu.ar/racc
Sawa, H. (1966). Bunseki shikó to sógó shikó [Analytic thinking and synthetic thinking]. Bulletin of Faculty of Education, Nagasaki University, 13, 1–16.Schimmenti, A., Infanti, A., Badoud, D., Laloyaux, J. y Billieux, J. (2017). Schizotypal personality traits and problematic use of massively-multiplayer online role-playing games (mmorpgs). Computers in Human Behavior, 74, 286-293. https://doi.org/10.1016/j.chb.2017.04.048
Schellens, T., & Valcke, M. (2005). Collaborative learning in asynchronous discussion groups: What about the impact on cognitive processing? Computers in Human Behavior, 21(6), 957–975. https://doi.org/10.1016/j.chb.2004.02.025
Schunk, D. H. (1990). Goal Setting and Self-Efficacy During Self-Regulated Learning. Educational Psychologist, 26(71–86). http://www.tandf.co.uk/journals/
Schunk, D. H. (2012). Teorías del aprendizaje : una perspectiva educativa (Sexta). Pearson Educación.
Schunk, D. H., & Zimmerman, B. J. (1994). Self-regulation in education: retrospect and prospect. Issues and Educational Applications.
Sins, P. H. M., Van-Joolingen, W. R., Savelsbergh, E. R., & Van-Hout-Wolters, B. (2008). Motivation and performance within a collaborative computer-based modeling task: Relations between students’ achievement goal orientation, self-efficacy, cognitive processing, and achievement. Contemporary Educational Psychology, 33(1), 58–77. https://doi.org/10.1016/j.cedpsych.2006.12.004
Solórzano-Restrepo, J., & López-Vargas, O. (2019). Differential effect of a metacognitive scaffolding in a e-Learning environment over cognitive load, learning achievement and metacognitive consciousness. Suma Psicológica, 26(1), 37–45. https://doi.org/10.14349/sumapsi.2019.v26.n1.5
Song, D., & Glazewski, K. (2023). Scaffolding self-regulated learning in student-generated questioning using mobile phones. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11627-6
Stephen, J. S., & Rockinson-Szapkiw, A. J. (2021). A high-impact practice for online students: the use of a first-semester seminar course to promote self-regulation, self-direction, online learning self-efficacy. Smart Learning Environments, 8(1). https://doi.org/10.1186/s40561-021-00151-0
Sun, J. C. Y., Liu, Y., Lin, X., & Hu, X. (2023). Temporal learning analytics to explore traces of self-regulated learning behaviors and their associations with learning performance, cognitive load, and student engagement in an asynchronous online course. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1096337
Suryani, Y., Ningrum, A. R., Hidayah, N., & Dewi, N. R. (2021). The effectiveness of blended learning-based scaffolding strategy assisted by google classroom toward the learning outcomes and students’ self-efficacy. IOP Conference Series: Earth and Environmental Science, 1796(1). https://doi.org/10.1088/1742-6596/1796/1/012031
Sweller, J., Ayres, P., & Kalyuga, S. (2008). Explorations in the Learning Sciences , Instructional Systems and Performance Technologies. https://doi.org/10.1007/978-1-4419-8517-0
Teng, M. F., & Ying, Z. (2023). Assessing self-regulated writing strategies, self-efficacy, task complexity, and performance in English academic writing. Assessing Writing, 57. https://doi.org/10.1016/j.asw.2023.100728
Tinajero, C., Castelo, A., Guisande, A., & Páramo, F. (2011). Adaptive teaching and field dependence-independence Adaptive Teaching and Field Dependence-Independence: Instructional Implications Enseñanza adaptativa y dependencia-independencia de campo: implicaciones instruccionales. Revista Latinoamericana de Psicología, 43(3), 497–510
Trevors, G., Duffy, M., & Azevedo, R. (2014). Note-taking within MetaTutor: interactions between an intelligent tutoring system and prior knowledge on note-taking and learning. Educational Technology Research and Development, 62(5), 507–528. https://doi.org/10.1007/s11423-014-9343-8
Triana-Vera, S. (2012). Autoeficacia, estilo cognitivo y logro académico en ambientes computacionales. Universidad Pedagógica Nacional.
Triana-Vera, S., & López-Vargas, O. (2023). Autoeficacia y logro académico en ambientes virtuales de aprendizaje. Plumilla Educativa Universidad de Manizales, 31(1), 7–32. https://orcid.org/0000-0003-2298-
Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in Web-based science learning: The role of Internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43–50. https://doi.org/10.1080/1355800032000038822
Usher, E., & Pajares, F. (2008). Sources of Self-Efficacy in school: Critical review of the literature and future directions. Review of Educational Research, 78(4), 751–796. https://doi.org/10.3102/0034654308321456
Valdés-Cuervo, Ángel, Cervantes-Arreola, D., Valadez-Sierra, M., & Quintana, J. (2018). Diferencias en autoeficacia académica, bienestar psicológico y motivación al logro en estudiantes universitarios con alto y bajo desempeño académico. Psicología Desde El Caribe, 35(1).
Valencia-Vallejo, N. (2017). Autoeficacia académica, capacidad metacognitiva, logro de aprendizaje y estilo cognitivo en ambientes e-learning. [Tesis doctoral, Universidad Pedagógica Nacional].
Valencia-Vallejo, N., López-Vargas, O., & Sanabria-Rodríguez, L. (2016). Self-Efficacy in Computer-Based Learning Environments: A Bibliometric Analysis. Psychology, 7(14), 1839–1857. https://doi.org/10.4236/psych.2016.714170
Valencia-Vallejo, N., López-Vargas, O., & Sanabria-Rodríguez, L. (2018). Effect of a motivational scaffolding on e-learning environments: self-efficacy, learning achievement, and cognitive style. Journal Educators On-Line, 15(1), 1–14. https://doi.org/10.9743/JEO2018.15.1.5
Valencia-Vallejo, N., López-Vargas, O., & Sanabria-Rodríguez, L. (2019). Effect of a metacognitive scaffolding on self-efficacy, metacognition, and achievement in e-learning environments. Knowledge Management & E-Learning: An International Journal (KM&EL) Knowledge Management & E-Learning, 11(1), 1–19.
Wang, P., Hawk, W. B., & Tenopir, C. (2000). Users’ interaction with World Wide Web resources: an exploratory study using a holistic approach. Information Processing and Management, 36, 229–251.
Wang, A. Y., & Newlin, M. H. (2002). Predictors of web-student performance: The role of self-efficacy and reasons for taking an on-line class. Computers in Human Behavior, 18(2), 151–163. https://doi.org/10.1016/S0747-5632(01)00042-5
Wecker, C., Kollar, I., Fischer, F., & Prechtl, H. (2010). Fostering Online Search Competence and Domain-Specific Knowledge in Inquiry Classrooms: Effects of Continuous and Fading Collaboration Scripts. https://doi.org/https://doi.dx.org/10.22318/icls2010.1.810
Weller, H., Repman, J., Lan, W., & Rooze, G. (1995). Improving the Effectiveness of Learning Through Hypermedia-Based Instruction: The Importance of Learner Characteristics. Computers in Human Behavior, 11(4), 451–465.
Winter, V., Friend, M., Matthews, M., Love, B., & Vasireddy, S. (2019). Using Visualization to Reduce the Cognitive Load of Threshold Concepts in Computer Programming.
Witkin, H., Moore, C., Goodenough, D., & Cox, P. (1977). Field-Dependent and Field-Independent Cognitive Styles and Their Educational Implications. Review of Educational Research, 47(1), 1–64.
Yavuzalp, N., & Bahcivan, E. (2020). The online learning self-efficacy scale: Its adaptation into turkish and interpretation according to various variables. Turkish Online Journal of Distance Education-TOJDE , 21(1), 31–44.
Yeh, Y., Ting, Y.-S., & Chiang, J.-L. (2021). Influences of Growth Mindset, Fixed Mindset, Grit, and Self determination on Self efficacy in Game based Creativity Learning. Educational Technology & Society, 1(26), 62–78.
You, J. W. (2018). Testing the three-way interaction effect of academic stress, academic self-efficacy, and task value on persistence in learning among Korean college students. Higher Education, 76(5), 921–935. https://doi.org/10.1007/s10734-018-0255-0
Yukselturk, E., & Bulut, S. (2007). Predictors for Student Success in an Online Course. In Educational Technology & Society (Vol. 10, Issue 2).
Zhang, J. H., Meng, B., Zou, L. C., Zhu, Y., & Hwang, G. J. (2021). Progressive flowchart development scaffolding to improve university students’ computational thinking and programming self-efficacy. Interactive Learning Environments. https://doi.org/10.1080/10494820.2021.1943687
Zhang, J., & Tian, Y. (2019). The influence of field independent-dependent cognitive styles on students’ learning performance under different teaching modes. ACM International Conference Proceeding Series, Part F148391, 230–237. https://doi.org/10.1145/3323771.3323827
Zheng, Robert. (2009). Cognitive effects of multimedia learning. Information Science Reference.
Zhu, Y. Q., Chen, L. Y., Chen, H. G., & Chern, C. C. (2011). How does Internet information seeking help academic performance? - The moderating and mediating roles of academic self-efficacy. Computers and Education, 57(4), 2476–2484. https://doi.org/10.1016/j.compedu.2011.07.006
Zimmerman, B. J. (1995). Self-efficacy and educational development. In A. Bandura (Ed.), Self-efficacy in Changing Societies (Tercera). Cambridge University Press. https://www.researchgate.net/publication/247480203
Zimmerman, B., & Campillo, M. (2003). Motivating Self-Regulated Problem Solvers. The Psychology of Problem Solving, 233–262. https://doi.org/10.1017/CBO9780511615771.009
Zimmerman, W., & Kulikowich, J. (2016). Online Learning Self-Efficacy in Students With and Without Online Learning Experience. American Journal of Distance Education, 30(3), 180–191. https://doi.org/10.1080/08923647.2016.1193801
Zimmerman, W. (2017). Predicting Success in an Online Course using Expectancies, Values, and Typical Mode of Instruction. International Journal of E-Learning & Distance Edication, 32(1), 2–20.
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.access.spa.fl_str_mv Acceso abierto
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceso abierto
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
eu_rights_str_mv openAccess
dc.format.spa.fl_str_mv PDF
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Pedagógica Nacional
dc.publisher.program.spa.fl_str_mv Doctorado Interinstitucional en Educación
dc.publisher.faculty.spa.fl_str_mv Doctorado en Educación
institution Universidad Pedagógica Nacional
bitstream.url.fl_str_mv http://repository.pedagogica.edu.co/bitstream/20.500.12209/18990/4/Carga%20cognitiva%2c%20Autoeficacia%20y%20Logro%20de%20Aprendizaje%20en%20Ambientes%20vituales%20de%20Aprendizaje.pdf.jpg
http://repository.pedagogica.edu.co/bitstream/20.500.12209/18990/2/license.txt
http://repository.pedagogica.edu.co/bitstream/20.500.12209/18990/3/202303780211743-01%20NOV%2023%20SONIA%20TRIANA.pdf
http://repository.pedagogica.edu.co/bitstream/20.500.12209/18990/1/Carga%20cognitiva%2c%20Autoeficacia%20y%20Logro%20de%20Aprendizaje%20en%20Ambientes%20vituales%20de%20Aprendizaje.pdf
bitstream.checksum.fl_str_mv 7abb606cb50a37ab68a2ecbb48cdc174
8a4605be74aa9ea9d79846c1fba20a33
a57b453fe8ef6819aec955e063520fb7
c3898ae3a1e77fa1b9adc5b2b6698771
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad Pedagógica Nacional
repository.mail.fl_str_mv repositorio@pedagogica.edu.co
_version_ 1814445272724406272
spelling López Vargas, OmarTriana Vera, Sonia2023-11-30T18:49:41Z2023-11-30T18:49:41Z2023http://hdl.handle.net/20.500.12209/18990instname:Universidad Pedagógica Nacionalreponame: Repositorio Institucional UPNrepourl: http://repositorio.pedagogica.edu.co/El presente estudio, realizado en el marco del énfasis "Sujetos y Escenarios de Aprendizaje" del doctorado Interinstitucional en Educación de la Universidad Pedagógica Nacional, investiga el efecto de andamiajes fijos y de desvanecimiento, así como activadores motivacionales variables e invariables, en logro del aprendizaje, la autoeficacia y la carga cognitiva cuando estudiantes de diferentes estilos cognitivos interactúan con ambientes virtuales de aprendizaje. Se diseñaron cuatro versiones de ambientes virtuales de aprendizaje y se probaron en estudiantes de décimo grado en una institución pública en Soacha, Cundinamarca. Los resultados mostraron que la combinación de experiencias de éxito, gestión de carga cognitiva y adaptabilidad de los activadores motivacionales mejoró el logro de aprendizaje y la autoeficacia. Estos hallazgos enriquecen el conocimiento sobre la mejora de ambientes virtuales de aprendizaje para estudiantes con diferentes estilos cognitivos en un mundo de rápido cambio y gran incertidumbre.Submitted by Sonia Triana-Vera (strianav@upn.edu.co) on 2023-11-02T01:19:27Z No. of bitstreams: 1 Carga cognitiva, Autoeficacia y Logro de Aprendizaje en Ambientes vituales de Aprendizaje.pdf: 4634115 bytes, checksum: c3898ae3a1e77fa1b9adc5b2b6698771 (MD5)Approved for entry into archive by Biblioteca UPN (repositoriobiblioteca@pedagogica.edu.co) on 2023-11-28T14:40:58Z (GMT) No. of bitstreams: 1 Carga cognitiva, Autoeficacia y Logro de Aprendizaje en Ambientes vituales de Aprendizaje.pdf: 4634115 bytes, checksum: c3898ae3a1e77fa1b9adc5b2b6698771 (MD5)Approved for entry into archive by Elsy Carolina Martínez (ecmartinezb@pedagogica.edu.co) on 2023-11-30T18:49:41Z (GMT) No. of bitstreams: 1 Carga cognitiva, Autoeficacia y Logro de Aprendizaje en Ambientes vituales de Aprendizaje.pdf: 4634115 bytes, checksum: c3898ae3a1e77fa1b9adc5b2b6698771 (MD5)Made available in DSpace on 2023-11-30T18:49:41Z (GMT). No. of bitstreams: 1 Carga cognitiva, Autoeficacia y Logro de Aprendizaje en Ambientes vituales de Aprendizaje.pdf: 4634115 bytes, checksum: c3898ae3a1e77fa1b9adc5b2b6698771 (MD5) Previous issue date: 2023-10-26Doctor en EducaciónDoctoradoThe present study, carried out within the framework of the "Subjects and Learning Scenarios" emphasis of the Interinstitutional Doctorate in Education of the National Pedagogical University, investigates the effect of fixed and fading scaffolds, as well as variable and invariable motivational activators, on learning achievement , self-efficacy and cognitive load when students of different cognitive styles interact with virtual learning environments. Four versions of virtual learning environments were designed and tested on tenth grade students at a public institution in Soacha, Cundinamarca. The results showed that the combination of success experiences, cognitive load management and adaptability of motivational activators improved learning achievement and self-efficacy. These findings enrich knowledge about improving virtual learning environments for students with different cognitive styles in a world of rapid change and great uncertainty.Énfasis: sujetos y escenarios de aprendizajeGrupo: COGNITEKPDFapplication/pdfspaUniversidad Pedagógica NacionalDoctorado Interinstitucional en EducaciónDoctorado en Educaciónhttps://creativecommons.org/licenses/by-nc-nd/4.0/Acceso abiertoinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 InternationalCarga cognitivaLogro de aprendizajeAutoeficaciaEstilo cognitivoCognitive loadVirtual learning environmentLearning achievementSelf-efficacyCognitive styleAmbientes Virtuales de Aprendizaje AVAEstilos cognitivosEducación secundariaEnseñanza con ayuda de computadoresCarga cognitiva, autoeficacia y logro de aprendizaje en ambiente virtuales.Cognitive load, self-efficacy and learning achievement in virtual environments.info:eu-repo/semantics/acceptedVersionMonografía - Doctoradohttp://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionAlali, R., & Saleh, S. (2021). E-Learners’ Self-efficacy for Online Courses: Self-efficacy for IT Use as a Predictor for Academic Self-efficacy. Pakistan Journal of Distance & Online Learning, 87–104Alomyan, H. (2004). Individual Differences: Implications for Web-based Learning Design. International Education Journal, 4(4), 188–196. http://iej.cjb.netAlomyan, H. (2017). A conceptual framework for web-based learning design. International Conference e-Learning, 191–195Alqurashi, E. (2016). Self-Efficacy In Online Learning Environments: A Literature Review. Contemporary Issues in Education Research-First Quarter, 9(1)Andrade-Lotero, L. A. (2012). Diseño multimedia y aprendizaje : un estado del arte. Revista Internacional de Investigación En Educación, 5(4), 75–92Angeli, C. (2013). Examining the effects of field dependence-independence on learners’ problem-solving performance and interaction with a computer modeling tool: Implications for the design of joint cognitive systems. Computers and Education, 62, 221–230. https://doi.org/10.1016/j.compedu.2012.11.002Angeli, C. (2015). Instructional design effects and computer modeling software: cognitive style and the split-attention effect. ResearchGate, 155–162Antonenko, P. D., & Niederhauser, D. S. (2010). The influence of leads on cognitive load and learning in a hypertext environment. Computers in Human Behavior, 26(2), 140–150. https://doi.org/10.1016/j.chb.2009.10.014Artino, A. (2008). Cognitive load theory and the role of learner experience: An abbreviated review for educational practitioners. AACE Journal, 16(4), 425–439Artino, A., & McCoach, B. (2008). Development and initial validation of the online learning value and self-efficacy scale. Journal of Educational Computing Research, 38(3), 279–303. https://doi.org/10.2190/EC.38.3.cAzevedo, R., Cromley, J. G., & Seibert, D. (2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29(3), 344–370. https://doi.org/10.1016/j.cedpsych.2003.09.002Bandura, A. (1994a). Encyclopedia of mental health (Vol. 4). Academic Press.Bandura, A. (1994b). Self-Efficacy. In Encyclopedia of human behavior (pp. 71–81). V. S. Ramachaudran. http://www.uky.edu/~eushe2/Bandura/BanEncy.htmlBandura, A. (1997). Self-Efficacy The Exercise of Control (Primera). Stanford University.Bandura, A. (1999). Social cognitive theory : An agentic Albert Bandura. Journal of Social Psychology, 2(1), 21–41. https://doi.org/10.1111/1467-839X.00024Bandura, A. (2002). Growing Primacy of Human Agency in Adaptation and Change in the Electronic Era. European Psychologist, 7(1), 2–16. https://doi.org/10.1027/1016-9040.7.1.2Bartomeus, G. (2003). The role of cognitive styles in e-learning: a discussion of literature. Skrift från Institutionen för pedagogik, 1, 42–49.Belland, B. R. (2017). Instructional Scaffolding in STEM Education Strategies and Efficacy Evidence (Springer International, Ed.; 1st ed.).Belland, B. R., Lee, E., Zhang, A. Y., & Kim, C. M. (2022). Characterizing the most effective scaffolding approaches in engineering and technology education: A clustering approach. Computer Applications in Engineering Education, 30(6), 1795–1812. https://doi.org/10.1002/cae.22556Berridi-Ramírez, R., & Martínez-Guerrero, J. (2017). Estrategias de autorregulación en contextos virtuales de aprendizaje. Perfiles Educativos, 39(156), 89–102. http://www.redalyc.org/articulo.oa?id=13250923006Beserra, V., Nussbaum, M., Oteo, M., & Martin, R. (2014). Measuring cognitive load in practicing arithmetic using educational video games on a shared display. Computers in Human Behavior, 41, 351–356. https://doi.org/10.1016/j.chb.2014.10.016Bouffard-Bouchard, T. (1990). Influence of self-efficacy on performance in a cognitive task. Journal of Social Psychology, 130(3), 353–363. https://doi.org/10.1080/00224545.1990.9924591Bradley, R., Browne, B., & Kelley, H. (2017). Examining the Influence of Self-Efficacy and Self-Regulation in Online Learning. College Student Journal, 51(4), 518–531. https://www.researchgate.net/publication/325743793Burgos-Torre, K. S., & Salas-Blas, E. (2020). Procrastinación y Autoeficacia académica en estudiantes universitarios limeños. Propósitos y Representaciones, 8(3). https://doi.org/10.20511/pyr2020.v8n3.790Cagiltay, K. (2006). Scaffolding strategies in electronic performance support systems: Types and challenges. Innovations in Education and Teaching International, 43, 93–103. https://doi.org/10.1080/14703290500467673Calderín, M., & Csoban, E. (2010). Elementos para un programa de alfabetización informacional: la autoeficacia hacia el uso de las computadoras. Biblios: Revista Electrónica de Bibliotecología, Archivología y Museología, 37, 1-19Camilleri, D., Porter, C., & Micallef, M. (2022). Investigating Cognitive Workload during Comprehension and Application Tasks in Software Testing. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, 237–242. https://doi.org/10.18293/SEKE2022-155Castellanos-Páez, V., Latorre-Velásquez, D. C., Mateus-Gómez, S. M., & Navarro-Roldán, C. P. (2017). Modelo Explicativo del Desempeño Académico desde la Autoeficacia y los Problemas de Conducta. In Revista Colombiana de Psicología, 26(1), pp. 149–161). Universidad Nacional de Colombia. https://doi.org/10.15446/rcp.v26n1.56221Çebi, A., Araújo, R. D., & Brusilovsky, P. (2022). Do individual characteristics affect online learning behaviors? An analysis of learners sequential patterns. Journal of Research on Technology in Education. https://doi.org/10.1080/15391523.2022.2027301Cerino, E. (2014). Relationships Between Academic Motivation, Self-Efficacy, and Academic Procrastination. Psi Chi Journal of Psychological Research., 9(4), 256–263Chang, C. C., & Yang, S. T. (2023). Learners’ positive and negative emotion, various cognitive processing, and cognitive effectiveness and efficiency in situated task-centered digital game-based learning with different scaffolds. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2209600Chen, & Macredie, R. (2002). Cognitive styles and hypermedia navigation: Development of a learning model. Journal of the American Society for Information Science and Technology, 53(1), 3–15. https://doi.org/10.1002/asi.10023Chen, C. M., & Wu, C. H. (2015). Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance. Computers and Education, 80, 108–121. https://doi.org/10.1016/j.compedu.2014.08.015Chen, F., Zhou, J., Zhou, Y., Yu Kun, Syed Z., Ahmad, A., & Conway Khawaji Dan. (2016). Robust Multimodal Cognitive Load Measurement (Springer International Publishing, Ed.).Chen, L. Y., Hsiao, B., Chern, C. C., & Chen, H. G. (2014). Affective mechanisms linking Internet use to learning performance in high school students: A moderated mediation study. Computers in Human Behavior, 35, 431–443. https://doi.org/10.1016/j.chb.2014.03.025Chen, & Wu, C. (2015). Effects of Different Video Lecture Types on Sustained Attention, Emotion, Cognitive Load, and Learning Performance. Computers and Education, 80, 108–121. https://doi.org/10.1109/IIAI-AAI.2015.225Cheon, J., Crooks, S., & Chung, S. (2014). Does segmenting principle counteract modality principle in instructional animation? British Journal of Educational Technology, 45(1), 56–64. https://doi.org/10.1111/bjet.12021Chen, Zhou, J., Zhou, Y., Yu, K., Syed, Z., Ahmad, A., & Conway, K. (2016). Robust Multimodal Cognitive Load Measurement (Springer International Publishing, Ed.). http://www.springer.com/series/6033Chou, H. W. (2001). Influences of cognitive style and training method on training effectiveness. Computers and Education, 37(1), 11–25. https://doi.org/10.1016/S0360-1315(01)00028-8Colvin Clark, R., & Mayer, R. (2011). E-Learnisn and the science of instruction (Vol. 91).Compeau, D., & Higgins, C. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. Journal in JSTOR, 19(2), 189–211.Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114. https://doi.org/10.1017/S0140525X01003922Criollo, M., Romero, M., & Fontaines-Ruiz, T. (2017). Autoeficacia para el aprendizaje de la investigación en estudiantes universitarios. Psicología Educativa, 23(1), 63–72. https://doi.org/10.1016/j.pse.2016.09.002Darejeh, A., Marcus, N., & Sweller, J. (2021). The effect of narrative-based E-learning systems on novice users’ cognitive load while learning software applications. Educational Technology Research and Development, 69(5), 2451–2473. https://doi.org/10.1007/s11423-021-10024-5De la Fuente, J., Sander, P., Garzón-Umerenkova, A., Vera-Martínez, M. M., Fadda, S., & Gaeta-González, M. L. (2021). Self-Regulation and Regulatory Teaching as Determinants of Academic Behavioral Confidence and Procrastination in Undergraduate Students. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.602904Derkach, T. M. (2022). ICT-based assessment of cognitive load in chemistry learning. Journal of Physics: Conference Series, 2288(1). https://doi.org/10.1088/1742-6596/2288/1/012016Dixon, H., Hawe, E., & Hamilton, R. (2020). The case for using exemplars to develop academic self-efficacy. Assessment and Evaluation in Higher Education, 45(3), 2–13. https://doi.org/10.1080/02602938.2019.1666084Doo, M. Y., Bonk, C. J., & Heo, H. (2020). A Meta-Analysis of Scaffolding Effects in Online Learning in Higher Education. In International Review of Research in Open and Distributed Learning (Vol. 21)Fan, X. (2022). The development of EFL Learners’ willingness to communicate and self-efficacy: The role of flipped learning approach with the use of social media. In Frontiers in Psychology (Vol. 13). Frontiers Media S.A. https://doi.org/10.3389/fpsyg.2022.1001283Flammer, A. (2015). Self-Efficacy. In International Encyclopedia of the Social & Behavioral Sciences: Second Edition (pp. 504–508). Elsevier Inc. https://doi.org/10.1016/B978-0-08-097086-8.25033-2Garrison, D., & Anderson, T. (2003). E-Learning in the 21st Century: A Framework for Research and Practice (RoutledgeFalmer, Ed.; 1st ed.). Taylor & Francis e-Library.Garzón Umerenkova, A., Gil Flores, J., & De Besa Gutiérrez, M. R. (2021). Evidencia de validez de la Escala de Autoeficacia Percibida Específica de Situaciones Académicas (EAPESA). Revista Electrónica de Investigación Educativa, 23, 1–12. https://doi.org/10.24320/redie.2021.23.e06.2979Gerhardt, Megan., & Brown, K. (2006). Individual differences in self-efficacy development: The effects of goal orientation and affectivity. Learning and Individual Differences, 16(1), 43–59. https://doi.org/10.1016/j.lindif.2005.06.006George, D. & Mallery, M. (2010). SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 update (10a ed.) Boston: Pearson.Gidalevich, S., & Kramarski, B. (2018). The value of fixed versus faded self-regulatory scaffolds on fourth graders’ mathematical problem solving. Instructional Science. https://doi.org/10.1007/s11251-018-9475-zGkorezis, P., Kostagiolas, P., & Niakas, D. (2017). Linking exploration to academic performance: The role of information seeking and academic self-efficacy. Library Management, 38(8–9), 404–414. https://doi.org/10.1108/LM-02-2017-0021Greene, J. A., Moos, D. C., Azevedo, R., & Winters, F. I. (2008). Exploring differences between gifted and grade-level students’ use of self-regulatory learning processes with hypermedia. Computers and Education, 50(3), 1069–1083. https://doi.org/10.1016/j.compedu.2006.10.004Hadwin, A., & Winne, P. (2001). CoNoteS2: A software tool for promoting self- regulation. Educational Research and Evaluation, 7(2/3), pp. 313-334.Hederich-Martínez, C. (2004). Estilos cognitivos en la dimensión Independencia Dependencia de Campo -Influencias culturales e implicaciones para la educación-. Universidad Autónoma de BarcelonaHederich-Martínez, C., López-Vargas, O., & Camargo-Uribe, A. (2016). Effects of the use of a flexible metacognitive scaffolding on self-regulated learning during virtual education. Int. J. Technology Enhanced Learning, 8(3), 199–216.Hederich-Martínez, C., Camargo-Uribe, A., & López-Vargas, O. (2018a). Andamiajes computacionales para favorecer la autorregulación del aprendizaje: una revisión de investigaciones. In Aportes a la investigación sobre educación virtual desde América Latina (Primera, pp. 117–150). Publicaciones Politécnico Grancolombiano.Hederich-Martínez, C., Camargo-Uribe, A., & López-Vargas, O. (2018b). Motivation and use of learning strategies in students, men and women, with different level of schooling . Journal of Psychological and Educational Research JPER, 26(1), 121–146.Heidari, K. (2022). A Psycholinguistic Look at the Role of Field Dependence/Independence in Receptive/Productive Vocabulary Knowledge: Does it Draw a Line? Journal of Psycholinguistic Research, 51(6), 1393–1408. https://doi.org/10.1007/s10936-022-09905-4Hernández-Jácquez, L. (2018). Perfil sociodemográfico y académico en estudiantes universitarios respecto a su autoeficacia académica percibid. Psicogente, 21(39), 35–49. https://doi.org/10.17081/psico.20.38.2543Hori, R., & Fujii, M. (2021). Impact of using ict for learning purposes on self-efficacy and persistence: evidence from pisa 2018. Sustainability (Switzerland), 13(11). https://doi.org/10.3390/su13116463Hrastinski, S. (2008). Asynchronous and Synchronous E-Learning. Educase Quartely, 4, 51–55.Huang, Y., Richter, E., Kleickmann, T., & Richter, D. (2023). Comparing video and virtual reality as tools for fostering interest and self-efficacy in classroom management: Results of a pre-registered experiment. British Journal of Educational Technology, 54(2), 467–488. https://doi.org/10.1111/bjet.13254Huertas-Bustos, A. P. (2016). Efecto de un andamiaje metacognitivo para el uso, manejo y búsqueda de información sobre el desarrollo de habilidades metacognitivas y el logro del aprendizaje en el área de la química. [Tesis doctoral Universidad Pedagógica Nacional].Huertas-Bustos, A., López-Vargas, O., & Sanabria-Rodríguez, L. (2018). Effect of a Metacognitive Scaffolding on Information Web Search. Electronic Journal of E-Learning, 16(2), 91–106. www.ejel.orgJackson, S. L., Krajcik, J., & Soloway, E. (1998). Design of guided learner-adaptable scaffolding in interactive learning environments. Conference on Human Factors in Computing Systems - Proceedings, 187–194. https://doi.org/10.1145/274644.274672Jamaluddin, M., Mustaji, M., & Bahri, B. S. (2022). Effect of Blended Learning Models and Self-Efficacy on Mathematical Problem-Solving Ability. International Journal of Learning, Teaching and Educational Research, 21(7), 127–144. https://doi.org/10.26803/ijlter.21.7.7Jan, S. K. (2015). The relationships between academic self-efficacy, computer self-efficacy, prior experience, and satisfaction with online learning. American Journal of Distance Education, 29(1), 30–40. https://doi.org/10.1080/08923647.2015.994366Joo, Y.-J., Bong, M., & Choi, H.-J. (2000). Self-Efficacy for Self-Regulated Learning, Academic Self-Efficacy, and Internet Self-Efficacy in Web-Based Instruction. Educational Technology Research and Development, 48(2), 5.17.Jr, A. A. (2008). Cognitive load theory and the role of learner experience: An abbreviated review for educational practitioners. AACE Journal, 16, 425–439Jumaat, N. F., & Tasir, Z. (2014). Instructional scaffolding in online learning environment: A meta-analysis. Proceedings - International Conference on Teaching and Learning in Computing and Engineering, LATICE 2014, 74–77. https://doi.org/10.1109/LaTiCE.2014.22Kadir, M. S., Yeung, A. S., Caleon, I. S., Diallo, T. M. O., Forbes, A., & Koh, W. X. (2023). The effects of load reduction instruction on educational outcomes: An intervention study on hands-on inquiry-based learning in science. Applied Cognitive Psychology. https://doi.org/10.1002/acp.4077Koskinen, A., McMullen, J., Ninaus, M., & Kiili, K. (2023). Does the emotional design of scaffolds enhance learning and motivational outcomes in game-based learning? Journal of Computer Assisted Learning, 39(1), 77–93. https://doi.org/10.1111/jcal.12728Kotova, E. E. (2021). Management of Cognitive Load in Integrated Educational Environment taking into account the Factor of Visual Uncertainty. Proceedings of 2021 4th International Conference on Control in Technical Systems, CTS 2021, 162–166. https://doi.org/10.1109/CTS53513.2021.9562811Kurtovic, A., Vrdoljak, G., & Idzanovic, A. (2019). Predicting procrastination: The role of academic achievement, self-efficacy and perfectionism. International Journal of Educational Psychology, 8(1), 1–26. https://doi.org/10.17583/ijep.2019.2993Ledneva, T., & Kovalev, A. (2021). Cognitive load measurement during navigation and information retrieval in digital text. Procedia Computer Science, 192, 2720–2730. https://doi.org/10.1016/j.procs.2021.09.042Lee, H.-S., & Songer, N. B. (2004). Expanding an understanding of scaffolding theory using an inquiry-fostering science program. [En prensa], April, 1–66Leppink, J., Paas, F., van Gog, T., van der Vleuten, C. P. M., van Merriënboer, J. J. G., Gog, T. Van, Vleuten, C. P. M. Van Der, & Merriënboer, J. J. G. Van. (2014). Effects of pairs of problems and examples on task performance and different types of cognitive load. Learning and Instruction, 30, 32–42. https://doi.org/10.1016/j.learninstruc.2013.12.001Liu, C. Y., Li, W., Huang, J. Y., Lei, L. Y., & Zhang, P. R. (2023). Collaborative programming based on social shared regulation: An approach to improving students’ programming achievements and group metacognition. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12828López-Vargas, O. (2008). Estilo cognitivo y diseño de ambientes computacionales ponencia. VII Congreso de informática educativa.López-Vargas, O., & Hederich-Martínez, C. C. (2010). Efecto de un andamiaje para facilitar el aprendizaje autorregulado en ambientes hipermedia. 58.López-Vargas, O., Hederich-Martínez, C., & Camargo-Uribe, Á. (2011). Estilo cognitivo y logro académico. Educación y .Educadores. Universidad de La Sabana , 14(1), 67–82López-Vargas, O., Hederich-Martínez, C., & Camargo-Uribe, Á. (2012a). Logro de aprendizaje en ambientes hipermediales: andamiaje autorregulador y estilo cognitivo. Revista latinoamericana de Psicología, 44, 13–26. http://www.scielo.org.co/pdf/rlps/v44n2/v44n2a02.pdfLópez-Vargas, O., Hederich-Martínez, C., & Camargo-Uribe, Á. (2012b). Logro en matemáticas, autorregulación del aprendizaje y estilo cognitivo. Suma Psicológica, 19(2), 39–50.López-Vargas, O., & Valencia-Vallejo, N. (2012). Individual Differences in the Development of Self-Efficacy and. Acta Colombiana de Psicología, 15(11), 29–41.López-Vargas, O., & Triana-Vera, S. (2013). Efecto de un activador computacional de autoeficacia sobre el logro de aprendizaje en estudiantes de diferente estilo cognitivo. Revista Colombiana de Educación, 64(1), 225–244. https://doi.org/10.1093/jxb/erh145López-Vargas, O. (2014). Diseño de andamiajes computacionales para apoyar la autonomía en el aprendizaje. In Universidad Pedagógica Nacional (Ed.), Cátedra doctoral 3López-Vargas, O., Sanabria-Rodríguez, L. B., & Sanabria-Español, M. (2014). Logro de aprendizaje en ambientes computacionales : Autoeficacia , metas y estilo cognitivo. Psicología Desde Le Caribe, 31(3), 475–494.López-Vargas, O., Ibáñez-Ibáñez, J., & Racines-Prada, O. (2017). Students’ Metacognition and Cognitive Style and Their Effect on Cognitive Load and Learning Achievement. In Educational Technology & Society (Vol. 20, Issue 3).López-Vargas, O., Sanabria-Rodríguez, L., & Buitrago-González, N. (2018). Efecto diferencial de un andamiaje metacognitivo sobre la autorregulación y el logro de aprendizaje en un ambiente de aprendizaje combinado. Tecné Epistemedidaxis, 44, 33–50.López-Vargas, O., Ortiz-Vásquez, J., & Ibáñez-Ibáñez, J. (2020). Autoeficacia y logro de aprendizaje en estudiantes con diferente estilo cognitivo en un ambiente m-learning. Pensamiento Psicológico, 18(1), 71–85. https://doi.org/10.11144/Javerianacali.PPSI18-1.alaeLópez-Vargas, O., Bermúdez-Martínez, M., & Sanabria-Rodríguez, L. (2022). Autoeficacia y logro de aprendizaje en estudiantes con diferente estilo cognitivo en un videojuego. Revista Colombiana de Educación, 1(85).Mayer, R. (2010). Applying the science of learning to medical education. Medical Education, 44(6), 543–549. https://doi.org/10.1111/j.1365-2923.2010.03624.McNeill, K. L., Lizotte, D. J., Krajcik, J., & Marx, R. W. (2006). Supporting students’ construction of scientific explanations by fading scaffolds in instructional materials. Journal of the Learning Sciences, 15(2), 153–191. https://doi.org/10.1207/s15327809jls1502_1Mertler, C. A., & Vannatta, R. A. (2017). Advanced and multivariate statistical methods : practical application and interpretation (Sexta).Millonado-Valdez, J., & Datu, J. (2023). Does Facebook intensity matter for academic self-efficacy? A path analytic approach. Technology Enhanced Learning (Vol. 18).Moos, D., & Azevedo, R. (2009). Self-efficacy and prior domain knowledge: To what extent does monitoring mediate their relationship with hypermedia learning? Metacognition and Learning, 4(3), 197–216. https://doi.org/10.1007/s11409-009-9045-5Mui, C. (2016). The trend and delivery architecture of e-learning system. In E-Systems for the 21st Century: Concept, Developments, and Applications (pp. 84–104).Multon, K., Brown, S., & Lent, R. W. (1991). Relation of Self-Efficacy Beliefs to Academic Outcomes: A Meta-Analytic Investigation. Journal of Counseling Psychology, 38(1), 30–38.Murphy, Christine., Coover, D., & Owen, S. (1989). Development and Validation of the Computer Self-Efficacy Scale. Educational and Psychological Measurement, 49(4), 893–899. https://doi.org/10.1177/001316448904900412Niño-Ramos, M. (2019). Personalización de un ambiente educativo digital y su efecto sobre el logro de aprendizaje y la percepción en estudiantes de primaria diferenciados por su estilo cognitivo [Tesis doctoral Universidad Pedagógica Nacional].Nong, W., Ye, J. H., Chen, P., & Lee, Y. S. (2023). A study on the blended learning effects on students majoring in preschool education in the post-pandemic era: An example of a research-method course in a Chinese university. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.962707Nori, R., Boccia, M., Palmiero, M., & Piccardi, L. (2023). The contribution of field independence in virtual spatial updating. Current Psychology, 4567–4576. https://doi.org/10.1007/s12144-021-01788-3/PublishedNozari, A., & Siamian, H. (2015). The Relationship between Field Dependent-Independent Cognitive Style and Understanding of English Text Reading and Academic Success. Materia Socio Medica, 27(1), 39. https://doi.org/10.5455/msm.2014.27.39-41Olaz, F. (2001). La Teoría Social Cognitiva de la Autoeficacia. Contribuciones a la Explicación del Comportamiento vocacional. https://www.uky.edu/~eushe2/Pajares/olaz.pdfOwn, C. M., Cai, T., & Hung, C. Y. (2023). Exploring the Potential of Tangible and Multitouch Interfaces to Promote Learning Among Preschool Children. IEEE Transactions on Learning Technologies, 16(1), 66–77. https://doi.org/10.1109/TLT.2022.3170031Pajares, F. (1996). Self-Efficacy Beliefs in Academic Settings Author. American Educational Research Association, 66(4), 543–578.Pajares, F., & Miller David. (1995). Mathematics Self-Efficacy and Mathematic Performances:The Need for Specificity of Assessment. Journal of Counseling Psycology, 42, 190–198.Park, B., Moreno, R., Seufert, T., & Brünken, R. (2011). Does cognitive load moderate the seductive details effect? A multimedia study. Computers in Human Behavior, 27(1), 5–10. https://doi.org/10.1016/j.chb.2010.05.006Pea, R. D. (2004). The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. Journal of the Learning Sciences, 13(3), 423–451. https://doi.org/10.1207/s15327809jls1303_6Peechapol, C., Na-Songkhla, J., Sujiva, S., & Luangsodsai, A. (2018). An exploration of factors influencing self-efficacy in online learning: A systematic review. International Journal of Emerging Technologies in Learning, 13(9), 64–86. https://doi.org/10.3991/ijet.v13i09.8351Pellas, N. (2023). Exploring relationships among students’ computational thinking skills, emotions, and cognitive load using simulation games in primary education. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12819Pintrich, P., Smith, D., Garcia, T., & McKeachie, W. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor. Michigan, 48109(August 2016), 1259. https://doi.org/ED338122Pituch K. A., Stevens J. P. (2015). Applied multivariate statistics for the social sciences: Analyses with SAS and IBM's SPSS (6th ed.). New York, NY: Routledge.Prieto-Navarro, L. (2012). Autoeficacia del profesor universitario (S. A. E. Narcea, Ed.; 1st ed.).Prineas, M., Foreword, M. C., Ewell, P., & Cini, M. (2011). National Institute for Learning Outcomes Assessment | 1 Assessing Learning in Online Education: The Role of Technology in Improving Student Outcomes National Institute for Learning Outcomes Assessment About the Authors.Puzziferro, M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. International Journal of Phytoremediation, 21(1), 72–89. https://doi.org/10.1080/08923640802039024Quintero-Manes, R., Vieira, C., & Hernandez-Vargas, N. (2022). Measuring Cognitive Loads while Learning Computational Statistics. Proceedings - Frontiers in Education Conference, FIE, 2022-October. https://doi.org/10.1109/FIE56618.2022.9962606Ratsameemonthon, L., Ho, R., Tuicomepee, A., & Blauw, J. (2018). Influence of achievement goals and academic self-efficacy on academic achievement of Thai undergraduate students: Across non procrastinators and procrastinators. Electronic Journal of Research in Educational Psychology, 16(45), 243–271. https://doi.org/10.25115/ejrep.v16i45.2093Roces, C., & González, M. (1998). Capacidad de autorregulación del proceso de aprendizaje. En Pirámide (Ed.), Dificultades de aprendizaje escolar.Rodríguez-Guardado, M. del S., & Gaeta-González, M. L. (2020). Perfiles motivacionales, estrategias volitivas y rendimiento académico en ciencias exactas y experimentales de bachillerato. Electronic Journal of Research in Educational Psychology, 18(51), 207–224.Sánchez-Rosas, J. (2013). Búsqueda de Ayuda Académica, Autoeficacia Social Académica y Emociones deLogro en Clase en Estudiantes Universitarios. Revista Argentina de Ciencias Del Comportamiento, 5(1), 35–41. www.psyche.unc.edu.ar/raccSawa, H. (1966). Bunseki shikó to sógó shikó [Analytic thinking and synthetic thinking]. Bulletin of Faculty of Education, Nagasaki University, 13, 1–16.Schimmenti, A., Infanti, A., Badoud, D., Laloyaux, J. y Billieux, J. (2017). Schizotypal personality traits and problematic use of massively-multiplayer online role-playing games (mmorpgs). Computers in Human Behavior, 74, 286-293. https://doi.org/10.1016/j.chb.2017.04.048Schellens, T., & Valcke, M. (2005). Collaborative learning in asynchronous discussion groups: What about the impact on cognitive processing? Computers in Human Behavior, 21(6), 957–975. https://doi.org/10.1016/j.chb.2004.02.025Schunk, D. H. (1990). Goal Setting and Self-Efficacy During Self-Regulated Learning. Educational Psychologist, 26(71–86). http://www.tandf.co.uk/journals/Schunk, D. H. (2012). Teorías del aprendizaje : una perspectiva educativa (Sexta). Pearson Educación.Schunk, D. H., & Zimmerman, B. J. (1994). Self-regulation in education: retrospect and prospect. Issues and Educational Applications.Sins, P. H. M., Van-Joolingen, W. R., Savelsbergh, E. R., & Van-Hout-Wolters, B. (2008). Motivation and performance within a collaborative computer-based modeling task: Relations between students’ achievement goal orientation, self-efficacy, cognitive processing, and achievement. Contemporary Educational Psychology, 33(1), 58–77. https://doi.org/10.1016/j.cedpsych.2006.12.004Solórzano-Restrepo, J., & López-Vargas, O. (2019). Differential effect of a metacognitive scaffolding in a e-Learning environment over cognitive load, learning achievement and metacognitive consciousness. Suma Psicológica, 26(1), 37–45. https://doi.org/10.14349/sumapsi.2019.v26.n1.5Song, D., & Glazewski, K. (2023). Scaffolding self-regulated learning in student-generated questioning using mobile phones. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11627-6Stephen, J. S., & Rockinson-Szapkiw, A. J. (2021). A high-impact practice for online students: the use of a first-semester seminar course to promote self-regulation, self-direction, online learning self-efficacy. Smart Learning Environments, 8(1). https://doi.org/10.1186/s40561-021-00151-0Sun, J. C. Y., Liu, Y., Lin, X., & Hu, X. (2023). Temporal learning analytics to explore traces of self-regulated learning behaviors and their associations with learning performance, cognitive load, and student engagement in an asynchronous online course. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1096337Suryani, Y., Ningrum, A. R., Hidayah, N., & Dewi, N. R. (2021). The effectiveness of blended learning-based scaffolding strategy assisted by google classroom toward the learning outcomes and students’ self-efficacy. IOP Conference Series: Earth and Environmental Science, 1796(1). https://doi.org/10.1088/1742-6596/1796/1/012031Sweller, J., Ayres, P., & Kalyuga, S. (2008). Explorations in the Learning Sciences , Instructional Systems and Performance Technologies. https://doi.org/10.1007/978-1-4419-8517-0Teng, M. F., & Ying, Z. (2023). Assessing self-regulated writing strategies, self-efficacy, task complexity, and performance in English academic writing. Assessing Writing, 57. https://doi.org/10.1016/j.asw.2023.100728Tinajero, C., Castelo, A., Guisande, A., & Páramo, F. (2011). Adaptive teaching and field dependence-independence Adaptive Teaching and Field Dependence-Independence: Instructional Implications Enseñanza adaptativa y dependencia-independencia de campo: implicaciones instruccionales. Revista Latinoamericana de Psicología, 43(3), 497–510Trevors, G., Duffy, M., & Azevedo, R. (2014). Note-taking within MetaTutor: interactions between an intelligent tutoring system and prior knowledge on note-taking and learning. Educational Technology Research and Development, 62(5), 507–528. https://doi.org/10.1007/s11423-014-9343-8Triana-Vera, S. (2012). Autoeficacia, estilo cognitivo y logro académico en ambientes computacionales. Universidad Pedagógica Nacional.Triana-Vera, S., & López-Vargas, O. (2023). Autoeficacia y logro académico en ambientes virtuales de aprendizaje. Plumilla Educativa Universidad de Manizales, 31(1), 7–32. https://orcid.org/0000-0003-2298-Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in Web-based science learning: The role of Internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43–50. https://doi.org/10.1080/1355800032000038822Usher, E., & Pajares, F. (2008). Sources of Self-Efficacy in school: Critical review of the literature and future directions. Review of Educational Research, 78(4), 751–796. https://doi.org/10.3102/0034654308321456Valdés-Cuervo, Ángel, Cervantes-Arreola, D., Valadez-Sierra, M., & Quintana, J. (2018). Diferencias en autoeficacia académica, bienestar psicológico y motivación al logro en estudiantes universitarios con alto y bajo desempeño académico. Psicología Desde El Caribe, 35(1).Valencia-Vallejo, N. (2017). Autoeficacia académica, capacidad metacognitiva, logro de aprendizaje y estilo cognitivo en ambientes e-learning. [Tesis doctoral, Universidad Pedagógica Nacional].Valencia-Vallejo, N., López-Vargas, O., & Sanabria-Rodríguez, L. (2016). Self-Efficacy in Computer-Based Learning Environments: A Bibliometric Analysis. Psychology, 7(14), 1839–1857. https://doi.org/10.4236/psych.2016.714170Valencia-Vallejo, N., López-Vargas, O., & Sanabria-Rodríguez, L. (2018). Effect of a motivational scaffolding on e-learning environments: self-efficacy, learning achievement, and cognitive style. Journal Educators On-Line, 15(1), 1–14. https://doi.org/10.9743/JEO2018.15.1.5Valencia-Vallejo, N., López-Vargas, O., & Sanabria-Rodríguez, L. (2019). Effect of a metacognitive scaffolding on self-efficacy, metacognition, and achievement in e-learning environments. Knowledge Management & E-Learning: An International Journal (KM&EL) Knowledge Management & E-Learning, 11(1), 1–19.Wang, P., Hawk, W. B., & Tenopir, C. (2000). Users’ interaction with World Wide Web resources: an exploratory study using a holistic approach. Information Processing and Management, 36, 229–251.Wang, A. Y., & Newlin, M. H. (2002). Predictors of web-student performance: The role of self-efficacy and reasons for taking an on-line class. Computers in Human Behavior, 18(2), 151–163. https://doi.org/10.1016/S0747-5632(01)00042-5Wecker, C., Kollar, I., Fischer, F., & Prechtl, H. (2010). Fostering Online Search Competence and Domain-Specific Knowledge in Inquiry Classrooms: Effects of Continuous and Fading Collaboration Scripts. https://doi.org/https://doi.dx.org/10.22318/icls2010.1.810Weller, H., Repman, J., Lan, W., & Rooze, G. (1995). Improving the Effectiveness of Learning Through Hypermedia-Based Instruction: The Importance of Learner Characteristics. Computers in Human Behavior, 11(4), 451–465.Winter, V., Friend, M., Matthews, M., Love, B., & Vasireddy, S. (2019). Using Visualization to Reduce the Cognitive Load of Threshold Concepts in Computer Programming.Witkin, H., Moore, C., Goodenough, D., & Cox, P. (1977). Field-Dependent and Field-Independent Cognitive Styles and Their Educational Implications. Review of Educational Research, 47(1), 1–64.Yavuzalp, N., & Bahcivan, E. (2020). The online learning self-efficacy scale: Its adaptation into turkish and interpretation according to various variables. Turkish Online Journal of Distance Education-TOJDE , 21(1), 31–44.Yeh, Y., Ting, Y.-S., & Chiang, J.-L. (2021). Influences of Growth Mindset, Fixed Mindset, Grit, and Self determination on Self efficacy in Game based Creativity Learning. Educational Technology & Society, 1(26), 62–78.You, J. W. (2018). Testing the three-way interaction effect of academic stress, academic self-efficacy, and task value on persistence in learning among Korean college students. Higher Education, 76(5), 921–935. https://doi.org/10.1007/s10734-018-0255-0Yukselturk, E., & Bulut, S. (2007). Predictors for Student Success in an Online Course. In Educational Technology & Society (Vol. 10, Issue 2).Zhang, J. H., Meng, B., Zou, L. C., Zhu, Y., & Hwang, G. J. (2021). Progressive flowchart development scaffolding to improve university students’ computational thinking and programming self-efficacy. Interactive Learning Environments. https://doi.org/10.1080/10494820.2021.1943687Zhang, J., & Tian, Y. (2019). The influence of field independent-dependent cognitive styles on students’ learning performance under different teaching modes. ACM International Conference Proceeding Series, Part F148391, 230–237. https://doi.org/10.1145/3323771.3323827Zheng, Robert. (2009). Cognitive effects of multimedia learning. Information Science Reference.Zhu, Y. Q., Chen, L. Y., Chen, H. G., & Chern, C. C. (2011). How does Internet information seeking help academic performance? - The moderating and mediating roles of academic self-efficacy. Computers and Education, 57(4), 2476–2484. https://doi.org/10.1016/j.compedu.2011.07.006Zimmerman, B. J. (1995). Self-efficacy and educational development. In A. Bandura (Ed.), Self-efficacy in Changing Societies (Tercera). Cambridge University Press. https://www.researchgate.net/publication/247480203Zimmerman, B., & Campillo, M. (2003). Motivating Self-Regulated Problem Solvers. The Psychology of Problem Solving, 233–262. https://doi.org/10.1017/CBO9780511615771.009Zimmerman, W., & Kulikowich, J. (2016). Online Learning Self-Efficacy in Students With and Without Online Learning Experience. American Journal of Distance Education, 30(3), 180–191. https://doi.org/10.1080/08923647.2016.1193801Zimmerman, W. (2017). Predicting Success in an Online Course using Expectancies, Values, and Typical Mode of Instruction. International Journal of E-Learning & Distance Edication, 32(1), 2–20.THUMBNAILCarga cognitiva, Autoeficacia y Logro de Aprendizaje en Ambientes vituales de Aprendizaje.pdf.jpgCarga cognitiva, Autoeficacia y Logro de Aprendizaje en Ambientes vituales de Aprendizaje.pdf.jpgIM Thumbnailimage/jpeg2299http://repository.pedagogica.edu.co/bitstream/20.500.12209/18990/4/Carga%20cognitiva%2c%20Autoeficacia%20y%20Logro%20de%20Aprendizaje%20en%20Ambientes%20vituales%20de%20Aprendizaje.pdf.jpg7abb606cb50a37ab68a2ecbb48cdc174MD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repository.pedagogica.edu.co/bitstream/20.500.12209/18990/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52202303780211743-01 NOV 23 SONIA TRIANA.pdf202303780211743-01 NOV 23 SONIA TRIANA.pdfLICENCIA APROBADAapplication/pdf357428http://repository.pedagogica.edu.co/bitstream/20.500.12209/18990/3/202303780211743-01%20NOV%2023%20SONIA%20TRIANA.pdfa57b453fe8ef6819aec955e063520fb7MD53ORIGINALCarga cognitiva, Autoeficacia y Logro de Aprendizaje en Ambientes vituales de Aprendizaje.pdfCarga cognitiva, Autoeficacia y Logro de Aprendizaje en Ambientes vituales de Aprendizaje.pdfapplication/pdf4634115http://repository.pedagogica.edu.co/bitstream/20.500.12209/18990/1/Carga%20cognitiva%2c%20Autoeficacia%20y%20Logro%20de%20Aprendizaje%20en%20Ambientes%20vituales%20de%20Aprendizaje.pdfc3898ae3a1e77fa1b9adc5b2b6698771MD5120.500.12209/18990oai:repository.pedagogica.edu.co:20.500.12209/189902024-05-21 14:31:03.468Repositorio Institucional Universidad Pedagógica Nacionalrepositorio@pedagogica.edu.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