Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas.
La tesis que se presenta es coherente con los lineamientos del Programa Interinstitucional de Doctorado en Educación y de manera concreta a los intereses que desde el grupo Estilos Cognitivos se viene desarrollando en torno al estudio de la regulación en situaciones colaborativas de aprendizaje. Con...
- Autores:
-
Granados López, Hedilberto
- 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:20.500.12209/19149
- Acceso en línea:
- http://hdl.handle.net/20.500.12209/19149
- Palabra clave:
- Regulación de la comunicación
Regulación de la tarea
Construcción compartida de conocimiento
Procesos colaborativos
Task regulation
Regulation of communication
Shared construction of knowledge
Collaborative processes
Aprendizaje colaborativo - Teorías
Estilos cognitivos
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/
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oai:repository.pedagogica.edu.co:20.500.12209/19149 |
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dc.title.spa.fl_str_mv |
Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas. |
dc.title.translated.eng.fl_str_mv |
Model for the analysis and characterization of social regulation during the development of collaborative tasks. |
title |
Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas. |
spellingShingle |
Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas. Regulación de la comunicación Regulación de la tarea Construcción compartida de conocimiento Procesos colaborativos Task regulation Regulation of communication Shared construction of knowledge Collaborative processes Aprendizaje colaborativo - Teorías Estilos cognitivos |
title_short |
Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas. |
title_full |
Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas. |
title_fullStr |
Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas. |
title_full_unstemmed |
Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas. |
title_sort |
Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas. |
dc.creator.fl_str_mv |
Granados López, Hedilberto |
dc.contributor.advisor.spa.fl_str_mv |
Hederich Martínez, Christian |
dc.contributor.author.spa.fl_str_mv |
Granados López, Hedilberto |
dc.subject.spa.fl_str_mv |
Regulación de la comunicación Regulación de la tarea Construcción compartida de conocimiento Procesos colaborativos |
topic |
Regulación de la comunicación Regulación de la tarea Construcción compartida de conocimiento Procesos colaborativos Task regulation Regulation of communication Shared construction of knowledge Collaborative processes Aprendizaje colaborativo - Teorías Estilos cognitivos |
dc.subject.keywords.eng.fl_str_mv |
Task regulation Regulation of communication Shared construction of knowledge Collaborative processes |
dc.subject.lemb.spa.fl_str_mv |
Aprendizaje colaborativo - Teorías Estilos cognitivos |
description |
La tesis que se presenta es coherente con los lineamientos del Programa Interinstitucional de Doctorado en Educación y de manera concreta a los intereses que desde el grupo Estilos Cognitivos se viene desarrollando en torno al estudio de la regulación en situaciones colaborativas de aprendizaje. Con la tesis se buscó proponer un modelo de regulación social a partir del análisis y caracterización de episodios de interacción en grupos de trabajo académico durante la realización de tareas diseñadas bajo protocolos de colaboración. Tanto el modelo como el análisis se realizó considerando las categorías de regulación de la tarea, regulación de la comunicación, construcción compartida de conocimiento presente en el desarrollo de actividades colaborativas y el monitoreo de grupo. En cuanto al modelo, éste parte de considerar el ejercicio grupal de resolución de tareas colaborativas cómo la interacción entre individuos en los cuales se regulan aspectos cognitivos y metacognitivos asociados con procesos colaborativos de construcción compartida de conocimiento (Zhang et al., 2011), aspectos de regulación social de la tarea (Winne y Hadwin, 1998), aspectos de regulación social de la comunicación (Janssen et al., 2012) y aspectos de monitoreo que el grupo genera durante el proceso de resolución de tareas colaborativas (Grau y Whitebread, 2012; Järvenoja et al., 2012; Rogat y Linnenbrink, 2011). En el aspecto estructural el modelo se encuentra conformado por cuatro fases desde las cuales se considera el abordaje de los episodios de interacción relacionados con la regulación social y de la colaboración. La primera fase se encuentra comprendida por la iniciación, las preguntas al grupo, los juicios sobre la tarea y la comprensión de la tarea. La segunda fase la conforman la exploración, la adaptación de la percepción de la tarea, el intercambio de información y la organización de la información. La tercera fase incluye negociación, negociación de objetivos y planificación de metas, la cuarta fase la constituye la generación, la adaptación de metas, la ejecución de metas y la reflexión sobre la tarea. El modelo, en su aplicación práctica, permite analizar y caracterizar los episodios de interacción que se dan entre los integrantes de un grupo de trabajo a partir de fases y episodios recurrentes en aspectos asociados con la colaboración, la regulación de la comunicación y la regulación de la tarea. La disposición de los diferentes episodios de interacción que conforman los componentes se encuentra ordenados de manera jerárquica de arriba hacia abajo e interrelacionados entre sí para dar cuenta de las fases que conforman el modelo sobre regulación social. Cabe recordar que el episodio de interacción como unidad básica del mensaje permite analizar y clasificar los mensajes colectivos que suceden en un determinado grupo de trabajo. Así mismo, estos episodios permiten identificar la ubicación en una determinada fase de acuerdo al componente al que corresponda dicho episodio. De acuerdo con Liskala et al., (2011), los episodios de interacción se consideran como la unidad básica de análisis conformada por una secuencia de contribuciones verbales que se dan entre los diferentes miembros de un grupo de trabajo durante el desarrollo de tareas colaborativas y cuya duración está delimitada por el marco en el que se sucede el inicio y finalización de un mensaje o contribución, o cuando cesan las contribuciones sobre la temática que generó la secuencia de mensajes. |
publishDate |
2023 |
dc.date.issued.none.fl_str_mv |
2023 |
dc.date.accessioned.none.fl_str_mv |
2024-01-25T00:39:39Z |
dc.date.available.none.fl_str_mv |
2024-01-25T00:39:39Z |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
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/20.500.12209/19149 |
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/20.500.12209/19149 |
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 |
Anderson, A. H., O'Malley, C., Doherty-Sneddon, G., Langton, S., Newlands, A., Mullin, J., Fleming, A. M., & Van der Velden, J. (1997). The impact of VMC on collaborative problem solving: An analysis of task performance, communicative process, and user satisfaction. In K. E. Finn, A. J. Sellen, & S. B. Wilbur (Eds.), Video-mediated communication (pp. 133–155). Lawrence Erlbaum Associates Publishers. Bandura, A. & Cervone, D. (1986). Differential engagement of self-reactive influences in cognitive motivation. Organizational Behavior and Human Decision Processes, (38), 92-113. Bandura, A. (1997). Self-Efficay: The Exercise of control. New York: freeman. Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual review of psychology (Vol. 52, pp. 1-26). Palo Alto: Annual Reviews, Inc. Bandura, A. (2009). Self-efficacy in changing societies. Cambrige, University, Press. Baker, M. J. (2009). Intersubjective and intrasubjective rationalities in pedagogical debates: Realizing what one thinks. In B. Schwarz, T. Dreyfus & R. Hershkowitz (Eds.), Transformation of Knowledge Through Classroom Interaction, pp. 145-158. London: Routledge. Baker, M. J., Bernard, F.-X. & Dumez-Féroc, I. (2012). Integrating computer-supported collaborative learning into the classroom: the anatomy of a failure. Journal of Computer Assisted Learning, 28, 161-176. Baker, Michael. (2015). Collaboration in collaborative learning. Interaction Studies. 16. 451-473. 10.1075/is.16.3.05bak. https://www.researchgate.net/publication/288886296_Collaboration_in_collaborative_learning Barkley, EF, Cross, KP & Howell Mayor, C. (2005). Técnicas de aprendizaje colaborativo: Un manual para los profesores de la universidad. España: Morata. Recuperado de: http://eva.sepyc. • Rúbricas. • Fichas de autoevaluación y/o coevaluación. • Guías de observación. gob.mx:8383/greenstone3/sites/localsite/ collect/superior/index/assoc/HASH019f/ ab416422.dir/05120010029.pdf. Bakhtiar, A. (2015). Challenges in collaborative learning: Where do we go from here? Unpublished manuscript. Barros, B y Verdejo, M. F. (2001). Entornos para la realización de actividades de aprendizaje colaborativo a distancia Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial, vol. 5, núm. 12, primavera, pp. 39-49. https://www.redalyc.org/articulo.oa?id=92551205 Barca, A., Peralbo, M. y Brenlla, J. (2004). Atribuciones causales y enfoques de aprendizaje: la escala SIACEPA. Psicothema, 16(1), 94-103. Biggs, J. (1987). Learning Process Questionnaire (LPQ). Manual. Hawthorn: Australian Council for Educational Research. Biggs, J. (1989). Approaches to the enhancement of tertiary teaching. Higher Education Research and Development, (8), 68- 80. Biggs, J. (1993). What do inventories of students learning processes really measure? A theoretical review and clarification. British Journal of Educational Psychology, (63), 3-19. Biggs, J. (1999). Teaching for quality learning at University. Buckingham: Open University Press. Biggs, J. (2001). Teaching for Quality Learning at University. Buckingham: Open University Press. Biggs, J. (2003). Teaching for Quality Learnig at University. Berkshire: The Society for Research into Higher Education & Open University Press. Biggs, J., Kember, D. & Leung, D. (2001). The revised two-factor Study Process Questionnaire: R- SPQ-2F. British Journal of Educational Psychology, (71), 133-149. Boekaerts, M. (1996). Self-regulated learnbing at the junction os cognition and motivation. European Psychologist, Vol 1 (2), pp. 100-112. Boekaerts, M. (1999). Motivated learning: Studying student situation transactional units. European Journal of Psychology of Education, 14(1), 41-55. doi: 10.1007/bf03173110 Boekaerts, M., & Niemivirta, M. (2000). Self-regulated learning: Finding a balance between learning goals and ego-protective goals. In M. Boekaerts, P. R. Pintrich & M. Zeidner (Eds.), Handbook of self-regulation (pp. 417-451). San Diego, CA: Academic Press. Boekaerts, M, Pintrich, P. R, Zeidner, M. (2000). Handbook of self-regulation. San Diego: Academic Press. Boekaerts, M, y Corno, L (2005). Self-regulated in the classroom: A perspective on assessment and intervention. Applied psychology: an international review, vol 54. Numer 2. Pp. 199-231. Borge, M., Toprani, D., Yan, S., & Xia, Y. (2020). Embedded design: engaging students as active participants in the learning of human-centered design practices. Computer Science Education, 30(1), 47-71. Borge, M., & White, B. (2016). Toward the development of socio-metacognitive expertise: An approach to developing collaborative competence. Cognition and Instruction, 34(4), 323-360. Brown, D. (2000). Principles of language learning and teaching. New York: Pearson. Brown, A. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In F. E. Weinert & R. H. Kluwe, (Eds.) Metacognition, motivation, and understanding (pp. 65-116). Hillsdale, NJ: Lawrence Erlbaum. Bruffee, K. A. (1993). Collaborative Learning: Higher education, interdependence, and the authority of knowledge. Baltimore, MD: Johns Hopkins University Press. Bruffee, K. A y Kenneth, A. (1999). Collaborative Learning: Higher education, interdependence, and the authority of knowledge. Baltimore, MD: Johns Hopkins University Press. Second Edition. Blumenfeld, C. P, Ronald, W. M, Soloway, E y Krajcik, J. 1996. Leaning with peers: from small group cooperation to collaborative communities. Educational researcher. Vol 25, No 8, pp 37-40. https://doi.org/10.3102/0013189X025008037 Castellanos, R. J. C, Onrubia. J. (2015). La regulación compartida en entornos de aprendizaje colaborativo: Una revisión del estado de la investigación empírica. EKS, Vol 16, N°3. Castellanos, J. C, Onrubia, J. (2016). Shared regulation in collaborative learning environments mediated by computer: differences between high and low performance groups. AIESAD-RIED, VOL 19, N° 1, pp. 233-251. Castellanos Ramírez, J. C., & Niño Carrasco, S. A. (2019). Procesos de regulación social y desarrollo del conocimiento en espacios de colaboración en línea. Revista De Investigación En Tecnologías De La Información, 7(14), 180–189. https://doi.org/10.36825/RITI.07.14.015 Cabrera, E. P. (2008). La colaboracion en el aula: más que uno más uno." Revista Latinoamericana de Psicología, vol. 41, no. 3, summer 2009, pp. 610+. Gale Academic OneFile, link.gale.com/apps/doc/A215716047/AONE?u=anon~7dfcd7d8&sid=googleScholar& xid=0a32dd8e. Accessed 28 May 2023. Cole, M. (1990). Cognitive development and formal schooling: the evidence from sociocultural research. En: L. Moll (ed.). Vygotski and Education. Cambridge: Cambridge University Press. Colomina, R y Remesal, A. (2015). Social presence and virtual collaborative learning processes in higher education / Presencia social y procesos de aprendizaje colaborativo virtual en educación superior. Infancia y Aprendizaje. 38. 1-34. 10.1080/02103702.2015.1054664. Coll, C, Rochera, M y Colomina, R. (2010). Usos situados de las TIC y mediación de la actividad conjunta en una secuencia instruccional de educación primaria. Electronic Journal of Research in Educational Psychology. 8. 517-540. 10.25115/ejrep.v8i21.1384. Corno, L. (1993). The best-laid plans: Modern conceptions and educational research. Educational Research, 22(2), 14-22. Corno, L. (2001). Volitional aspects of self-regulated learning. In Zimmerman, B. & Schunk, D. (Eds.). Self-regulated learning and academic achievement: Theoretical perspectives (pp. 191-225). New Jersey: Lawrence Erlbaum. Corno, L. (2008). Work habits and self-regulated learning: Helping students to find a ‘will’ from a ‘way’. In Zimmerman, B. & Schunk, D. (Eds.). Motivation and self-regulated learning: Theory, research, and applications (pp. 197–222). Mahwah, NJ: Erlbaum. Chan, C. K.K. (2012). Co-regulation of learning in computer-supported collaborative learning enviroments: a discussion. Metacognition and learning. Vol 7. Pp 63-73. Cho, M. H y Kim, J. 2013. Students`self-regulation for interaction with others in online learning enviroments. The internet and higher education, Vol 17, pp. 69-75 Deci, L. (1972). Intrinsic motivation, extrinsic reinforcement and inequity. Journal of Personality and social Psychology, 22(1),113-120. Denzin, N. K., y Lincoln, Y. S. (1998). The landscape of qualitative research. New Delhi: Sage Publications. Di Donato, N. C. (2013). Effective self- and co-regulation in collaborative learning groups: An analysis of how students regulate problem solving of authentic interdisciplinary tasks. Instructional Science, 41, 25-47. doi: 10.1007/s11251-012-9206- 9 Dillenbourg, P., M. Baker, A. Blaye & C. O’Malley (1996). “The evolution of research on collaborative learning”. En: E. Spada & P. Reiman (eds.). Learning in Humans and Machine: Towards an Interdisciplinary Learning Science. Oxford: Elsevier. Dillenboug, P. (1999). “What do you mean by ‘collaborative learning’?”. En: P. Dillenbourg (ed.). Collaborative Learning: Cognitive and Computational Approaches. Amsterdam: Pergamon Press Dongho Kim & Cheolil Lim (2018) Promoting socially shared metacognitive regulation in collaborative project-based learning: a framework for the design of structured guidance, Teaching in Higher Education, 23:2, 194-211, DOI: 10.1080/13562517.2017.1379484 Dunkin, M. & Biddle, B. (1974). The study of teaching. Oxford: Holt, Rinehart & Winston. Durfee, H. E, Lesser, R. V y Daniel D Corkill, D. D. (1988). Coherent cooperation among com municating problem solvers. IEEE Transactions on Computers, C-36 (11): 1275-1291 ( Also published in Readings in Distributed Articial Intel ligenceAlan H Bond and Les Gasser editors pages 268-284, Morgan Kaufmann1988). Eccles, JS (2005). Valor de la tarea subjetiva y la Eccles et al. Modelo de opciones relacionadas con el rendimiento. En AJ Elliot y CS Dweck (Eds.), Manual de competencia y la motivación (pp. 105-121). Nueva York: Guilford. Elliot, J. A, Dweck, S. C. (2005). Handbook of competence and motivation. The Guilford Press, New York and London. Library of Congress Cataloging in Publication Data. Elliot, A. J, y Flavell, J. H. (1979). Metacognition and cognitive monitoring: New area of cognitve- developmental inquirí: American Psychologist, Vol 34, N° 10. P. 906-911. Elliot, A. J., & Covington, M. V. (2001). Approach and Avoidance Motivation. Educational Psychology Review, 13, 73-92. https://doi.org/10.1023/A:1009009018235 ickson, F. (1986). Qualitative methods in research ofteaehing. En Mwittrock (ed), Handbook of research writing. Computers in human behavior, Vol 21. Pp. 463-486. Doi: 10.1016/j.chb.204.10.038. Erikson, E. (1968). Identidad. La juventud y la crisis. Nueva York: Norton. Revista de Investigaciones No 31 113 Entwistle, N. & Waterston, S. (1988). Approaches to study and levels of processing in university students. British Journal of Educational Psychology, (58), 258-265. Fernández, J. (2004). Concepción de aprendizaje, metacognición y cambio conceptual en estudiantes universitarios de psicología. (Tesis doctoral). Departamento de Psicología Básica. Universidad de Barcelona, España. Fernández, J. (2007). Concepción de aprendizaje y estrategias metacognitivas en estudiantes universitarios de psicología. Anales de Psicología, 23(1), 7-16. Fernández, M. (2008). El aprendizaje basado en problemas en el marco del Espacio Europeo de Educación Superior desde la percepción del estudiante: estudios cualitativos y selectivos. (Tesis doctoral). Universidad de León, España. Flavell, J. (1987). Speculation about the nature and development of metacognition. In: Wernert, F. and Kluwe, R. (Eds.). Metacognition, Motivation and Understanding. Hillsdale, NJ: Lawrence Erlbaum Associates. Friedrich, H. & Mandl, H. (1992). Lern und denkstrategien. Ein problemaufriß. In Friedrich, H. & Mandl, H. (Hrsg.). Lern und Denkstrategien (s. 3-54). Göttingen: Hogrefe Flavell, J. (1979). Metacognition and Cognitive Monitoring. A New Area of cognitive Developmental Inquiry, en American Psychologist. (pp. 705-712). Friedrich, H. F, Fischer, P. M, Krämer, D y Mandl, H. (1985). Develomenpt and evaluation of a program facilitating comprehension of text. In: d`Ydevalle, G. (Ed.): Cognition, information processing and motivation. North Holland, Amsterddam. Pp. 375-390. Garrison, D.R, Akyol, Z. (2015). Toward the develoment of a metacognition construct for communities of inquirí. Internet and higher education. Vol 24. Pp. 66-71. Grau, V., & Whitebread, D. (2012). Self and social regulation of learning during collaborative activities in the classroom: The interplay of individual and group cognition. Learning and Instruction, 22(6), 401-412. doi: 10.1016/j.learninstruc.2012.03.003 Greeno, J. G. (2006). Learning in activity. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 79-96). New York: Cambridge University Press. Gourgey, A.F. (2001). Metacognition in basic skills instrution. In H.J. Hartman (ed.), metacognition in learning and instruction. Netherlands: klumer academic publishers. Pp. 17-32. González, C. G y Díaz, M. L. (2005). Aprendizaje colaborativo: una experiencia desde las aulas universitarias Educación y Educadores, vol. 8, pp. 21-44 Universidad de La Sabana Cundinamarca, Colombia. https://www.redalyc.org/articulo.oa?id=83400804 Guilford. Erikson, E. (1968). Identidad: La juventud y la crisis. Nueva York: Norton. Oro, M. (Ed.). (1999). El científico social completa: Un lector de Kurt Lewin. Gruber, R. E., Steffen, J. J., & Vonderhaar, S. P. (1995). Lucid dreaming, waking personality and cognitive development. Dreaming, 5(1), 1–12. https://doi.org/10.1037/h0094419 Hadwin, A. F, Oshide, M (2011). Self-regulation, Coregulations, and socially shared regulation: Exploring perspectives of social in self-regulated learning theory. Teachers College Record. 113(2), 240-264. Hadwin, A.F, Järvelä, S. y Miller, M. (2011). Self-regulated, co-regulated, and socially shared regulation of learning. En B. J. Zimmerman y D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 65-84). New York: Routledge. Hadwin, A.F, Järvelä, S. y Miller, M. (2017). Self-regulation, co-regulation and shared regulation in collaborative learning environments. In D. Schunk, & J. Greene, (Eds.). Handbook of Self- Regulation of Learning and Performance (2nd Ed.). New York, NY: Routledge. (8) (PDF) Self- regulation, co-regulation and shared regulation in collaborative learning environments. Hurme, T. R, Merenluoto, K., & Järvelä, S. (2009). Socially shared metacognition of pre-service primary teachers in a computer-supported mathematics course and their feelings of task difficulty: A case study. Educational Research and Evaluation. 15(5), 503-524. doi: 10.1080/13803610903444659. Hurme, T.R, Palonen, T, Järvelä, S (2006). Metacognition in joint discussions: an analysis of the patterns of interaction and the metacognitve content of the net worked discussion in mathematics. Metacognition and learning. 1(1), 181-200. Izquierdo, A. M. y Iborra, C. A. (2010). ¿Cómo afrontar la evaluación del aprendizaje colaborativo? Una propuesta valorando el proceso, el contenido y el producto de la actividad grupal. Revista General de Información y Documentación, 20, 221-241. https://revistas.ucm.es/index.php/RGID/article/view/RGID1010110221A Isohätälä, J, Järvenoja, H, Järvelä, S. (2017). Socially shared regulation of learning and participation in social interaction in collaborative learning. International journal of educational research. 81(2), 11-24. Järvelä, S, & Järvenoja, H. (2011). Socially constructed self-regulated learning and motivation regulation in collaborative learning groups. Teachers College Record. 113(2), 350-374. Järvelä, S, Volet, S & Järvenoja, H. (2010). Research on motivation in collaborative learning: moving beyong the cognitive-situative divide and combining indivual and social processes. Educational Psychologist. 45(1), 15-27. Järvelä, S, Hadwin, A. H. (2013). New frontiers: regulating learning in CSCL. Educational Psychologist, Vol 48, pp. 25-39 Järvenoja, H, Volet, S y Järvelä, S. (2012). Regulation of emotions in socially challenging learning situations: an instrument to measure the adaptative and social nature of the regulations process. Järvelä, S (2015) How research on self-regulated learning can advance computer supported collaborative learning / El papel de la investigación sobre aprendizaje autorregulado en el desarrollo del aprendizaje colaborativo asistido por ordenador, Infancia y Aprendizaje: Journal for the Study of Education and Development, 38:2, 279-294, DOI: 10.1080/02103702.2015.1016747 Janssen, J., Erkens, G., Kirschner, P. a., & Kanselaar, G. (2012). Task-related and social regulation during online collaborative learning. Metacognition and Learning, 7(1), 25–43. doi:10.1007/s11409-010-9061-5 Kreijns, K, K., Kirschner, P. A., & Vermeulen, M. (2013). Social aspects of CSCL enviroments: A research framework. Educational Psychologist, 48(4), 229–242. https://doi.org/10.1080/00461520.2012.750225. Koivuniemi, M., Järvenoja, H., & Järvelä, S. (2018). Teacher education`strategic activities in challeng- ing collaborative learning situations. Learning, Culture and Social Interaction, 19(December), 109–123. https://doi.org/10.1016/j.lcsi.2018.05.002. Kirschner, P. A., & Erkens, G. (2013). Toward a framework for CSCL research. Educational Psychologist, 48(1), 1-8. doi: 10.1080/00461520.2012.750227 (8) (PDF) Enhancing socially shared regulation in collaborative learning groups: Designing for CSCL regulation tools. Available from: https://www.researchgate.net/publication/266852953_Enhancing_socially_shared_regulat ion_in_collaborative_learning_groups_Designing_for_CSCL_regulation_tools[accessed May 09 2020]. Khosa, D. K., & Volet, S. E. (2014). Productive group engagement in cognitive activity and metacognitive regulation during collaborative learning: can it explain differences in students’ conceptual understanding? Metacognition and Learning, pp. 287–307. doi:10.1007/s11409- 014-9117-z Lewis, K. (2003). Measuring transactive memory systems in the field: Scale development and validation. Journal of applied psychology. 88(4), 587–604. https://doi.org/10.1037/0021- 9010.88.4.587. Liskala, T, Vauras, M, Lehtinen, E, Salonen, P. (2011). Socially shared metacognition of dyads of pupils in collaborative mathematical problema-solving processes. Learning and instruction. 21(3), 379-393. Martínez-Fernández, J.R, Corcelles, M, Cerrato, L. M. (2011). The conceptions about teamwork questionnaire: desing, reliability and validity with secondary students. Educational Psychology. 31, N° 7. Pp. 857-871. Malmberg, J., Järvelä, S., Järvenoja, H. & Panadero, E. (2015). Socially shared regulation of learning in CSCL: Patterns of socially shared regulation of learning between high – and low performing student groups. Computers in Human Behavior, 52, 562-572. DOI: 10.1016/j.chb.2015.03.082 Malmberg, J., Järvelä, S. & Järvenoja, H. (2016). Capturing temporal and sequential patterns of self-, co- and socially shared regulation in the context of collaborative learning. Submitted. Maldonado, P. M. (2007). El trabajo colaborativo en el aula universitaria Laurus, vol. 13, núm. 23, pp. 263-278 Universidad Pedagógica Experimental Libertador Caracas, Venezuela. Matthews, E. (1996). Two teaching strategies for managing learning in small groups. Unpublished master of education thesis. The University of Melbourne, Australia. Monereo, C, Pozo, J. I, Castelló M. (2000). La enseñanza de estrategias de aprendizaje en el contexto escolar. Capítulo de libro en Psicología de la educación escolar, capítulo 9, publicado en Alianza Editorial, Editores Cesar Coll, Jesús Palacios y älvaro Marchesi. Moreno-Caro, J., López-Vargas, O. y SanabriaRodríguez, L. (2021). Regulación interpersonal en el trabajo colaborativo: efectos en la comprensión lectora y la autorregulación de estudiantes con diferentes estilos cognitivos. Folios, (54). https://doi.org/10.17227/folios.54-11403. Morgan, D. L. (1998). The focus group guidebook. Thousand Oaks, CA, EE. UU.: Sage. Morgan, D.L, Krueger, R.A (1998). Developing questions for focus groups. International educational and profesional Publisher. SAGE. McCaslin, M. y Murdock, T.B. (1991). The emergent interaction of home and school in the development of students’ adaptive learning. En M. L. Maehr y P. R. Pintrich (Eds.), Advances in motivation and achievement. Greenwich, CT: JAI Press. McCaslin, M., & Hickey, D. T. (2001). Educational psychology, social constructivism, and educational practice: A case of emergent identity. Educational Psychologist, 36(2), 133-140. McCaslin, M. (2009). Co-regulation of student motivation and emergent identity. Educational Psychologist, 44(2), 137-146. Myers, D. G. (2005). Psicología. Madrid: Interamericana (7a edición). Necka, E & Orzechowski, J. 2005. Higher order cognition and intelligence. In R.J. Sternberg & J.E Prezts (Eds). Cognition and intelligence: identifying mechanisms of the mind. Cambrige University press. Panadero, E, Järvelä, S. 2015. Socially share regulation of learning: a review. European Psychologist: Doi: 10.1027/1016-9040/a000226. Panadero, E., & Alonso-Tapia, J. (2013). Autoevaluación: connotaciones teóricas y prácticas. Cuando ocurre, cómo se adquiere y qué hacer para potenciarla en nuestro alumnado. Electronic Journal of Research in Educational Psychology, 11(2), 551-576. doi: http://dx.doi.org/10.14204/ejrep.30.12200 anadero, E, Kirschner, P, Järvelä, S, Järvenoja, H. (2015). How individual self-regulation afects group regulation and performance: A shared regulation intervention. Small Group Research. Panadero, E, Järvelä, S. (2015). Socially shared regulation of learning: A review. European psychologist. Palinscar, A.s y Brown, A. (1984). Reciprocal teaching of comprehension-fostering and comprehension monitoring activities. Cognition and instruction. Vol 1. Pp. 117-175. Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational Psychologist, 36(2), 89-101. Perea, J. Kay, I. Koprinska, K. Yacef, and O.R. Zaiane. (2009). Clustering and Sequential Pattern Mining of Online Collaborative Learning Data. IEEE Transac- tions on Knowledge and Data Engineering, Vol. 21(6), pp. 759-772. Perry, D. B. (2002). Childhood experience and the expression of genetic potential: what childhood neglect tells us about nature and nature. Brain and mind. Vol 3(1), pp. 79-100. Pintrich, P. R. (2000). Multiple goals, multiple pathways: the role of goal orientation on learning and achievement. Journal of educational psychology. Vol 92(3), pp. 544-555. Pintrich, P. R, Zusho, A. (2002). The develoment of academic self-regulation: the role of cognitive and motivational factor (249-284) San Diego, CA: Academic Press. Pintrich, P. (2004). “A Conceptual Framework for Assessing Motivation and SelfRegulated Learning in College Students”. [Versión electrónica] Educational Psychology Review, 16 (4): 385-407 Puustinen, M., & Pulkkinen, L. (2001). Models of self-regulated learning: A review. Scandinavian Journal of Educational Research, 45(3), 269-286. doi: 10.1080/00313830120074206 Pozo, J. I, Monereo, C. (2001). El aprendizaje estratégico. Docencia universitaria, Vol 2, N° 2. Rogat, T., & Linnenbrink-Garcia, L. (2011). Socially shared regulation in collaborative groups: An analysis of the interplay between quality of social regulation and group processes. Cognition and Instruction, 29(4), 375–415. https://doi.org/10.1080/07370008.2011.607930 Rogat, T. K., & Adams-Wiggins, K. R. (2014). Other-Regulation in Collaborative Groups: Implications for Regulation Quality. Instructional Science: An International Journal of the Learning Sciences, 42, 879-904. doi: 10.1007/s11251-014-9322-9 Rogat, T. K., & Adams-Wiggins, K. R. (2015). Interrelation between regulatory and socioemotional processes within collaborative groups characterized by facilitative and directive other- regulation. Computers in Human Behavior, 52, 589-600. doi: 10.1016/j.chb.2015.01.026 Roselli, N. D. (2011). Teoría del aprendizaje colaborativo y teoría de la representación social: convergencias y posibles articulaciones. Revista colombiana de ciencias sociales, V, 2, Número 2, pp 173-191. file:///Users/eddiegranados/Downloads/Dialnet- TeoriaDelAprendizajeColaborativoYTeoriaDeLaReprese-5123804.pdf Roselli, N. D. (2016). El aprendizaje colaborativo: Bases teóricas y estrategias aplicables en la enseñanza universitaria; Universidad San Ignacio de Loyola; Propósitos y Representaciones; Volumen 4, Número 1, pp 219-280 Rule, P, Mitchell, V.J. (2015). A necessary dialogue: theory in case study research. International journal of qualitative methods. SAGE journals. doi.org/10.1177/1609406915611575. Saad, N. (2012). Team regulation, regulation of social activities or co-regulation: Different labels for effective regulation of learning in CSCL: Metacognition and learning. 7(1), 1-6. Scagnoli, M. N. (2006). El Aprendizaje Colaborativo en Cursos a Distancia Investigación y Ciencia, vol. 14, núm. 36, septiembre-diciembre, pp. 39-47 Universidad Autónoma de Aguascalientes Aguascalientes, México Slavin, R. E. (1996). Research on Cooperative Learning and Achievement: - What can it tell us about metacognition and coregulation in learning? European Psychologist, 10(3), 199-208. doi: 10.1027/1016-9040.10.3.199. Salonen, P., Vauras, M., & Efklides, A. (2005). Social interaction - What can it tell us about metacognition and coregulation in learning? European Psychologist, 10(3), 199-208. doi: 10.1027/1016-9040.10.3.199. Salovaara, H., & Järvelä, S. (2003). Students’ knowledge building strategies in computer supported collaborative learning. Learning Environments Research, 6, 267-284. doi: 10.1023/A:1027379824485 Sobonciski, M, Järvelä, S, Malmberg, J y Muhterem, D. 2021. How does monitoring set the stage for adaptative regulation or maladaptive behavior in collaborative learning. Metacognition and learning. Springer Salomon, G., & Globerson, T. (1989). When teams do not function the way they ought to. International Journal of Educational Research, 13, 89-99. Schoor, C, Bannert, M (2012). Exploring regulatory process during a computer-sopported collaborative task using process mining. Computers in human behavior, 28, 1321-1331-doi: 10.1016/j.chb.2012.02.016. Stahl, G. (2006). Group cognition: Computer support for building collaborative knowledge. Cambridge, MA: MIT Press. Retrieved from http://www.cis.drexel.edu/faculty/gerry/mit/ Stake, R. E, (1995). Investigación con estudio de casos. Ediciones morata S. L, segunda edición, Mejía Lequerica, 12. 280004, Madrid. Stigliano, D. y Gentil, D. (2006). Enseñar y Aprender en grupos cooperativos. Argentina: Novedades Educativas. Törmänen, T., Järvenoja, H. & Mänty, K. (2021). Exploring groups’ affective states during collaborative learning: what triggers activating affect on a group level?. Education Tech Research Dev 69, 2523–2545 https://doi.org/10.1007/s11423-021-10037-0 Tudge, J., & Hogan, D. (1997). Collaboration from a Vygotskian Perspective. Biennial Meeting of the Society (págs. 2-12). Washington, DC,: ERIC Document Reproduction. Valdebenito, V. & Duran, D. (2015). Formas de interacción implicadas en la promoción de estrategias de comprensión lectora a través de un programa de tutoría entre iguales. Revista Latinoamericana de Psicología, 47 (2), 75-85. Disponible en: http://www.elsevier.es/es-revista- revista-latinoamericana-psicologia-205-pdf-S0120053415000023 Vauras, M, Liskala, T, Kajamies, A, Kinnunenm, R y Lehtinen, E. (2003). Shared regulation and motivation of collaborating peers: A case analysis. Psychologia, 4(1), 19-37. Volet, S., Summers, M., & Thurman, J. (2009). High-level co-regulation in collaborative learning: How does it emerge and how is it sustained? Learning and Instruction, 19(2), 128-143. doi: 10.1016/j.learninstruc.2008.03.001 Volet, S., Vauras, M., & Salonen, P. (2009). Self- and social regulation in learning contexts: An integrative perspective. Educational Psychologist, 44(4), 215-226. doi: 10.1080/00461520903213584. Wertsch, J. V. (1985). Vygotsky and the social formation of mind. Cambridge, MA: Harvard University Press Weiner, B. (1979). A theory of motivation for some classroom experience. Journal of educational psychology. Disponible en: file:///C:/Users/User/Downloads/1976-ATheory of MotivationforSomeClassrommExperiences.pdf Webb, N. (1991). Task-Related Verbal Interaction and Mathematics Learning in Small Groups. Journal for Research in Mathematics Education. 22. 366-. 10.2307/749186. Yin, R.K. (1989). Case study research: desing and methods, applied social research methods series, Newbury Park CA: sage. Yowell, C, Y Smylie, M. (1999). La autorregulación en las comunidades democráticas. Escuela Primaria Journal, 99(1), 469-490. Zinchenko, VP (1985). Las ideas de Vygotsky. En J. Wertsch (Ed.), La cultura, la comunicación y la cognición: perspectivas vygotskianos (94-118). New York: Cambridge University Press. Winne, P. H. (1996). A metacognitive view of individual differences in selfregulated learning. Learning and Individual Differences, 8(4), 327-353. doi: http://dx.doi.org/10.1016/S1041- 6080(96)90022-9 Winne, P. H. (1997). Experimenting to bootstrap self-regulated learning. Journal of Educational Psychology, 89(3), 397-410. doi: 10.1037/00220663.89.3.397 Winne, P. y Hadwin, A. (1998). Studying as selfRegulated learning. En D. Hacker, J. Dunlosky y A. Graesser (Eds.), Metacognition into Theory and Practice (pp. 277-304). New Jersey: Lawrence Erlbaum Associates. Winne, P., Hadwin, A. F., & Perry, N. E. (2013). Metacognition and computer-supported collaborative learning. In C. E. Hmelo-Silver, A. O'Donnell, C. Chan & C. Chinn (Eds.) International handbook of collaborative learning. New York: Taylor & Francis Whitebread, D., & Pino-Pasternak, D. (2013). Video analysis of self-regulated learning in social and naturalistic contexts: The case of preschool and primary school children. In S. Volet and M. Vauras (Eds.), Interpersonal Regulation of Learning and Motivation: Methodological Advances (pp. 14-44). London: Routledge. Zhang, Y.X., S. Sun, S.C. Olsen, M.K. Dubey, and J.H. He, 2011: CCSM3 simulated regional effects of anthropogenic aerosols for two contrasting scenarios: Rising Asian emissions and global reduction of aerosols. Int. J. Climatol., 31, 95-114, doi:10.1002/joc.2060. Zhang, Hao & Chen, L. & Qin, Jian & Zhao, Daxian & Wu, Ping & Qin, Chuanjie & Yu, Na & Li, Er- Chao. (2015). Zhang et al. 2011 reprint. Disponible en: https://www.google.com/search?q=Zhang+et+al.%2C+(2011)&rlz=1C5CHFA_enCO1040CO1 041&oq=Zhang+et+al.%2C+(2011)+&gs_lcrp=EgZjaHJvbWUyBggAEEUYOdIBCDIwMGo wajE1qAIAsAIA&sourceid=chrome&ie=UTF-8 Zañartu C., L. M. (2003) Aprendizaje colaborativo: una nueva forma de Diálogo Interpersonal y en Red. Contexto Educativo. Revista Digital de Educación y Nuevas Tecnologías. N 28, año V. Consultado el 10 de abril del 2005, en http://contexto-educativo. com.ar/2003/4/nota-02.htm Zheng, L, Huang, R. (2015). The effects of sentiments and co-regulation on group performance in computer supported collaborative learning. Internet and higher education, Science direct. 28(1), 59-67 Zimmerman, B. J. (1989). A Social Cognitive View of Self-Regulated Academic Learning. Journal of Educational Psychology, 81, (3), 329 -339. Zimmerman, B. J. (1990). Self-regulated learning and academic achievement. An overview. Educational Psychologist, 25(1), 3-17. Zimmerman, B.J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P.R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation: Theory, research, and applications (13-39). San Diego, CA: Academic Press. Zimmerman, B. J. (2001). Theories of self-regulated learning and academic achievement: An overview and analysis. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement (Second ed,1-37). New York: Lawrence Erlbaum Associates Zimmerman, B. J. & Shunk, D. (Editors). (2001). Self-Regulated Learning and academic achievement. Theoretical perspectives. (2nd edition). Mahwah: Lawrence Erlbaum Associates. Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky & A. C. Graesser (Eds.), Hand Zimmerman, B. J, Schunk, D.H. (2011). Hanbook of Self-regulation of learning and performance. New York: Routlege. Zheng, L., & Huang, R. (2016). The effects of sentiments and co-regulation on group performance in computer supported collaborative learning. The Internet and Higher Education, 28, 59–67. doi:10.1016/j.iheduc.2015.10.001 |
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Hederich Martínez, ChristianGranados López, HedilbertoManizales, ColombiaManizales, Colombia - 2017-20232024-01-25T00:39:39Z2024-01-25T00:39:39Z2023http://hdl.handle.net/20.500.12209/19149instname:Universidad Pedagógica Nacionalreponame: Repositorio Institucional UPNrepourl: http://repositorio.pedagogica.edu.co/La tesis que se presenta es coherente con los lineamientos del Programa Interinstitucional de Doctorado en Educación y de manera concreta a los intereses que desde el grupo Estilos Cognitivos se viene desarrollando en torno al estudio de la regulación en situaciones colaborativas de aprendizaje. Con la tesis se buscó proponer un modelo de regulación social a partir del análisis y caracterización de episodios de interacción en grupos de trabajo académico durante la realización de tareas diseñadas bajo protocolos de colaboración. Tanto el modelo como el análisis se realizó considerando las categorías de regulación de la tarea, regulación de la comunicación, construcción compartida de conocimiento presente en el desarrollo de actividades colaborativas y el monitoreo de grupo. En cuanto al modelo, éste parte de considerar el ejercicio grupal de resolución de tareas colaborativas cómo la interacción entre individuos en los cuales se regulan aspectos cognitivos y metacognitivos asociados con procesos colaborativos de construcción compartida de conocimiento (Zhang et al., 2011), aspectos de regulación social de la tarea (Winne y Hadwin, 1998), aspectos de regulación social de la comunicación (Janssen et al., 2012) y aspectos de monitoreo que el grupo genera durante el proceso de resolución de tareas colaborativas (Grau y Whitebread, 2012; Järvenoja et al., 2012; Rogat y Linnenbrink, 2011). En el aspecto estructural el modelo se encuentra conformado por cuatro fases desde las cuales se considera el abordaje de los episodios de interacción relacionados con la regulación social y de la colaboración. La primera fase se encuentra comprendida por la iniciación, las preguntas al grupo, los juicios sobre la tarea y la comprensión de la tarea. La segunda fase la conforman la exploración, la adaptación de la percepción de la tarea, el intercambio de información y la organización de la información. La tercera fase incluye negociación, negociación de objetivos y planificación de metas, la cuarta fase la constituye la generación, la adaptación de metas, la ejecución de metas y la reflexión sobre la tarea. El modelo, en su aplicación práctica, permite analizar y caracterizar los episodios de interacción que se dan entre los integrantes de un grupo de trabajo a partir de fases y episodios recurrentes en aspectos asociados con la colaboración, la regulación de la comunicación y la regulación de la tarea. La disposición de los diferentes episodios de interacción que conforman los componentes se encuentra ordenados de manera jerárquica de arriba hacia abajo e interrelacionados entre sí para dar cuenta de las fases que conforman el modelo sobre regulación social. Cabe recordar que el episodio de interacción como unidad básica del mensaje permite analizar y clasificar los mensajes colectivos que suceden en un determinado grupo de trabajo. Así mismo, estos episodios permiten identificar la ubicación en una determinada fase de acuerdo al componente al que corresponda dicho episodio. De acuerdo con Liskala et al., (2011), los episodios de interacción se consideran como la unidad básica de análisis conformada por una secuencia de contribuciones verbales que se dan entre los diferentes miembros de un grupo de trabajo durante el desarrollo de tareas colaborativas y cuya duración está delimitada por el marco en el que se sucede el inicio y finalización de un mensaje o contribución, o cuando cesan las contribuciones sobre la temática que generó la secuencia de mensajes.Submitted by Hedilberto Granados López (hgranadosl@upn.edu.co) on 2024-01-24T15:18:10Z No. of bitstreams: 1 Tesis doctoral-Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas..pdf: 4940628 bytes, checksum: 1366b8b64a9dc35082453fb4d8a5ac0c (MD5)Rejected by Biblioteca UPN (repositoriobiblioteca@pedagogica.edu.co), reason: 1. Eliminar la licencia de la primera hoja que aparece antes de la portada de su trabajo 2. Debe ingresar la licencia de uso aparte del documento como archivo anexo en pdf on 2024-01-24T19:02:05Z (GMT)Submitted by Hedilberto Granados López (hgranadosl@upn.edu.co) on 2024-01-24T19:53:19Z No. of bitstreams: 2 Tesis doctoral-Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas..pdf: 4905614 bytes, checksum: 0b761d4d7d2b89d790aba2c3560381fc (MD5) Licencia de Uso.pdf: 86525 bytes, checksum: 12a56c1b5ea38bd8c504bb6d4ca6df2c (MD5)Approved for entry into archive by Biblioteca UPN (repositoriobiblioteca@pedagogica.edu.co) on 2024-01-25T00:38:35Z (GMT) No. of bitstreams: 2 Tesis doctoral-Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas..pdf: 4905614 bytes, checksum: 0b761d4d7d2b89d790aba2c3560381fc (MD5) Licencia de Uso.pdf: 86525 bytes, checksum: 12a56c1b5ea38bd8c504bb6d4ca6df2c (MD5)Approved for entry into archive by Elsy Carolina Martínez (ecmartinezb@pedagogica.edu.co) on 2024-01-25T00:39:39Z (GMT) No. of bitstreams: 2 Tesis doctoral-Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas..pdf: 4905614 bytes, checksum: 0b761d4d7d2b89d790aba2c3560381fc (MD5) Licencia de Uso.pdf: 86525 bytes, checksum: 12a56c1b5ea38bd8c504bb6d4ca6df2c (MD5)Made available in DSpace on 2024-01-25T00:39:39Z (GMT). No. of bitstreams: 2 Tesis doctoral-Modelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas..pdf: 4905614 bytes, checksum: 0b761d4d7d2b89d790aba2c3560381fc (MD5) Licencia de Uso.pdf: 86525 bytes, checksum: 12a56c1b5ea38bd8c504bb6d4ca6df2c (MD5) Previous issue date: 2024-01-24Universidad Católica de ManizalesDoctor en EducaciónDoctoradoThe thesis presented is consistent with the guidelines of the Interinstitutional Program of Doctorate in Education and specifically to the interests that the Estilos group Cognitive has been developing around the study of regulation in collaborative situations Learning. The thesis sought to propose a model of social regulation based on the analysis and characterization of interaction episodes in academic work groups during the performance of tasks designed under collaboration protocols. Both the model and the analysis were carried out considering the categories of task regulation, communication regulation, construction sharing of knowledge present in the development of collaborative activities and monitoring of group. As for the model, this starts from considering the group task resolution exercise collaborative how the interaction between individuals in which cognitive aspects and metacognitive aspects associated with collaborative processes of shared knowledge construction (Zhang et al., 2011), social regulation aspects of the task (Winne and Hadwin, 1998), aspects of social regulation of communication (Janssen et al., 2012) and monitoring aspects that the group generated during the process of solving collaborative tasks (Grau and Whitebread, 2012; Järvenoja et al., 2012; Rogat and Linnenbrink, 2011). In the structural aspect, the model is made up of four phases from the which is considered the approach to interaction episodes related to social regulation and collaboration. The first phase is comprised of the initiation, the questions to the group, judgments about the task, and understanding of the task. The second phase is made up of exploration, adaptation of task perception, information exchange, and organization of information. The third phase includes negotiation, negotiation of objectives and planning goals, the fourth phase is the generation, adaptation of goals, execution of goals and reflection on the task. The model, in its practical application, allows analyzing and characterizing the episodes of interaction that occurs between the members of a work group based on phases and episodes recurring in aspects associated with collaboration, regulation of communication and task regulation. The arrangement of the different episodes of interaction that make up the components are arranged hierarchically from top to bottom and interrelated with each other to account for the phases that make up the social regulation model. Fits remember that the interaction episode as the basic unit of the message allows us to analyze and classify the collective messages that happen in a certain work group. In addition, These episodes allow us to identify the location in a certain phase according to the component to which said episode corresponds. According to Liskala et al., (2011), episodes of interaction are considered as the basic unit of analysis made up of a sequence of verbal contributions that occur between the different members of a work group during the development of collaborative tasks and whose duration is delimited by the framework in which they occur the beginning and ending of a message or contribution, or when contributions on the theme that generated the sequence of messages.PDFapplication/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 InternationalRegulación de la comunicaciónRegulación de la tareaConstrucción compartida de conocimientoProcesos colaborativosTask regulationRegulation of communicationShared construction of knowledgeCollaborative processesAprendizaje colaborativo - TeoríasEstilos cognitivosModelo para el análisis y caracterización de la regulación social durante el desarrollo de tareas colaborativas.Model for the analysis and characterization of social regulation during the development of collaborative tasks.info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionMonografía - Doctoradohttp://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionAnderson, A. H., O'Malley, C., Doherty-Sneddon, G., Langton, S., Newlands, A., Mullin, J., Fleming, A. M., & Van der Velden, J. (1997). The impact of VMC on collaborative problem solving: An analysis of task performance, communicative process, and user satisfaction. In K. E. Finn, A. J. Sellen, & S. B. Wilbur (Eds.), Video-mediated communication (pp. 133–155). Lawrence Erlbaum Associates Publishers.Bandura, A. & Cervone, D. (1986). Differential engagement of self-reactive influences in cognitive motivation. Organizational Behavior and Human Decision Processes, (38), 92-113.Bandura, A. (1997). Self-Efficay: The Exercise of control. New York: freeman.Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual review of psychology (Vol. 52, pp. 1-26). Palo Alto: Annual Reviews, Inc.Bandura, A. (2009). Self-efficacy in changing societies. Cambrige, University, Press.Baker, M. J. (2009). Intersubjective and intrasubjective rationalities in pedagogical debates: Realizing what one thinks. In B. Schwarz, T. Dreyfus & R. Hershkowitz (Eds.), Transformation of Knowledge Through Classroom Interaction, pp. 145-158. London: Routledge.Baker, M. J., Bernard, F.-X. & Dumez-Féroc, I. (2012). Integrating computer-supported collaborative learning into the classroom: the anatomy of a failure. Journal of Computer Assisted Learning, 28, 161-176.Baker, Michael. (2015). Collaboration in collaborative learning. Interaction Studies. 16. 451-473. 10.1075/is.16.3.05bak. https://www.researchgate.net/publication/288886296_Collaboration_in_collaborative_learningBarkley, EF, Cross, KP & Howell Mayor, C. (2005). Técnicas de aprendizaje colaborativo: Un manual para los profesores de la universidad. España: Morata. Recuperado de: http://eva.sepyc. • Rúbricas. • Fichas de autoevaluación y/o coevaluación. • Guías de observación. gob.mx:8383/greenstone3/sites/localsite/ collect/superior/index/assoc/HASH019f/ ab416422.dir/05120010029.pdf.Bakhtiar, A. (2015). Challenges in collaborative learning: Where do we go from here? Unpublished manuscript.Barros, B y Verdejo, M. F. (2001). Entornos para la realización de actividades de aprendizaje colaborativo a distancia Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial, vol. 5, núm. 12, primavera, pp. 39-49. https://www.redalyc.org/articulo.oa?id=92551205Barca, A., Peralbo, M. y Brenlla, J. (2004). Atribuciones causales y enfoques de aprendizaje: la escala SIACEPA. Psicothema, 16(1), 94-103.Biggs, J. (1987). Learning Process Questionnaire (LPQ). Manual. Hawthorn: Australian Council for Educational Research.Biggs, J. (1989). Approaches to the enhancement of tertiary teaching. Higher Education Research and Development, (8), 68- 80.Biggs, J. (1993). What do inventories of students learning processes really measure? A theoretical review and clarification. British Journal of Educational Psychology, (63), 3-19.Biggs, J. (1999). Teaching for quality learning at University. Buckingham: Open University Press.Biggs, J. (2001). Teaching for Quality Learning at University. Buckingham: Open University Press.Biggs, J. (2003). Teaching for Quality Learnig at University. Berkshire: The Society for Research into Higher Education & Open University Press.Biggs, J., Kember, D. & Leung, D. (2001). The revised two-factor Study Process Questionnaire: R- SPQ-2F. British Journal of Educational Psychology, (71), 133-149.Boekaerts, M. (1996). Self-regulated learnbing at the junction os cognition and motivation. European Psychologist, Vol 1 (2), pp. 100-112.Boekaerts, M. (1999). Motivated learning: Studying student situation transactional units. European Journal of Psychology of Education, 14(1), 41-55. doi: 10.1007/bf03173110Boekaerts, M., & Niemivirta, M. (2000). Self-regulated learning: Finding a balance between learning goals and ego-protective goals. In M. Boekaerts, P. R. Pintrich & M. Zeidner (Eds.), Handbook of self-regulation (pp. 417-451). San Diego, CA: Academic Press.Boekaerts, M, Pintrich, P. R, Zeidner, M. (2000). Handbook of self-regulation. San Diego: Academic Press.Boekaerts, M, y Corno, L (2005). Self-regulated in the classroom: A perspective on assessment and intervention. Applied psychology: an international review, vol 54. Numer 2. Pp. 199-231.Borge, M., Toprani, D., Yan, S., & Xia, Y. (2020). Embedded design: engaging students as active participants in the learning of human-centered design practices. Computer Science Education, 30(1), 47-71.Borge, M., & White, B. (2016). Toward the development of socio-metacognitive expertise: An approach to developing collaborative competence. Cognition and Instruction, 34(4), 323-360.Brown, D. (2000). Principles of language learning and teaching. New York: Pearson.Brown, A. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In F. E. Weinert & R. H. Kluwe, (Eds.) Metacognition, motivation, and understanding (pp. 65-116). Hillsdale, NJ: Lawrence Erlbaum.Bruffee, K. A. (1993). Collaborative Learning: Higher education, interdependence, and the authority of knowledge. Baltimore, MD: Johns Hopkins University Press.Bruffee, K. A y Kenneth, A. (1999). Collaborative Learning: Higher education, interdependence, and the authority of knowledge. Baltimore, MD: Johns Hopkins University Press. Second Edition.Blumenfeld, C. P, Ronald, W. M, Soloway, E y Krajcik, J. 1996. Leaning with peers: from small group cooperation to collaborative communities. Educational researcher. Vol 25, No 8, pp 37-40. https://doi.org/10.3102/0013189X025008037Castellanos, R. J. C, Onrubia. J. (2015). La regulación compartida en entornos de aprendizaje colaborativo: Una revisión del estado de la investigación empírica. EKS, Vol 16, N°3.Castellanos, J. C, Onrubia, J. (2016). Shared regulation in collaborative learning environments mediated by computer: differences between high and low performance groups. AIESAD-RIED, VOL 19, N° 1, pp. 233-251.Castellanos Ramírez, J. C., & Niño Carrasco, S. A. (2019). Procesos de regulación social y desarrollo del conocimiento en espacios de colaboración en línea. Revista De Investigación En Tecnologías De La Información, 7(14), 180–189. https://doi.org/10.36825/RITI.07.14.015Cabrera, E. P. (2008). La colaboracion en el aula: más que uno más uno." Revista Latinoamericana de Psicología, vol. 41, no. 3, summer 2009, pp. 610+. Gale Academic OneFile, link.gale.com/apps/doc/A215716047/AONE?u=anon~7dfcd7d8&sid=googleScholar& xid=0a32dd8e. Accessed 28 May 2023.Cole, M. (1990). Cognitive development and formal schooling: the evidence from sociocultural research. En: L. Moll (ed.). Vygotski and Education. Cambridge: Cambridge University Press.Colomina, R y Remesal, A. (2015). Social presence and virtual collaborative learning processes in higher education / Presencia social y procesos de aprendizaje colaborativo virtual en educación superior. Infancia y Aprendizaje. 38. 1-34. 10.1080/02103702.2015.1054664.Coll, C, Rochera, M y Colomina, R. (2010). Usos situados de las TIC y mediación de la actividad conjunta en una secuencia instruccional de educación primaria. Electronic Journal of Research in Educational Psychology. 8. 517-540. 10.25115/ejrep.v8i21.1384.Corno, L. (1993). The best-laid plans: Modern conceptions and educational research. Educational Research, 22(2), 14-22.Corno, L. (2001). Volitional aspects of self-regulated learning. In Zimmerman, B. & Schunk, D. (Eds.). Self-regulated learning and academic achievement: Theoretical perspectives (pp. 191-225). New Jersey: Lawrence Erlbaum.Corno, L. (2008). Work habits and self-regulated learning: Helping students to find a ‘will’ from a ‘way’. In Zimmerman, B. & Schunk, D. (Eds.). Motivation and self-regulated learning: Theory, research, and applications (pp. 197–222). Mahwah, NJ: Erlbaum.Chan, C. K.K. (2012). Co-regulation of learning in computer-supported collaborative learning enviroments: a discussion. Metacognition and learning. Vol 7. Pp 63-73.Cho, M. H y Kim, J. 2013. Students`self-regulation for interaction with others in online learning enviroments. The internet and higher education, Vol 17, pp. 69-75Deci, L. (1972). Intrinsic motivation, extrinsic reinforcement and inequity. Journal of Personality and social Psychology, 22(1),113-120.Denzin, N. K., y Lincoln, Y. S. (1998). The landscape of qualitative research. New Delhi: Sage Publications.Di Donato, N. C. (2013). Effective self- and co-regulation in collaborative learning groups: An analysis of how students regulate problem solving of authentic interdisciplinary tasks. Instructional Science, 41, 25-47. doi: 10.1007/s11251-012-9206- 9Dillenbourg, P., M. Baker, A. Blaye & C. O’Malley (1996). “The evolution of research on collaborative learning”. En: E. Spada & P. Reiman (eds.). Learning in Humans and Machine: Towards an Interdisciplinary Learning Science. Oxford: Elsevier.Dillenboug, P. (1999). “What do you mean by ‘collaborative learning’?”. En: P. Dillenbourg (ed.). Collaborative Learning: Cognitive and Computational Approaches. Amsterdam: Pergamon PressDongho Kim & Cheolil Lim (2018) Promoting socially shared metacognitive regulation in collaborative project-based learning: a framework for the design of structured guidance, Teaching in Higher Education, 23:2, 194-211, DOI: 10.1080/13562517.2017.1379484Dunkin, M. & Biddle, B. (1974). The study of teaching. Oxford: Holt, Rinehart & Winston.Durfee, H. E, Lesser, R. V y Daniel D Corkill, D. D. (1988). Coherent cooperation among com municating problem solvers. IEEE Transactions on Computers, C-36 (11): 1275-1291 ( Also published in Readings in Distributed Articial Intel ligenceAlan H Bond and Les Gasser editors pages 268-284, Morgan Kaufmann1988).Eccles, JS (2005). Valor de la tarea subjetiva y la Eccles et al. Modelo de opciones relacionadas con el rendimiento. En AJ Elliot y CS Dweck (Eds.), Manual de competencia y la motivación (pp. 105-121). Nueva York: Guilford.Elliot, J. A, Dweck, S. C. (2005). Handbook of competence and motivation. The Guilford Press, New York and London. Library of Congress Cataloging in Publication Data.Elliot, A. J, y Flavell, J. H. (1979). Metacognition and cognitive monitoring: New area of cognitve- developmental inquirí: American Psychologist, Vol 34, N° 10. P. 906-911.Elliot, A. J., & Covington, M. V. (2001). Approach and Avoidance Motivation. Educational Psychology Review, 13, 73-92. https://doi.org/10.1023/A:1009009018235ickson, F. (1986). Qualitative methods in research ofteaehing. En Mwittrock (ed), Handbook of research writing. Computers in human behavior, Vol 21. Pp. 463-486. Doi: 10.1016/j.chb.204.10.038.Erikson, E. (1968). Identidad. La juventud y la crisis. Nueva York: Norton. Revista de Investigaciones No 31 113Entwistle, N. & Waterston, S. (1988). Approaches to study and levels of processing in university students. British Journal of Educational Psychology, (58), 258-265.Fernández, J. (2004). Concepción de aprendizaje, metacognición y cambio conceptual en estudiantes universitarios de psicología. (Tesis doctoral). Departamento de Psicología Básica. Universidad de Barcelona, España.Fernández, J. (2007). Concepción de aprendizaje y estrategias metacognitivas en estudiantes universitarios de psicología. Anales de Psicología, 23(1), 7-16.Fernández, M. (2008). El aprendizaje basado en problemas en el marco del Espacio Europeo de Educación Superior desde la percepción del estudiante: estudios cualitativos y selectivos. (Tesis doctoral). Universidad de León, España.Flavell, J. (1987). Speculation about the nature and development of metacognition. In: Wernert, F. and Kluwe, R. (Eds.). Metacognition, Motivation and Understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.Friedrich, H. & Mandl, H. (1992). Lern und denkstrategien. Ein problemaufriß. In Friedrich, H. & Mandl, H. (Hrsg.). Lern und Denkstrategien (s. 3-54). Göttingen: HogrefeFlavell, J. (1979). Metacognition and Cognitive Monitoring. A New Area of cognitive Developmental Inquiry, en American Psychologist. (pp. 705-712).Friedrich, H. F, Fischer, P. M, Krämer, D y Mandl, H. (1985). Develomenpt and evaluation of a program facilitating comprehension of text. In: d`Ydevalle, G. (Ed.): Cognition, information processing and motivation. North Holland, Amsterddam. Pp. 375-390.Garrison, D.R, Akyol, Z. (2015). Toward the develoment of a metacognition construct for communities of inquirí. Internet and higher education. Vol 24. Pp. 66-71.Grau, V., & Whitebread, D. (2012). Self and social regulation of learning during collaborative activities in the classroom: The interplay of individual and group cognition. Learning and Instruction, 22(6), 401-412. doi: 10.1016/j.learninstruc.2012.03.003Greeno, J. G. (2006). Learning in activity. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 79-96). New York: Cambridge University Press.Gourgey, A.F. (2001). Metacognition in basic skills instrution. In H.J. Hartman (ed.), metacognition in learning and instruction. Netherlands: klumer academic publishers. Pp. 17-32.González, C. G y Díaz, M. L. (2005). Aprendizaje colaborativo: una experiencia desde las aulas universitarias Educación y Educadores, vol. 8, pp. 21-44 Universidad de La Sabana Cundinamarca, Colombia. https://www.redalyc.org/articulo.oa?id=83400804Guilford. Erikson, E. (1968). Identidad: La juventud y la crisis. Nueva York: Norton. Oro, M. (Ed.). (1999). El científico social completa: Un lector de Kurt Lewin.Gruber, R. E., Steffen, J. J., & Vonderhaar, S. P. (1995). Lucid dreaming, waking personality and cognitive development. Dreaming, 5(1), 1–12. https://doi.org/10.1037/h0094419Hadwin, A. F, Oshide, M (2011). Self-regulation, Coregulations, and socially shared regulation: Exploring perspectives of social in self-regulated learning theory. Teachers College Record. 113(2), 240-264.Hadwin, A.F, Järvelä, S. y Miller, M. (2011). Self-regulated, co-regulated, and socially shared regulation of learning. En B. J. Zimmerman y D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 65-84). New York: Routledge.Hadwin, A.F, Järvelä, S. y Miller, M. (2017). Self-regulation, co-regulation and shared regulation in collaborative learning environments. In D. Schunk, & J. Greene, (Eds.). Handbook of Self- Regulation of Learning and Performance (2nd Ed.). New York, NY: Routledge. (8) (PDF) Self- regulation, co-regulation and shared regulation in collaborative learning environments.Hurme, T. R, Merenluoto, K., & Järvelä, S. (2009). Socially shared metacognition of pre-service primary teachers in a computer-supported mathematics course and their feelings of task difficulty: A case study. Educational Research and Evaluation. 15(5), 503-524. doi: 10.1080/13803610903444659.Hurme, T.R, Palonen, T, Järvelä, S (2006). Metacognition in joint discussions: an analysis of the patterns of interaction and the metacognitve content of the net worked discussion in mathematics. Metacognition and learning. 1(1), 181-200.Izquierdo, A. M. y Iborra, C. A. (2010). ¿Cómo afrontar la evaluación del aprendizaje colaborativo? Una propuesta valorando el proceso, el contenido y el producto de la actividad grupal. Revista General de Información y Documentación, 20, 221-241. https://revistas.ucm.es/index.php/RGID/article/view/RGID1010110221AIsohätälä, J, Järvenoja, H, Järvelä, S. (2017). Socially shared regulation of learning and participation in social interaction in collaborative learning. International journal of educational research. 81(2), 11-24.Järvelä, S, & Järvenoja, H. (2011). Socially constructed self-regulated learning and motivation regulation in collaborative learning groups. Teachers College Record. 113(2), 350-374.Järvelä, S, Volet, S & Järvenoja, H. (2010). Research on motivation in collaborative learning: moving beyong the cognitive-situative divide and combining indivual and social processes. Educational Psychologist. 45(1), 15-27.Järvelä, S, Hadwin, A. H. (2013). New frontiers: regulating learning in CSCL. Educational Psychologist, Vol 48, pp. 25-39Järvenoja, H, Volet, S y Järvelä, S. (2012). Regulation of emotions in socially challenging learning situations: an instrument to measure the adaptative and social nature of the regulations process.Järvelä, S (2015) How research on self-regulated learning can advance computer supported collaborative learning / El papel de la investigación sobre aprendizaje autorregulado en el desarrollo del aprendizaje colaborativo asistido por ordenador, Infancia y Aprendizaje: Journal for the Study of Education and Development, 38:2, 279-294, DOI: 10.1080/02103702.2015.1016747Janssen, J., Erkens, G., Kirschner, P. a., & Kanselaar, G. (2012). Task-related and social regulation during online collaborative learning. Metacognition and Learning, 7(1), 25–43. doi:10.1007/s11409-010-9061-5Kreijns, K, K., Kirschner, P. A., & Vermeulen, M. (2013). Social aspects of CSCL enviroments: A research framework. Educational Psychologist, 48(4), 229–242. https://doi.org/10.1080/00461520.2012.750225.Koivuniemi, M., Järvenoja, H., & Järvelä, S. (2018). Teacher education`strategic activities in challeng- ing collaborative learning situations. Learning, Culture and Social Interaction, 19(December), 109–123. https://doi.org/10.1016/j.lcsi.2018.05.002.Kirschner, P. A., & Erkens, G. (2013). Toward a framework for CSCL research. Educational Psychologist, 48(1), 1-8. doi: 10.1080/00461520.2012.750227 (8) (PDF) Enhancing socially shared regulation in collaborative learning groups: Designing for CSCL regulation tools. Available from: https://www.researchgate.net/publication/266852953_Enhancing_socially_shared_regulat ion_in_collaborative_learning_groups_Designing_for_CSCL_regulation_tools[accessed May 09 2020].Khosa, D. K., & Volet, S. E. (2014). Productive group engagement in cognitive activity and metacognitive regulation during collaborative learning: can it explain differences in students’ conceptual understanding? Metacognition and Learning, pp. 287–307. doi:10.1007/s11409- 014-9117-zLewis, K. (2003). Measuring transactive memory systems in the field: Scale development and validation. Journal of applied psychology. 88(4), 587–604. https://doi.org/10.1037/0021- 9010.88.4.587.Liskala, T, Vauras, M, Lehtinen, E, Salonen, P. (2011). Socially shared metacognition of dyads of pupils in collaborative mathematical problema-solving processes. Learning and instruction. 21(3), 379-393.Martínez-Fernández, J.R, Corcelles, M, Cerrato, L. M. (2011). The conceptions about teamwork questionnaire: desing, reliability and validity with secondary students. Educational Psychology. 31, N° 7. Pp. 857-871.Malmberg, J., Järvelä, S., Järvenoja, H. & Panadero, E. (2015). Socially shared regulation of learning in CSCL: Patterns of socially shared regulation of learning between high – and low performing student groups. Computers in Human Behavior, 52, 562-572. DOI: 10.1016/j.chb.2015.03.082Malmberg, J., Järvelä, S. & Järvenoja, H. (2016). Capturing temporal and sequential patterns of self-, co- and socially shared regulation in the context of collaborative learning. Submitted.Maldonado, P. M. (2007). El trabajo colaborativo en el aula universitaria Laurus, vol. 13, núm. 23, pp. 263-278 Universidad Pedagógica Experimental Libertador Caracas, Venezuela.Matthews, E. (1996). Two teaching strategies for managing learning in small groups. Unpublished master of education thesis. The University of Melbourne, Australia.Monereo, C, Pozo, J. I, Castelló M. (2000). La enseñanza de estrategias de aprendizaje en el contexto escolar. Capítulo de libro en Psicología de la educación escolar, capítulo 9, publicado en Alianza Editorial, Editores Cesar Coll, Jesús Palacios y älvaro Marchesi.Moreno-Caro, J., López-Vargas, O. y SanabriaRodríguez, L. (2021). Regulación interpersonal en el trabajo colaborativo: efectos en la comprensión lectora y la autorregulación de estudiantes con diferentes estilos cognitivos. Folios, (54). https://doi.org/10.17227/folios.54-11403.Morgan, D. L. (1998). The focus group guidebook. Thousand Oaks, CA, EE. UU.: Sage.Morgan, D.L, Krueger, R.A (1998). Developing questions for focus groups. International educational and profesional Publisher. SAGE.McCaslin, M. y Murdock, T.B. (1991). The emergent interaction of home and school in the development of students’ adaptive learning. En M. L. Maehr y P. R. Pintrich (Eds.), Advances in motivation and achievement. Greenwich, CT: JAI Press.McCaslin, M., & Hickey, D. T. (2001). Educational psychology, social constructivism, and educational practice: A case of emergent identity. Educational Psychologist, 36(2), 133-140.McCaslin, M. (2009). Co-regulation of student motivation and emergent identity. Educational Psychologist, 44(2), 137-146.Myers, D. G. (2005). Psicología. Madrid: Interamericana (7a edición).Necka, E & Orzechowski, J. 2005. Higher order cognition and intelligence. In R.J. Sternberg & J.E Prezts (Eds). Cognition and intelligence: identifying mechanisms of the mind. Cambrige University press. Panadero, E, Järvelä, S. 2015. Socially share regulation of learning: a review. European Psychologist: Doi: 10.1027/1016-9040/a000226.Panadero, E., & Alonso-Tapia, J. (2013). Autoevaluación: connotaciones teóricas y prácticas. Cuando ocurre, cómo se adquiere y qué hacer para potenciarla en nuestro alumnado. Electronic Journal of Research in Educational Psychology, 11(2), 551-576. doi: http://dx.doi.org/10.14204/ejrep.30.12200anadero, E, Kirschner, P, Järvelä, S, Järvenoja, H. (2015). How individual self-regulation afects group regulation and performance: A shared regulation intervention. Small Group Research.Panadero, E, Järvelä, S. (2015). Socially shared regulation of learning: A review. European psychologist.Palinscar, A.s y Brown, A. (1984). Reciprocal teaching of comprehension-fostering and comprehension monitoring activities. Cognition and instruction. Vol 1. Pp. 117-175.Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational Psychologist, 36(2), 89-101.Perea, J. Kay, I. Koprinska, K. Yacef, and O.R. Zaiane. (2009). Clustering and Sequential Pattern Mining of Online Collaborative Learning Data. IEEE Transac- tions on Knowledge and Data Engineering, Vol. 21(6), pp. 759-772.Perry, D. B. (2002). Childhood experience and the expression of genetic potential: what childhood neglect tells us about nature and nature. Brain and mind. Vol 3(1), pp. 79-100.Pintrich, P. R. (2000). Multiple goals, multiple pathways: the role of goal orientation on learning and achievement. Journal of educational psychology. Vol 92(3), pp. 544-555.Pintrich, P. R, Zusho, A. (2002). The develoment of academic self-regulation: the role of cognitive and motivational factor (249-284) San Diego, CA: Academic Press.Pintrich, P. (2004). “A Conceptual Framework for Assessing Motivation and SelfRegulated Learning in College Students”. [Versión electrónica] Educational Psychology Review, 16 (4): 385-407Puustinen, M., & Pulkkinen, L. (2001). Models of self-regulated learning: A review. Scandinavian Journal of Educational Research, 45(3), 269-286. doi: 10.1080/00313830120074206Pozo, J. I, Monereo, C. (2001). El aprendizaje estratégico. Docencia universitaria, Vol 2, N° 2.Rogat, T., & Linnenbrink-Garcia, L. (2011). Socially shared regulation in collaborative groups: An analysis of the interplay between quality of social regulation and group processes. Cognition and Instruction, 29(4), 375–415. https://doi.org/10.1080/07370008.2011.607930Rogat, T. K., & Adams-Wiggins, K. R. (2014). Other-Regulation in Collaborative Groups: Implications for Regulation Quality. Instructional Science: An International Journal of the Learning Sciences, 42, 879-904. doi: 10.1007/s11251-014-9322-9Rogat, T. K., & Adams-Wiggins, K. R. (2015). Interrelation between regulatory and socioemotional processes within collaborative groups characterized by facilitative and directive other- regulation. Computers in Human Behavior, 52, 589-600. doi: 10.1016/j.chb.2015.01.026Roselli, N. D. (2011). Teoría del aprendizaje colaborativo y teoría de la representación social: convergencias y posibles articulaciones. Revista colombiana de ciencias sociales, V, 2, Número 2, pp 173-191. file:///Users/eddiegranados/Downloads/Dialnet- TeoriaDelAprendizajeColaborativoYTeoriaDeLaReprese-5123804.pdfRoselli, N. D. (2016). El aprendizaje colaborativo: Bases teóricas y estrategias aplicables en la enseñanza universitaria; Universidad San Ignacio de Loyola; Propósitos y Representaciones; Volumen 4, Número 1, pp 219-280Rule, P, Mitchell, V.J. (2015). A necessary dialogue: theory in case study research. International journal of qualitative methods. SAGE journals. doi.org/10.1177/1609406915611575.Saad, N. (2012). Team regulation, regulation of social activities or co-regulation: Different labels for effective regulation of learning in CSCL: Metacognition and learning. 7(1), 1-6.Scagnoli, M. N. (2006). El Aprendizaje Colaborativo en Cursos a Distancia Investigación y Ciencia, vol. 14, núm. 36, septiembre-diciembre, pp. 39-47 Universidad Autónoma de Aguascalientes Aguascalientes, MéxicoSlavin, R. E. (1996). Research on Cooperative Learning and Achievement: - What can it tell us about metacognition and coregulation in learning? European Psychologist, 10(3), 199-208. doi: 10.1027/1016-9040.10.3.199.Salonen, P., Vauras, M., & Efklides, A. (2005). Social interaction - What can it tell us about metacognition and coregulation in learning? European Psychologist, 10(3), 199-208. doi: 10.1027/1016-9040.10.3.199.Salovaara, H., & Järvelä, S. (2003). Students’ knowledge building strategies in computer supported collaborative learning. Learning Environments Research, 6, 267-284. doi: 10.1023/A:1027379824485Sobonciski, M, Järvelä, S, Malmberg, J y Muhterem, D. 2021. How does monitoring set the stage for adaptative regulation or maladaptive behavior in collaborative learning. Metacognition and learning. SpringerSalomon, G., & Globerson, T. (1989). When teams do not function the way they ought to. International Journal of Educational Research, 13, 89-99.Schoor, C, Bannert, M (2012). Exploring regulatory process during a computer-sopported collaborative task using process mining. Computers in human behavior, 28, 1321-1331-doi: 10.1016/j.chb.2012.02.016.Stahl, G. (2006). Group cognition: Computer support for building collaborative knowledge. Cambridge, MA: MIT Press. Retrieved from http://www.cis.drexel.edu/faculty/gerry/mit/Stake, R. E, (1995). Investigación con estudio de casos. Ediciones morata S. L, segunda edición, Mejía Lequerica, 12. 280004, Madrid.Stigliano, D. y Gentil, D. (2006). Enseñar y Aprender en grupos cooperativos. Argentina: Novedades Educativas.Törmänen, T., Järvenoja, H. & Mänty, K. (2021). Exploring groups’ affective states during collaborative learning: what triggers activating affect on a group level?. Education Tech Research Dev 69, 2523–2545 https://doi.org/10.1007/s11423-021-10037-0Tudge, J., & Hogan, D. (1997). Collaboration from a Vygotskian Perspective. Biennial Meeting of the Society (págs. 2-12). Washington, DC,: ERIC Document Reproduction.Valdebenito, V. & Duran, D. (2015). Formas de interacción implicadas en la promoción de estrategias de comprensión lectora a través de un programa de tutoría entre iguales. Revista Latinoamericana de Psicología, 47 (2), 75-85. Disponible en: http://www.elsevier.es/es-revista- revista-latinoamericana-psicologia-205-pdf-S0120053415000023Vauras, M, Liskala, T, Kajamies, A, Kinnunenm, R y Lehtinen, E. (2003). Shared regulation and motivation of collaborating peers: A case analysis. Psychologia, 4(1), 19-37.Volet, S., Summers, M., & Thurman, J. (2009). High-level co-regulation in collaborative learning: How does it emerge and how is it sustained? Learning and Instruction, 19(2), 128-143. doi: 10.1016/j.learninstruc.2008.03.001Volet, S., Vauras, M., & Salonen, P. (2009). Self- and social regulation in learning contexts: An integrative perspective. Educational Psychologist, 44(4), 215-226. doi: 10.1080/00461520903213584.Wertsch, J. V. (1985). Vygotsky and the social formation of mind. Cambridge, MA: Harvard University PressWeiner, B. (1979). A theory of motivation for some classroom experience. Journal of educational psychology. Disponible en: file:///C:/Users/User/Downloads/1976-ATheory of MotivationforSomeClassrommExperiences.pdfWebb, N. (1991). Task-Related Verbal Interaction and Mathematics Learning in Small Groups. Journal for Research in Mathematics Education. 22. 366-. 10.2307/749186.Yin, R.K. (1989). Case study research: desing and methods, applied social research methods series, Newbury Park CA: sage.Yowell, C, Y Smylie, M. (1999). La autorregulación en las comunidades democráticas. Escuela Primaria Journal, 99(1), 469-490. Zinchenko, VP (1985). Las ideas de Vygotsky. En J. Wertsch (Ed.), La cultura, la comunicación y la cognición: perspectivas vygotskianos (94-118). New York: Cambridge University Press.Winne, P. H. (1996). A metacognitive view of individual differences in selfregulated learning. Learning and Individual Differences, 8(4), 327-353. doi: http://dx.doi.org/10.1016/S1041- 6080(96)90022-9Winne, P. H. (1997). Experimenting to bootstrap self-regulated learning. Journal of Educational Psychology, 89(3), 397-410. doi: 10.1037/00220663.89.3.397Winne, P. y Hadwin, A. (1998). Studying as selfRegulated learning. En D. Hacker, J. Dunlosky y A. Graesser (Eds.), Metacognition into Theory and Practice (pp. 277-304). New Jersey: Lawrence Erlbaum Associates.Winne, P., Hadwin, A. F., & Perry, N. E. (2013). Metacognition and computer-supported collaborative learning. In C. E. Hmelo-Silver, A. O'Donnell, C. Chan & C. Chinn (Eds.) International handbook of collaborative learning. New York: Taylor & FrancisWhitebread, D., & Pino-Pasternak, D. (2013). Video analysis of self-regulated learning in social and naturalistic contexts: The case of preschool and primary school children. In S. Volet and M. Vauras (Eds.), Interpersonal Regulation of Learning and Motivation: Methodological Advances (pp. 14-44). London: Routledge.Zhang, Y.X., S. Sun, S.C. Olsen, M.K. Dubey, and J.H. He, 2011: CCSM3 simulated regional effects of anthropogenic aerosols for two contrasting scenarios: Rising Asian emissions and global reduction of aerosols. Int. J. Climatol., 31, 95-114, doi:10.1002/joc.2060.Zhang, Hao & Chen, L. & Qin, Jian & Zhao, Daxian & Wu, Ping & Qin, Chuanjie & Yu, Na & Li, Er- Chao. (2015). Zhang et al. 2011 reprint. Disponible en: https://www.google.com/search?q=Zhang+et+al.%2C+(2011)&rlz=1C5CHFA_enCO1040CO1 041&oq=Zhang+et+al.%2C+(2011)+&gs_lcrp=EgZjaHJvbWUyBggAEEUYOdIBCDIwMGo wajE1qAIAsAIA&sourceid=chrome&ie=UTF-8Zañartu C., L. M. (2003) Aprendizaje colaborativo: una nueva forma de Diálogo Interpersonal y en Red. Contexto Educativo. Revista Digital de Educación y Nuevas Tecnologías. N 28, año V. Consultado el 10 de abril del 2005, en http://contexto-educativo. com.ar/2003/4/nota-02.htmZheng, L, Huang, R. (2015). The effects of sentiments and co-regulation on group performance in computer supported collaborative learning. Internet and higher education, Science direct. 28(1), 59-67Zimmerman, B. J. (1989). A Social Cognitive View of Self-Regulated Academic Learning. Journal of Educational Psychology, 81, (3), 329 -339.Zimmerman, B. J. (1990). Self-regulated learning and academic achievement. An overview. Educational Psychologist, 25(1), 3-17.Zimmerman, B.J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P.R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation: Theory, research, and applications (13-39). San Diego, CA: Academic Press.Zimmerman, B. J. (2001). Theories of self-regulated learning and academic achievement: An overview and analysis. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement (Second ed,1-37). New York: Lawrence Erlbaum AssociatesZimmerman, B. J. & Shunk, D. (Editors). (2001). Self-Regulated Learning and academic achievement. Theoretical perspectives. (2nd edition). Mahwah: Lawrence Erlbaum Associates.Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky & A. C. Graesser (Eds.), HandZimmerman, B. J, Schunk, D.H. (2011). Hanbook of Self-regulation of learning and performance. New York: Routlege.Zheng, L., & Huang, R. (2016). The effects of sentiments and co-regulation on group performance in computer supported collaborative learning. 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