ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System
This paper presents an adaptive model called ALPY PLUS to enrich the dynamic planning of learning resources with user characteristics and those of her/his context, in order to provide a personalized course in a virtual environment. We describe the proposed architecture, the visual prototype, togethe...
- Autores:
-
Henriquez-Nunez, Yuranis
Parra, Carlos
Carrillo-Ramos, Angela
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12170
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12170
- Palabra clave:
- Computer-Aided Instruction;
Adaptive Hypermedia;
Intelligent Tutoring Systems
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System |
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ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System |
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ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System Computer-Aided Instruction; Adaptive Hypermedia; Intelligent Tutoring Systems LEMB |
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ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System |
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ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System |
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ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System |
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ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System |
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ALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning System |
| dc.creator.fl_str_mv |
Henriquez-Nunez, Yuranis Parra, Carlos Carrillo-Ramos, Angela |
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Henriquez-Nunez, Yuranis Parra, Carlos Carrillo-Ramos, Angela |
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Computer-Aided Instruction; Adaptive Hypermedia; Intelligent Tutoring Systems |
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Computer-Aided Instruction; Adaptive Hypermedia; Intelligent Tutoring Systems LEMB |
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LEMB |
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This paper presents an adaptive model called ALPY PLUS to enrich the dynamic planning of learning resources with user characteristics and those of her/his context, in order to provide a personalized course in a virtual environment. We describe the proposed architecture, the visual prototype, together with the main components, actions and services required by the adaptive model. © 2022, Springer Nature Switzerland AG. |
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2022 |
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2022 |
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2023-07-19T21:11:27Z |
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2023-07-19T21:11:27Z |
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2023 |
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Henriquez-Nunez, Y., Parra, C., & Carrillo-Ramos, A. (2022). ALPY PLUS - adaptive model oriented to pathway planning in virtual learning system. En Communications in Computer and Information Science (pp. 83–100). Springer International Publishing. |
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https://hdl.handle.net/20.500.12585/12170 |
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10.1007/978-3-031-19951-6_6 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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Henriquez-Nunez, Y., Parra, C., & Carrillo-Ramos, A. (2022). ALPY PLUS - adaptive model oriented to pathway planning in virtual learning system. En Communications in Computer and Information Science (pp. 83–100). Springer International Publishing. 10.1007/978-3-031-19951-6_6 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12170 |
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eng |
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eng |
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17 páginas |
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Henriquez-Nunez, Yuranis6ae1ae3e-7dfd-41df-bad3-4e1f2ef9ef52Parra, Carlosf8aede6c-b443-4977-b4e5-35bd9045887fCarrillo-Ramos, Angela0cb0c647-4dfc-4e40-ad13-4c3c5a27b28b2023-07-19T21:11:27Z2023-07-19T21:11:27Z20222023Henriquez-Nunez, Y., Parra, C., & Carrillo-Ramos, A. (2022). ALPY PLUS - adaptive model oriented to pathway planning in virtual learning system. En Communications in Computer and Information Science (pp. 83–100). Springer International Publishing.https://hdl.handle.net/20.500.12585/1217010.1007/978-3-031-19951-6_6Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper presents an adaptive model called ALPY PLUS to enrich the dynamic planning of learning resources with user characteristics and those of her/his context, in order to provide a personalized course in a virtual environment. We describe the proposed architecture, the visual prototype, together with the main components, actions and services required by the adaptive model. © 2022, Springer Nature Switzerland AG.17 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Communications in Computer and Information ScienceALPY PLUS - Adaptive Model Oriented to Pathway Planning in Virtual Learning Systeminfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Computer-Aided Instruction;Adaptive Hypermedia;Intelligent Tutoring SystemsLEMBCartagena de IndiasCited 2 times. Abech, M., da Costa, C.A., Barbosa, J.L.V., Rigo, S.J., da Rosa Righi, R.: A model for learning objects adaptation in light of mobile and context-aware computing. Pers. Ubiquitous Comput. 20(2), 167–184 (2016). https://doi.org/10.1007/s00779016-0902-3, http://link.springer.com/10.1007/s00779-016-0902-3Alamri, A., Rusby, H., Cristea, A.I., Kayama, M., Khan, J., Shi, L., Stewart, C. An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System (2018) ACM International Conference Proceeding Series, pp. 57-61. Cited 5 times. http://portal.acm.org/ ISBN: 978-145036440-9 doi: 10.1145/3234825.3234835Cena, F., Rapp, A., Musto, C., Semeraro, G. Generating recommendations from multiple data sources: A methodological framework for system design and its application (2020) IEEE Access, 8, art. no. A18784_06, pp. 183430-183447. Cited 6 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2020.3028777de Zubiría Samper, J. Hacia una Pedagogía Dialogante (2006) Los Modelos PedagógicosFelder, R., Silverman, L. Learning and teaching styles in engineering education (1988) Eng. Educ., 78 (7), pp. 674-681. Cited 3741 times. http://www.ncsu.edu/felder-public/ILSpage. htmlFlorez Ochoa, R. (2001) Evaluacion Pedagogica Y Cognicion. Cited 16 times.Foutsitzi, S., Caridakis, G. ICT in education: Benefits, Challenges and New directions (2019) 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019, art. no. 8900666. Cited 12 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8893976 ISBN: 978-172814959-2 doi: 10.1109/IISA.2019.8900666Google Trends: Massive Open Online Course, MOOC-Explorar-Google Trends. https://trends.google.es/trends/exploreHlib, P., Zatonatska, T., Liutyi, I. Utilization of Information Technologies in Higher Education (2019) 2019 IEEE International Conference on Advanced Trends in Information Theory, ATIT 2019 - Proceedings, art. no. 9030449, pp. 349-354. Cited 2 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9018458 ISBN: 978-172816144-0 doi: 10.1109/ATIT49449.2019.9030449Iatrellis, O., Kameas, A., Fitsilis, P. EDUC8 pathways: executing self-evolving and personalized intra-organizational educational processes (Open Access) (2020) Evolving Systems, 11 (2), pp. 227-240. Cited 4 times. http://www.springer.com/engineering/journal/12530 doi: 10.1007/s12530-019-09287-4Karataev, E., Zadorozhny, V. Adaptive Social Learning Based on Crowdsourcing (Open Access) (2017) IEEE Transactions on Learning Technologies, 10 (2), art. no. 7373654, pp. 128-139. Cited 39 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076 doi: 10.1109/TLT.2016.2515097Kasinathan, V., Mustapha, A., Medi, I. Adaptive learning system for higher learning (2017) ICIT 2017 - 8th International Conference on Information Technology, Proceedings, art. no. 8079975, pp. 960-970. Cited 9 times. ISBN: 978-150906332-1 doi: 10.1109/ICITECH.2017.8079975Khosravi, H., Sadiq, S., Gasevic, D. Development and adoption of an adaptive learning system reflections and lessons learned (2020) SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education, pp. 58-64. Cited 35 times. http://dl.acm.org/citation.cfm?id=3328778 ISBN: 978-145036793-6 doi: 10.1145/3328778.3366900Da Silva Lopes, R., Fernandes, M.A. Adaptative instructional planning usingworkflow and genetic algorithms (2009) Proceedings of the 2009 8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, art. no. 5223120, pp. 87-92. Cited 12 times. ISBN: 978-076953641-5 doi: 10.1109/ICIS.2009.197Mangina, F., Chiazzese, G., Hasegawa, T. AHA: ADHD Augmented (Learning Environment) (2019) Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018, art. no. 8615222, pp. 774-777. Cited 8 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8600698 ISBN: 978-153866522-0 doi: 10.1109/TALE.2018.8615222Marathe, S., Shyam Sundar, S. What drives customization? Control or identity? (2011) Conference on Human Factors in Computing Systems - Proceedings, pp. 781-790. Cited 86 times. ISBN: 978-145030228-9 doi: 10.1145/1978942.1979056Meacham, S., Pech, V., Nauck, D. AdaptiveVLE: An integrated framework for personalized online education using MPS jetbrains domain-specific modeling environment (Open Access) (2020) IEEE Access, 8, pp. 184621-184632. Cited 5 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2020.3029888Reis, J.L., Carvalho, J.A.: Personalization dimensions: a conceptual model for personalized information systems. In: 2014 9th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–5. IEEE (2014). https://doi.org/10.1109/CISTI.2014.6876933, https://ieeexplore.ieee.org/document/6876933Rosen, Y., Munson, L., Lopez, G., Rushkin, I., Ang, A., Tingley, D., Rubin, R., (...), Weber, G. The effects of adaptive learning in a massive open online course on learners' skill development (2017) Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018, art. no. 6. Cited 18 times. http://dl.acm.org/citation.cfm?id=3231644 ISBN: 978-145035886-6 doi: 10.1145/3231644.3231651UNESCO: TIC, educación y desarrollo social en América Latina y el Caribe-UNESCO Biblioteca Digital, https://unesdoc.unesco.org/ark:/48223/pf0000262862Williams, J.J., Kim, J., Rafferty, A., Maldonado, S., Gajos, K.Z., Lasecki, W.S., Heffernan, N. AXIS: Generating explanations at scale with learnersourcing and machine learning (2016) L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale, pp. 379-388. Cited 102 times. 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