MeL: a dynamic adaptive model of the learning process in eLearning.
Supporting Agencies
- Este artículo está financiado por el Ministerio de Ciencia e Innovación bajo el programa nacional I D i
- proyecto TIN2011-25978 y EDU2010-16231
Abstract
The use of the Internet has been progressively integrated into our daily lives. This has also been true for all levels of education, where virtual learning environments have been the means by which teachers, students and educational institutions managed and distributed educational experiences. However, the present design of these systems make students have difficulties in deploying their meta-cognitive skills, in addition to producing a cognitive overload due to an inadequate content organization and navigation. Thus, it is necessary to provide learning platforms with a process that allows for the adaptation of these systems to students’ characteristics, needs and context in order to enhance the teaching-learning process. This paper describes an adaptive model for Learning Management Systems (LMSs) that using variables central to the learning process allows for the application of adaptive rules to the different types of contents and knowledge to be transferred and acquired. In practice, the resulting model allows to develop adaptive courses that support and promote learning and self-regulation in virtual learning environmentsDownloads
References
Agarwal, R., Sambamurthy, V., y Stair, R. M. (2000). Research Report: The Evolving Relationship Between General and Specific Com-puter Self-Efficacy—An Empirical Assessment. Information Systems Research, 11(4), pp. 418–430. doi:10.1287/isre.11.4.418.11876
Akbulut, Y., y Cardak, C. S. (2012). Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011. Computers & Education, 58(2), 835 – 842. doi:10.1016/j.compedu.2011.10.008
Area-Moreira, M. (2000). What is the role of the Internet in the peda-gogical change at the level of College Education (Spanish). Proceedings of III International Conference of Communication, Technology and Education, pp. 128–135.
Azevedo, R. (2005). Using Hypermedia as a Metacognitive Tool for Enhancing Student Learning? The Role of Self-Regulated Learning. Educational Psychologist, 40(4), 199–209. doi:10.1207/s15326985ep4004_2
Azevedo, R., & Aleven, V. (Eds.). (2013). International handbook of metacognition and learning technologies. Amsterdam, The Netherlands: Springer
Azevedo, R., Behnagh, R., Duffy, M., Harley, J., y Trevors, G. (2012). Metacognition and self-regulated learning in student-centered leaning environments. D. Jonassen & S. Land. Theoretical foundations of student-center learning environments, 171–197.
Azevedo, R., Cromley, J. G., Moos, D. C., Greene, J. A., y Winters, F. I. (2011). Adaptive content and process scaffolding: A key to facilitating students’ self-regulated learning with hypermedia. Psychological Testing and Assessment Modeling, 53, 106–140
Azevedo, R., Cromley, J. G., Winters, F. I., Moos, D. C., y Greene, J. A. (2005). Adaptive Human Scaffolding Facilitates Adolescents’ Self-regulated Learning with Hypermedia. Instructional Science, 33(5-6), 381–412. doi:10.1007/s11251-005-1273-8
Azevedo, R., y Feyzi-Behnagh, R. (2011). Dysregulated Learning with Advanced Learning Technologies. Journal of e-Learning and Knowledge Society-English Version, 7(2).
Azevedo, R. y Witherspoon, A. M. (2009). Self-regulated learning with hypermedia. En D. J. Hacker, J. Dunlosky, and A. C. Graesser, editors, Handbook of metacognition in education, pp 319–339. Mahwah, NJ: Routledge.
Bouchet, JM Harley, GJ Trevors, & R Azevedo (2013). Clustering and Profiling Students According to their Interactions with an Intelligent Tutoring System Fostering Self-Regulated Learning. Journal of Educational Data Mining, 5(1), 104-146.
Bra, P. D., y Calvi, L. (1998). AHA! An open Adaptive Hypermedia Architecture. New Review of Hypermedia and Multimedia, 4, pp. 115–139. doi:10.1080/13614569808914698
Brown, A. (1987). Metacognition, executive control, self-regulation, and other more myster- ious mechanisms. En F. Weinert & R. Kluwe, eds., Metacognition, Motivation, and Under- standing, (pp. 65–116. Hillsdale, NJ: Erlbaum.
Brusilovsky, P. (1996). Methods and techniques of adaptive hypermedia. User Modeling and User-Adapted Interaction, 6(2), 87–129. doi:10.1007/BF00143964
Butler, D. L., y Winne, P. H. (1995). Feedback and Self-Regulated Learning: A Theoretical Synthesis. Review of Educational Research, 65(3), 245–281. doi:10.3102/00346543065003245
Cerezo, R., Álvarez, D., Sánchez-Santillán, M., Núñez, J.C. y Álvarez, L. (2013). Nuevas metodologías para la evaluación del aprendizaje en campus virtuales. En O. Arias-Gundín & R. Fidalgo (Eds.), Innovación Educativa en la Educación Superior (pp. 77-96). Saarbrücken: Lap Lamberte Academic Publishin GMBH & Co.
Cristea, A. I., y De Mooij, A. (2003). Adaptive course authoring: My Online Teacher. En 10th International Conference on Telecommunications, 2003. ICT 2003 (Vol. 2, pp. 1762 – 1769 vol.2).
Cristea, A., Smits, D., y Bra, P. de. (2007). Towards a generic adaptive hypermedia platform: a conversion case study. JoDI: Journal of Digital Information, 8(3), 1.
Cuesta, D. L., Ramos, A. C., y Pavlich-Mariscal, J. A. (2012). Adaptation and disability aspects in a virtual learning environment. Dyna, 79(173), 6-14.
Dagger, D., O’Connor, A., Lawless, S., Walsh, E., y Wade, V. P. (2007). Service-Oriented E-Learning Platforms: From Monolithic Systems to Flexible Services. IEEE Internet Computing, 11(3), 28 –35. doi:10.1109/MIC.2007.70
Hauger, D., y Köck, M. (2007). State of the art of adaptivity in e-learning platforms. En Proceedings of the Workshop Adaptivity and User Modeling in Interactive Systems (ABIS) (pp. 24–26).
Duval, E. (2011). Attention please!: learning analytics for visualization and recommendation. En Proceedings of the 1st International Conference on Learning Analytics and Knowledge (pp. 9–17). New York, NY, USA: ACM. doi:10.1145/2090116.2090118
Duval, E., Klerkx, J., Verbert, K., Nagel, T., Govaerts, S., Parra Chico, G. A., … Vandeputte, B. (2012, May). Learning dashboards & learnscapes.
García, V. M. Á., Ruiz, M. del P. P., Van Dort, R., y Pérez, J. R. P. (2010). RSS-Based Learning Using Audio. International Journal of Human Capital and Information Technology Professionals, 1(4), 76–87. doi:10.4018/jhcitp.2010100105
Gibson, C. C. (1998). The distance learner’s academic self-concept. En C.C. Gibson (Ed.) Distance Learners in Higher Education: Institutional responses for quality outcomes (p. 65-76). Madison, WI.: Atwood.
Glahn, C., Specht, M., y Koper, R. (2007). Smart Indicators on Learning Interactions. En E. Duval, R. Klamma, & M. Wolpers (Eds.), Creating New Learning Experiences on a Global Scale (pp. 56–70). Springer Berlin Heidelberg.
Greene, J. A., Costa, L.-J., Robertson, J., Pan, Y., y Deekens, V. M. (2010). Exploring relations among college students’ prior knowledge, implicit theories of intelligence, and self-regulated learning in a hypermedia environment. Computers & Education, 55(3), 1027–1043.doi:10.1016/j.compedu.2010.04.013
Hsu, W. K., & Huang, S. S. (2006). Determinants of computer self-efficacy: An examination of learning motivation and learning environments. Journal of Educational Computing Research, 35(3), 245–265.
Jacobs, J. E., y Paris, S. G. (1987). Children’s Metacognition About Reading: issues in Definition, Measurement, and Instruction. Educational Psychologist, 22(3-4), 255–278. doi:10.1080/00461520.1987.9653052
Johnson, R. D. (2005). An empirical investigation of sources of application-specific computer self-efficacy and mediators of the efficacy–performance relationship. International Journal of Human-Computer Studies, 62(6), 737–758.
Lehmann, T., Hähnlein, I. y Ifenthale, D. (2014) Cognitive, metacognitive and motivational perspectives on preflection in self-regulated online learning. Computers in Human Behavior, 32, 313–323.
Lepper, M., y Wolverton, M. (2004). The wisdom of practice: Lessons learned from the study of highly effective tutors. En J. Aranson (Ed.), Improving academic achievement: Impact of psychological factors on education (pp. 135–158). New York, NY: Academic Press.
Matt, H. (2014). Creation of a Computer Self-Efficacy Measure: Analy-sis of Internal Consistency, Psychometric Properties, and Validity. Cyberpsychology, Behavior, and Social Networking. doi:10.1089/cyber.2014.0255.
McLoughlin, C. (2000). Beyond the halo effect: Investigating the quality of student learning online. Proceedings Moving Online Conference, School of Social Sciences, Southern Cross University.
Michaelides, D., Millard, D., Weal, M., y DeRoure, D. (2002). Auld Leaky: A Contextual Open Hypermedia Link Server. En S. Reich, M. Tzagarakis, & P. De Bra (Eds.), Hypermedia: Openness, Structural Awareness, and Adaptivity (Vol. 2266, pp. 215–218). Springer Berlin / Heidelberg.
Moos, D. C., y Azevedo, R. (2008). Self-regulated learning with hyper-media: The role of prior domain knowledge. Contemporary Educa-tional Psychology, 33(2), 270–298. doi:10.1016/j.cedpsych.2007.03.001
Moos, D. C., y Azevedo, R. (2009). Learning With Computer-Based Learning Environments: A Literature Review of Computer Self-Efficacy. Review of Educational Research, 79(2), 576–600. doi: 10.3102/0034654308326083
Morueta, R. T., Rodríguez, M. A. P., y Gómez, J. I. A. (2011). Blended e-learning en universidades andaluzas. Aula abierta, 39(2), 47–58.
Nicol, D. J., y Macfarlane‐Dick, D. (2006). Formative assessment and self‐regulated learning: a model and seven principles of good feedback practice. Studies in Higher Education, 31(2), 199–218. doi:10.1080/03075070600572090
Pellas, N. (2014). The influence of computer self-efficacy, metacognitive self-regulation and self-esteem on student engagement in online learning programs: Evidence from the virtual world of Second Life. Computers in Human Behavior, 35. 157-170. doi: 10.1016/j.chb.2014.02.048
Pachnowski, L. M., y Jurczyk, J. P. (2000). Correlating self-directed learning with distance learning success. Proceedings of the annual meeting of the Eastern Educational Research Association at Clearwater, FL.
Pintrich, P. R., Smith, D., Garcia, T., y McKeachie, W. J. (1991). A Manual for the Use of the Motivational Strategies for Learning Questionnaire. National Center for Research to Improve Postsecondary Teaching and Learning, Ann Arbor, MI.
Pintrich, Paul R. (2000). Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology, 92(3), 544–555. doi:10.1037/0022-0663.92.3.544
Polson, M. C., y Richardson, J. J. (Eds.). (1988). Foundations of intelligent tutoring systems. Hillsdale, NJ, USA: L. Erlbaum Associates Inc.
Quintana, C., Zhang, M., y Krajcik, J. (2005). A Framework for Sup-porting Metacognitive Aspects of Online Inquiry Through Software-Based Scaffolding. Educational Psychologist, 40(4), 235–244. doi:10.1207/s15326985ep4004_5
Rodríguez, S., G. Cabanach, R., Piñeiro, I., Valle, A., Núñez, J. C., y González-Pienda, J. A. (2001). Metas de aproximación, metas de evitación y múltiples metas académicas. Psicothema, 13(Número 4), 546–550.
Romero, C., Ventura, S., y García, E. (2008). Data mining in course management systems: Moodle case study and tutorial. Computers and Education, 51(1), 368–384.
Romero, Cristóbal, Ventura, S., Zafra, A., y Bra, P. de. (2009). Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems. Computers & Education, 53(3), 828 – 840. doi:10.1016/j.compedu.2009.05.003
Ruiz, M. del P. P., Díaz, M. J. F., Soler, F. O., y Pérez, J. R. P. (2008). Ad-aptation in current e-learning systems. Computer Standards & Interfaces, 30(1–2), 62–70. doi:10.1016/j.csi.2007.07.006
Sansone, C., Fraughton, T., Zachary, J.L., Butner y J. Heiner, C. (2011) Self-regulation of motivation when learning online: the importance of who, why and how. Education Technology Research Development, 59, 199–212. doi:10.1007/s11423-011-9193-6
Scheiter, K., y Gerjets, P. (2007). Learner Control in Hypermedia Environments. Educational Psychology Review, 19(3), 285–307. doi:10.1007/s10648-007-9046-3
Schraw, G., y Moshman, D. (1995). Metacognitive theories. Educational Psychology Review, 7(4), 351–371. doi:10.1007/BF02212307
Schunk, D. H. (1995). Self-efficacy and education and instruction. En Self-efficacy, Adaptation, and Adjustment: Theory, Research, and Application (pp. 281–303). New York, NY, US: Plenum Press.
Schunk, D. H., y Ertmer, P. A. (2000). Self-regulation and academic learning: Self-efficacy enhancing interventions. En M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-regulation (pp. 631–649). San Diego, CA, US: Academic Press.
Shute, V.J., & Zapata-Rivera, D. (2012). Adaptive educational systems. En P. Durlach y Lesgold, A. M. (Eds.), Adaptive technologies for training and education (pp. 7-27). New York, NY: Cambridge University Press.
Tinajero, C., Castelo, A., Guisande, A., y Páramo, F. (2011). Adaptive teaching and field dependence-independence: instructional implications. Revista Latinoamericana de Psicología, 43(3), 497–510.
Valle, A., Cabanach, R. G., Núñez, J. C., González-Pienda, J., Rodrí-guez, S., y Piñeiro, I. (2003). Multiple goals, motivation and academic learning. British Journal of Educational Psychology, 73(1), 71–87. doi:10.1348/000709903762869923
Valle, A., Núñez, J. C., Cabanach, R. G., González-Pienda, J. A., Rodrí-guez, S., Rosário, P., y Cerezo, R. (2009). Academic goals and learning quality in higher education students. The Spanish journal of psychology, 12(1), 96–105.
Valle, A., Rodríguez, S., Cabanach, R. G., Núñez, J. C., González-Pienda, J. A., y Rosário, P. (2010). Motivational Profiles and Differences in Affective, Motivational and Achievement Variables. Universitas Psychologica, 9(1), 109–121.
Vargas, O. L., Martínez, C. H., y Uribe, Á. C. (2012). Logro de aprendi-zaje en ambientes hipermediales: andamiaje autorregulador y estilo cognitivo. Revista Latinoamericana de Psicologia, 44(2), 13–26.
Yang, T. C., Hwang, G. J., y Yang, S. J. H. (2013). Development of an Adaptive Learning System with Multiple Perspectives based on Students? Learning Styles and Cognitive Styles. Educational Technology & Society, 16(4), 185-200.
Zimmerman, B. y Tsikalas, K. (2005). Computer-based learning environments (CBLEs) be used as self- regulatory tools to enhance learning? Educational Psychologist, 40(4), 267–271.
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