Learner profiles and the process of Learning in the Higher Educational Context
This paper presents a general review of methods for extracting, and using Learner profiles in Higher Education (HE) Informatics. Our research mainly examines the process of Learning in the Higher Educational Context. We review educational and technological aspects, and presents issues related to Technology Enhanced Learning, Personalization, and Adaptive Learning environments. Eventually, we examine different methods for extracting learners’ profiles encountered in the Greek HE context, and emphasize on issues concerning the design of accessible, adaptive, usable, web-based courses for disabled learners and learners with the cognitive disability of dyslexia.
ACM/IEEE: Computing Curricula 2001, vol. II, Computer Science, 2001.
ACM & IEEE-CS, The Joint Task Force on Computing Curricula, (2013), Computer Science Curricula 2013, Final Report 0.9 (Pre-release version)
Agent-DYSL project, Deliverable 1.1. State of the Art and Requirement Analysis Report, 28-12-2006
Dervos D.A., Laiho M., Aldana-Montes J., & Riihelä P. (2013). A DBTechNet Project for VET Teacher Training on Database SQL Transactions, 6th BCI, ACM.
Devaraj, S., Easley, R. F., & Crant, J. M. (2008). How does personality matter? Relating the Five-Factor Model to technology acceptance and use. Information Systems Research, 19, 93–105.
Diederich J. & Iofciu T. (2006). Finding Communities of Practice from User Profiles Based On Folksonomies, E. Tomadaki and P. Scott (Eds.): Innovative Approaches for Learning and Knowledge Sharing, EC-TEL 2006 Workshops Proceedings, ISSN 1613-0073, p. 288-297
Gabrielle, F., & Helene, G. (2003). The effects of culture on performance achieved through the use of human computer interaction. In Proceedings of the South African Institute for Computer Scientists and Information Technologists (SAICSIT 2003). ACM International Conference Proceeding Series (Vol. 47, pp. 218–230).
Germanakos, P., Mourlas, C., Panayiotou, C., & Samaras, G. (2005). Personalization systems and processes review based on a predetermined user interface categorization. In Proceedings of the III international conference on communication
Laiho, M., Dervos, D.A., Aldana-Montes, J.F., & Laux, F. (2010). DBTech EXT: Education and Hands-on Training for the Database Professional. ADBIS'10, pp 15-22, Springer-Verlag.
Laux, f., Laiho, M., & Connolly, T. (2012). E-learning with Hands-On Labs in Higher European Education, ICIW 2012, pp 231-237.
Longenecker, H.E., Feinstein, D.L., & Babb, J.S. (2013). Is There a Need For a Computer Information Systems Model Curriculum?, Proceedings of the Information Systems Educators Conference ISSN: 2167-1435, USA, v30 n2528
Paliouras G., Mouzakidis A., Ntoutsis C., Alexopoulos,A., & Skourlas C. (2006). PNS: Personalized Multi-Source News Delivery, KES 2006 conference
Paliouras G., Papatheodorou C., Karkaletsis V., & C.D. Spyropoulos (2000). Clustering the Users of Large Web Sites into Communities, Proceedings of the International Conference on Machine Learning (ICML), pp. 719-726, Stanford, California.
Pierrakos D., Paliouras G., Papatheodorou C., & C.D. Spyropoulos (2003). Web Usage Mining as a Tool for Personalization: A Survey, User Modeling and User-Adapted Interaction, v. 13, n. 4, pp. 311-372.
Rothes A., Lemos M.S., & Gonçalves T. (2013), Motives and beliefs of learners enrolled in adult education, Procedia - Social and Behavioral Sciences 112, 939 – 948, International Conference on Education & Educational Psychology 2013 (ICEEPSY 2013)
C. Skourlas, C. Sgouropoulou, P. Belsis, G. Pantziou, C. Sfikas, & N. Fosses (2007). Learner profiles in the Higher Educational Context, eRA2 International Scientific Conference, http://ikaros.teipir.gr/era/a2.htm
Schillewaert, N., Ahearne, M. J., Frambach, R. T., & Moenaert, R. K. (2005). The adoption of information technology in the sales force. Industrial Marketing Management, 34, 323–336.
Topi, H., Valacich, J-H,, Wright, R.T., Kaiser, K.M., Nunamaker, J.F., Sipior, J.C., & de Vreede, G.J. (2010). Curriculum Guidelines for Undergraduate Degree Programs in Information Systems, ACM & AIS
Tzouveli P., Mylonas P., & Kollias S. (2008). An intelligent e-learning system based on learner profiling and learning resources adaptation, Computers & Education, 51, 224–238
Yi M.Y. & Hwang Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model, Int. J. Human-Computer Studies, 59, 431 - 449
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