Abstract
This study aims to provide learners with appropriate learning activities navigation based on a learning process recommendation system that gradually adapts to their needs. A learning activity consists of a series of purposeful learning actions with a specific sequence. In the system, user profile is generated from various learning related activities that are collected over different time spans. A dynamic user group is generated based on the similarity of user profiles which have had successful learning experience, and can be used to create a personalized navigation of learning activities for a target learner. In this paper, after introducing how to create a dynamic design of learning activities navigation, we focus on discussing the design and implementation issues of the prototype system for personalized learning support.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Smith, J.B.: Collective Intelligence in Computer-Based Collaboration. Lawrence Erlbaum, Hillsdale (1994)
Jermann, P., Dillenbourg, P.: An Analysis of Learner Arguments in a Collective Learning Environment. In: Proc. CSCL 1999, California (1999)
Chen, J., Shtykh, R.Y., Jin, Q.: Gradual Adaption Model for Information Recommendation Based on User Access Behavior. International Journal on Advances in Intelligent Systems 2(1), 192–202 (2009)
Ichimura, H., Suzuki, M., Murai, M.: The Consideration to Active Learning Activities in Classrooms and Distance Education Based on the Effectiveness of the Multimedia Use. In: Proc. IEEE SMC 1999, Tokyo, pp. 208–213 (1999)
Fuhrmann, S., Bosley, J., Li, B., Crawford, S., MacEachren, A., Downs, R., Gahegan, M.: Assessing the Usefulness and Usability of Online Learning Activities: MapStats for Kids. In: Proc. DG.O 2003, Boston, pp. 1–4 (2003)
Sivilotti, P., Pike, S.M.: A Collection of Kinesthetic Learning Activities for a Course on Distributed Computing. ACM SIGACT News 38, 56–74 (2007)
Liu, Q.: Research on integrating model of learning activities and learning resources and its application. In: Proc. GrC 2008, Hangzhou, pp. 448–451 (2008)
Soller, A., Wiebe, J., Lesgold, A.: A Machine Learning Approach to Assessing Knowledge Sharing During Collaborative Learning Activities. In: Proc. CSCL 2002, Colorado, pp. 128–137 (2002)
Toccafondi, G., Molari, G., Brunk, J., Napoletano, L., Grönvall, E.: Design for Collaborative Learning Activities. In: Proc. EACE 2005, Chania, pp. 271–275 (2005)
Huang, L.H., Dow, C.R., Li, Y.H., Hsuan, P., Koo, W.L.: A Prompt Response Monitoring System for the Guiding Support of Learning Activities. In: Proc. ICIT 2010, Las Vegas, pp. 1080–1085 (2010)
Torres, J., Dodero, J.M., Aedo, I.: Designing the Execution of Learning Activities in Complex Learning Processes using LPCEL. In: Proc. ICALT 2006, Kerkrade, pp. 415–419 (2006)
Martel, C., Vignollet, L., Ferraris, C., David, J.P., Lejeune, A.: Modeling Collaborative Learning Activities on E-learning Platforms. In: Proc. ICALT 2006, Kerkrade, pp. 707–709 (2006)
Teo, C.B., Gay, R.K.L.: A Knowledge-Driven Model to Personalize E-Learning. JERIC 6(1) (2006)
Chang, A., Chang, M., Heh, J.: Implementing a Context-aware Learning Path Planner for Learning in Museum. In: Proc. WSEAS 2007, Tenerife, pp. 239–243 (2007)
Eide, S., Kristensen, T., Lamo, Y.: A Model for Dynamic Content Based E-learning systems. In: Proc. EATIS 2008, Aracaju (2008)
Ternier, S., Massart, D., Campi, A., Guinea, S., Ceri, S., Duval, E.: Interoperability for Searching Learning Object Repositories. D-Lib Magazine 14(1,2) (2008)
Ochoa, X., Duval, E.: Relevance Ranking Metrics for Learning Object. IEEE Tran. on Learning Technologies 1(1), 34–48 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, J., Man, H., Yen, N.Y., Jin, Q., Shih, T.K. (2010). Dynamic Navigation for Personalized Learning Activities Based on Gradual Adaption Recommendation Model. In: Luo, X., Spaniol, M., Wang, L., Li, Q., Nejdl, W., Zhang, W. (eds) Advances in Web-Based Learning – ICWL 2010. ICWL 2010. Lecture Notes in Computer Science, vol 6483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17407-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-17407-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17406-3
Online ISBN: 978-3-642-17407-0
eBook Packages: Computer ScienceComputer Science (R0)