Handbook of Learning Analytics
Chapter 20
Handbook of Learning Analytics
First Edition
Applying Recommender Systems
for Learning Analytics: A Tutorial
Soude Fazeli, Hendrik Drachsler & Peter Sloep
Abstract
This chapter provides an example of how a recommender system experiment can be conducted in the domain of learning analytics (LA). The example study presented in this chapter followed a standard methodology for evaluating recommender systems in learning. The example is set in the context of the FP7 Open Discovery Space (ODS) project that aims to provide educational stakeholders in Europe with a social learning platform in a social network similar to Facebook, but unlike Facebook, exclusively for learning and knowledge sharing. In this chapter, we describe a full recommender system data study in a stepwise process. Furthermore, we outline shortcomings for data-driven studies in the domain of learning and emphasize the high need for an open learning analytics platform as suggested by the SoLAR society.
Export Citation: Plain Text (APA) BIBTeX RIS
No Supplementary Material Available
Bizer, C., Heath, T., & Berners-Lee, T. (2009). Linked data: The story so far. International Journal on Semantic Web and Information Systems, 5(3), 1–22.
Dietze, S., Siemens, G., Taibi, D., & Drachsler, H. (2016). Editorial: Datasets for learning analytics. Journal of Learning Analytics, 3(3), 307–311. http://dx.doi.org/10.18608/jla.2016.32.15
Drachsler, H., Hummel, H., van den Berg, B., Eshuis, J., Waterink, W., Nadolski, R., Berlanga, A., Boers, N., & Koper, R. (2009). Effects of the ISIS recommender system for navigation support in self-organised learning networks. Journal of Educational Technology & Society, 12(3), 115–126.
Drachsler, H., & Kalz, M. (2016). The MOOC and learning analytics innovation cycle (MOLAC): A reflective summary of ongoing research and its challenges. Journal of Computer Assisted Learning, 32(3), 281–290. http://doi.org/ 10.1111/jcal.12135
Drachsler, H., Rutledge, L., Van Rosmalen, P., Hummel, H., Pecceu, D., Arts, T., Hutten, E., & Koper, R. (2010). ReMashed: An usability study of a recommender system for mash-ups for learning. International Journal of Emerging Technologies in Learning, 5. http://online-journals.org/i-jet/article/view/1191
Drachsler, H., Verbert, K., Santos, O., & Manouselis, N. (2015). Panorama of recommender systems to support learning. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender systems handbook, 2nd ed. Springer.
Drachsler, H., Verbert, K., Sicilia, M.-A., Wolpers, M., Manouselis, N., Vuorikari, R., Lindstaedt, S., & Fischer, F. (2011). dataTEL: Datasets for Technology Enhanced Learning — White Paper. Stellar Open Archive. http://dspace.ou.nl/handle/1820/3846
Duval, E. (2011). Attention please! Learning analytics for visualization and recommendation. Proceedings of the 1st International Conference on Learning Analytics and Knowledge (LAK ʼ11), 27 February–1 March 2011, Banff, AB, Canada (pp. 9–17). New York: ACM.
Fazeli, S., Loni, B., Drachsler, H., & Sloep, P. (2014). Which recommender system can best fit social learning platforms? Proceedings of the 9th European Conference on Technology Enhanced Learning (EC-TEL ʼ14), 16–19 September 2014, Graz, Austria (pp. 84–97).
Gašević, G., Dawson, C., Ferguson, S. B., Duval, E., Verbert, K., & Baker, R. S. J. d. (2011, July 28). Open learning analytics: An integrated and modularized platform. http://www.elearnspace.org/blog/wp-content/uploads/2016/02/ProposalLearningAnalyticsModel_SoLAR.pdf
Greller, W., & Drachsler, H. (2012). Translating learning into numbers: A generic framework for learning analytics. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK ʼ12), 29 April–2 May 2012, Vancouver, BC, Canada (pp. 42–57). New York: ACM.
Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004). Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22(1), 5–53.
Manouselis, N., Drachsler, H., Verbert, K., & Duval, E. (2012). Recommender systems for learning. Springer Berlin Heidelberg.
Manouselis, N., Vuorikari, R., & Van Assche, F. (2010). Collaborative recommendation of e-learning resources: An experimental investigation. Journal of Computer Assisted Learning, 26(4), 227–242.
Pazzani, M. J., & Billsus, D. (2007). Content-based recommendation systems. In P. Brusilovsky, A. Kobsa, & W. Nejdl (Eds.), The adaptive web: Methods and strategies of web personalization (pp. 325–341). Lecture Notes in Computer Science vol. 4321. Springer.
Schafer, J. B., Frankowski, D., Herlocker, J., & Sen, S. (2007). Collaborative filtering recommender systems. In P. Brusilovsky, A. Kobsa, & W. Nejdl (Eds.), The adaptive web: Methods and strategies of web personalization (pp. 291–324). Lecture Notes in Computer Science vol. 4321. Springer.
Schmitz, H., Scheffel, M., Friedrich, M., Jahn, M., Niemann, K., Wolpers, M., & Augustin, S. (2009). CAMera for PLE. In U. Cress, V. Dimitrova, & M. Specht (Eds.), Learning in the Synergy of Multiple Disciplines: 4th European Conference on Technology Enhanced Learning (EC-TEL 2009) Nice, France, September 29–October 2, 2009 Proceedings (pp. 507–520). Lecture Notes in Computer Science vol. 5794. Springer.
Verbert, K., Drachsler, H., Manouselis, N., Wolpers, M., Vuorikari, R., & Duval, E. (2011). Dataset-driven research for improving recommender systems for learning. Proceedings of the 1st International Conference on Learning Analytics and Knowledge (LAK ʼ11), 27 February–1 March 2011, Banff, AB, Canada (pp. 44–53). New York: ACM.
Title
Applying Recommender Systems
for Learning Analytics: A Tutorial
Book Title
Handbook of Learning Analytics
Pages
pp. 235-240
Copyright
2017
DOI
10.18608/hla17.020
ISBN
978-0-9952408-0-3
Publisher
Society for Learning Analytics Research
Authors
Soude Fazeli1
Hendrik Drachsler2
Peter Sloep2
Author Affiliations
1. Welten Institute, Research Centre for Learning, Teaching and Technology, The Netherlands
2. Open University of the Netherlands, The Netherlands
Editors
Charles Lang3
George Siemens4
Alyssa Wise5
Dragan Gašević6
Editor Affiliations
3. Teachers College, Columbia University, USA
4. LINK Research Lab, University of Texas at Arlington, USA
5. Learning Analytics Research Network, New York University, USA
6. Schools of Education and Informatics, University of Edinburgh, UK