Information filtering based on user behavior analysis and best match text retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Personalized e-learning system using Item Response Theory
Computers & Education
International Journal of Learning Technology
The Ariadne Infrastructure for Managing and Storing Metadata
IEEE Internet Computing
Metadata in Architecture Education - First Evaluation Results of the MACE System
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Content-based recommendation systems
The adaptive web
Hybrid web recommender systems
The adaptive web
Aggregating preference graphs for collaborative rating prediction
Proceedings of the fourth ACM conference on Recommender systems
Workshop on recommender systems for technology enhanced learning
Proceedings of the fourth ACM conference on Recommender systems
Providing varying degrees of guidance for work-integrated learning
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Activity-based learner-models for learner monitoring and recommendations in Moodle
EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
Learning analytics at large: the lifelong learning network of 160,000 European teachers
EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
Attention please!: learning analytics for visualization and recommendation
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
The case for an open science in technology enhanced learning
International Journal of Technology Enhanced Learning
Learning analytics: envisioning a research discipline and a domain of practice
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
1st International Workshop on Learning Analytics and Linked Data
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
The pulse of learning analytics understandings and expectations from the stakeholders
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Goal-oriented visualizations of activity tracking: a case study with engineering students
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Semi-automatic assembly of learning resources
Computers & Education
Evaluating collaborative filtering recommendations inside large learning object repositories
Information Processing and Management: an International Journal
Learning analytics: drivers, developments and challenges
International Journal of Technology Enhanced Learning
A reference model for learning analytics
International Journal of Technology Enhanced Learning
Data sets for offline evaluation of scholar's recommender system
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Addressing learner issues with StepUp!: an evaluation
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Analytics on video-based learning
Proceedings of the Third International Conference on Learning Analytics and Knowledge
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In the world of recommender systems, it is a common practice to use public available datasets from different application environments (e.g. MovieLens, Book-Crossing, or Each-Movie) in order to evaluate recommendation algorithms. These datasets are used as benchmarks to develop new recommendation algorithms and to compare them to other algorithms in given settings. In this paper, we explore datasets that capture learner interactions with tools and resources. We use the datasets to evaluate and compare the performance of different recommendation algorithms for learning. We present an experimental comparison of the accuracy of several collaborative filtering algorithms applied to these TEL datasets and elaborate on implicit relevance data, such as downloads and tags, that can be used to improve the performance of recommendation algorithms.