Drachsler, H., Van den Berg, B., Nadolski, R., Berlanga, A., & Hummel, H. (2007). Personal recommender system to advise learning tasks in Moodle. [Software source code and documentation] Available under the three clause BSD licence, Copyright TENCompetence Foundation.The Open University of the Netherlands designed a prototypical Personalised Recommendation System (PRS) and evaluated it in a first experimental field study, attended by around 180 students. The PRS recommends most suitable learning activities to learners, by taking into account their personal profile and the (successful) behavior from other (similar) learners. We used a special kind of collaborative filtering technique, called stereotype filtering, and combined this with an on...
Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-base...
The simulation and its background is described in detail in: Simulating [in the search] for lightwei...
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...
The Open University of the Netherlands designed a prototypical Personalised Recommendation System (P...
A Personal Recommender System (PRS) has been created for Moodle to be able to recommend learning tas...
Drachsler, H., Hummel, H. G. K., & Koper, R. (2008). Personal recommender systems for learners in li...
This project is about the design and development of navigation services for distributed learning net...
Recommender systems are extremely popular as a research and application area, with various interesti...
Recommender Systems provide users with content or products they are interested in. The main purpose ...
Recommender systems have become an important research area since the emergence of the first research...
Various forms of Peer-Learning Environments are increasingly being used in post-secondary education,...
Recommender systems for e-learning demand specific pedagogy-oriented and hybrid recommendation strat...
The following article addresses open questions of the discussions in the first SIRTEL workshop at th...
Various forms of Peer-Learning Environments are increasingly being used in post-secondary education,...
This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their ...
Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-base...
The simulation and its background is described in detail in: Simulating [in the search] for lightwei...
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...
The Open University of the Netherlands designed a prototypical Personalised Recommendation System (P...
A Personal Recommender System (PRS) has been created for Moodle to be able to recommend learning tas...
Drachsler, H., Hummel, H. G. K., & Koper, R. (2008). Personal recommender systems for learners in li...
This project is about the design and development of navigation services for distributed learning net...
Recommender systems are extremely popular as a research and application area, with various interesti...
Recommender Systems provide users with content or products they are interested in. The main purpose ...
Recommender systems have become an important research area since the emergence of the first research...
Various forms of Peer-Learning Environments are increasingly being used in post-secondary education,...
Recommender systems for e-learning demand specific pedagogy-oriented and hybrid recommendation strat...
The following article addresses open questions of the discussions in the first SIRTEL workshop at th...
Various forms of Peer-Learning Environments are increasingly being used in post-secondary education,...
This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their ...
Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-base...
The simulation and its background is described in detail in: Simulating [in the search] for lightwei...
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...