The volume on Recommender Systems for Technology Enhanced Learning: Research Trends & Applications aims to collect contributions that will range from research papers to system presentations and that will address issues related to the application of recommender systems in the domain of education such as: (a) user needs, tasks and activities to be supported; (b) requirements for the design and deployment of recommender systems; (c) novel recommendation algorithms and systems; and (d) evaluation criteria, methods and studies.
Topics of interest for the volume include, but are not limited to:
- User tasks to be supported by recommender systems in TEL
- Explanation and visualizations of recommendations
- Open user models for TEL recommender systems
- Recommendation approaches based on social (meta) data
- Requirements for the deployment of TEL recommender systems
- Data sets for TEL recommender systems
- Recommendation algorithms and systems for TEL
- Transfer of successful algorithms and systems from other application areas
- Evaluation criteria and methods for TEL recommender systems
- Experiences from actual implementation in teaching, learning and/or community building