Recommender Systems for Technology Enhanced Learning: Research Trends and Applications

✍ Scribed by Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos (eds.)

• Publisher: Springer-Verlag New York
• Year: 2014
• Tongue: English
• Leaves: 309
• Edition: 1
• Category: Library

✦ Synopsis

As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.

Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.

Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.

✦ Table of Contents

Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Collaborative Filtering Recommendation of Educational Content in Social Environments Utilizing Sentiment Analysis Techniques....Pages 3-23
Towards Automated Evaluation of Learning Resources Inside Repositories....Pages 25-46
A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systems....Pages 47-75
The Learning Registry: Applying Social Metadata for Learning Resource Recommendations....Pages 77-95
Front Matter....Pages 97-97
A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning....Pages 99-122
An Approach for an Affective Educational Recommendation Model....Pages 123-143
The Case for Preference-Inconsistent Recommendations....Pages 145-157
Further Thoughts on Context-Aware Paper Recommendations for Education....Pages 159-173
Front Matter....Pages 175-175
Towards a Social Trust-Aware Recommender for Teachers....Pages 177-194
ALEF: From Application to Platform for Adaptive Collaborative Learning....Pages 195-225
Two Recommending Strategies to Enhance Online Presence in Personal Learning Environments....Pages 227-249
Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem....Pages 251-265
COCOON CORE: CO-author REcommendations Based on Betweenness Centrality and Interest Similarity....Pages 267-282
Scientific Recommendations to Enhance Scholarly Awareness and Foster Collaboration....Pages 283-306

✦ Subjects

Artificial Intelligence (incl. Robotics); Education (general); Information Systems and Communication Service