Titlebook: Recommender Systems for Technology Enhanced Learning; Research Trends and Nikos Manouselis,Hendrik Drachsler,Olga C. Santos Book 2014 Spri

冒失

Further Thoughts on Context-Aware Paper Recommendations for Educationle-dimensional recommendation; (2) recommendation from across different learning groups (with different pedagogical features and learning goals) is less effective than that from within the same learning groups, especially when collaborative filtering technique is applied.

殘暴

condone

Permanent

Two Recommending Strategies to Enhance Online Presence in Personal Learning Environmentsnown Analytical Hierarchical Process (AHP) method. The other one which has been tested on data coming from the prototype is based on the active user’s navigation stream and used a Kalman filter approach.

Mendicant

Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystemion algorithms by combining graph-based algorithms. As proof of concept, the framework was effectively applied and evaluated to develop a cross-platform recommender system in a TEL ecosystem comprising Moodle as the Learning Management System, and MediaWiki customized as Learning Object Repository.

騷擾

別名

CANON

corporate

Book 2014ata 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..

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