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

STAT

Two Recommending Strategies to Enhance Online Presence in Personal Learning EnvironmentsWeb-based Personal Learning Environments (PLE). A PLE is a set of services selected and customized by students. Among these services, resource (either digital or human) recommendation is a crucial one. Accordingly, this chapter describes a novel approach to supporting PLEs through recommendation ser

Goblet-Cells

Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem their learning. Related work shows that recommendations in TEL can support learners and that in TEL ecosystems, learners do use different platforms. We therefore pursue the goal to enable recommendations across different platforms by exploiting the synergies between them to benefit learners. Howeve

尾巴

Conducive

阻塞

An Approach for an Affective Educational Recommendation Modeln of the TORMES methodology to specific educational settings. We report 29 recommendations elicited in 12 scenarios by applying this methodology. Moreover, a UML formalized version of the recommendations model which can describe the recommendations elicited is presented in the paper.

半圓鑿

Book 2014actices 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 lea

Cabg318

爆米花

言行自由

Collaborative Filtering Recommendation of Educational Content in Social Environments Utilizing Sentipolarity of an associated text, to retrieve additional explicit information from user comments when a standard rating is missing and expand tried recommendation calculation with qualitative information based on the community’s opinion before proposing the resource to another user.

詞匯記憶方法

Towards Automated Evaluation of Learning Resources Inside Repositoriess point out the feasibility of achieving such goal which suggests that this method can be used as a starting point for the pursuit of automatically generation of internal quality information about resources inside repositories.