عنوان

Recommender systems for technology enhanced learning :

(Number (ISBN

1306699886 (ebk)

(Number (ISBN

1493905309 (electronic bk.)

(Number (ISBN

9781306699884 (ebk)

(Number (ISBN

9781493905300 (electronic bk.)

Erroneous ISBN

1493905295 (print)

Erroneous ISBN

9781493905294

Erroneous ISBN

9781493905294 (print)

Number

dltt

Title Proper

Recommender systems for technology enhanced learning :

General Material Designation

[Book]

Other Title Information

research trends and applications /

First Statement of Responsibility

Nikos Manouselis [and others], editors ; foreword by Joseph A. Konstan.

Specific Material Designation and Extent of Item

1 online resource

Text of Note

Collaborative Filtering Recommendation of Educational Content in Social Environments utilizing Sentiment Analysis Techniques -- Towards automated evaluation of learning resources inside repositories -- Linked Data and the Social Web as facilitators for TEL recommender systems in researchand practice -- The Learning Registry: Applying Social Metadata for Learning Resource Recommendations -- A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning -- An approach for an Affective Educational Recommendation Model -- The Case for Preference-Inconsistent Recommendations -- Further Thoughts on Context-Aware Paper Recommendations for Education -- Towards a Social Trust-aware Recommender for Teachers -- ALEF: from Application to Platform for Adaptive Collaborative Learning -- Two Recommending Strategies to enhance Online Presence in Personal Learning Environments -- Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem -- COCOON CORE: CO-Author Recommendations based on Betweenness Centrality and Interest Similarity -- Scientific Recommendations to Enhance Scholarly Awareness and Foster Collaboration

0

Text of Note

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

Source for Acquisition/Subscription Address

MIL

Stock Number

601239

International Standard Book Number

9781306699884

Educational technology.

Recommender systems (Information filtering)

Number

Class number

Manouselis, Nikos.

Ohio Library and Information Network.

Date of Transaction

20201222074711.0

Cataloguing Rules (Descriptive Conventions))

rda

Electronic name

[Book]

270410

Y