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Mon, 28 Jan 2019 00:46:15 +0100
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Apologies for multiple posting

******CALL FOR PAPERS************************
-ReS4TEL: Recommender Systems for Technology-Enhanced Learning

-Workshop at Mis4Tel conference, Ávila (Spain) 26th-28th June, 2019

9th International Conference in Methodologies and Intelligent Systems for
Technology Enhanced Learning

* Workshop papers submission deadline: February, 4 (maybe 1 week more), 2019
* Workshop papers notification of acceptance: March, 11, 2019
* Workshop authors' registration and camera-ready papers: March, 29, 2019
(HARD deadline for the production of proceedings)
* Format: Workshop contributions should be either full papers (8 pages) or
short   papers (4-6 pages), including figures and references in Microsoft
Word or Latex Format.
*Proceedings Published By Springer
*Scopus Indexed

The aim of ReS4TEL is to connect researchers, educators and technology
experts giving them an opportunity to share and discuss new solutions,
trends and realizations concerning recommender systems for
Technology-enhanced Learning environments and the adoption of emerging
technologies in educational settings such as learning process
personalization, adaptive retrieval of learning objects, student and
teacher modeling.
   This workshop invites researchers and practitioners to submit research
papers and work in progress investigating recommender systems for
eLearning environment.
We encourage particularly the submission of articles where recommendations
and automated support is given: 1) Teachers (such as in the
construction of courses by selection of relevant learning resources
retrieved on the web) or/and 2) Students (such as in the case of course
adaptation, or help in taking individual decisions about what learning
experience to select, out of several, possibly pedagogically equivalent,
available ones) or/and 3) Communities, basing of their inner dynamics.

Potential topics include, but are not limited to, the following:

-Recommendation of learning units
-Social recommendations in communities of practice for learning and
-Formal and informal scenarios of recommendation in e-learning
-Usability of social recommender systems for technology-enhanced learning
-Mobile-based technologies for recommendations and adaptivity in e-learning
-Design and implementation of adaptive e-learning systems
-Visual presentation of data in educational recommender systems
-Visual presentation of data in adaptive recommending systems
-Teacher and User modeling in Technology-enhanced learning
-Evaluation methods and techniques for educational recommender systems
-Evaluation of adaptive e-learning systems
-Models, methods and tools for recommendations in eLearning

Workshop chairs:
Fabio Gasparetti:
Engineering Department, ROMA TRE University
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Carla Limongelli:
Engineering Department,  ROMA TRE University
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Filippo Sciarrone
Engineering Department, ROMA TRE University
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