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Adaptive Literacy-Aware Integration of Learning Material
Grevisse, Christian
2016In UMAP 2016 Extended Proceedings
Peer reviewed


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Keywords :
adaptive learning; recommender systems; social media; 21st century literacies; computer-based assessment
Abstract :
[en] The growing amount of available learning material nowadays requires a significant filtering effort by students for problem solving tasks. In addition, the choice of the appropriate type of learning material differs depending on the individual learner’s preferences. In this work, we suggest to move from a material-centered to a student- and task-centered approach by integrating and suggesting learning material based on the user’s literacy and the context of the task to be completed. Data from social networking platforms may both enrich the available learning material and give insights on the user’s preferences, to adequately match material and learner in the given context. Finally, computer-based assessment may give insights on the learner’s progress and the proposed study material.
Disciplines :
Computer science
Author, co-author :
Grevisse, Christian  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
Language :
Title :
Adaptive Literacy-Aware Integration of Learning Material
Publication date :
Event name :
24th Conference on User Modeling, Adaptation and Personalization
Event place :
Halifax, Canada
Event date :
from 13-07-2016 to 16-07-2016
Main work title :
UMAP 2016 Extended Proceedings
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 05 July 2016


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