Defining and Evaluating Learner Experience for Social Adaptive E-Learning

Author Lei Shi



PDF
Thumbnail PDF

File

OASIcs.ICCSW.2014.74.pdf
  • Filesize: 0.98 MB
  • 9 pages

Document Identifiers

Author Details

Lei Shi

Cite AsGet BibTex

Lei Shi. Defining and Evaluating Learner Experience for Social Adaptive E-Learning. In 2014 Imperial College Computing Student Workshop. Open Access Series in Informatics (OASIcs), Volume 43, pp. 74-82, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
https://doi.org/10.4230/OASIcs.ICCSW.2014.74

Abstract

Social adaptive e-learning combines, threads and balances the amount of social and adaptive features for e-learning in order to achieve high-quality Learner eXperience (LX). Evaluating a social adaptive e-learning system is a difficult task due to its complexity. It is crucial to ensure that appropriate evaluation methods and measures are used. A User-centric approach serves the empirical system evaluation using subjective user feedback on satisfaction and productivity as well as the quality of work and support, so as to verify the quality of product, detect problems, and support decisions. This paper proposes a learner-centric evaluation framework, which applies a user-centric approach, aiming to evaluate LX in social adaptive e-learning from the end-user (learner) point of view, taking into consideration both social and adaptive perspectives.
Keywords
  • Social adaptive e-learning
  • user-centric evaluation
  • learner experience

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail