Research Article
A Social Metric Approach to E-Learning Evaluation in Education
@INPROCEEDINGS{10.1007/978-3-319-49625-2_1, author={Adriana Caione and Anna Guido and Roberto Paiano and Andrea Pandurino and Stefania Pasanisi}, title={A Social Metric Approach to E-Learning Evaluation in Education}, proceedings={E-Learning, E-Education, and Online Training. Third International Conference, eLEOT 2016, Dublin, Ireland, August 31 -- September 2, 2016, Revised Selected Papers}, proceedings_a={ELEOT}, year={2017}, month={1}, keywords={E-learning Critical success factors Key performance indicators Information extraction Sentiment analysis Social media}, doi={10.1007/978-3-319-49625-2_1} }- Adriana Caione
Anna Guido
Roberto Paiano
Andrea Pandurino
Stefania Pasanisi
Year: 2017
A Social Metric Approach to E-Learning Evaluation in Education
ELEOT
Springer
DOI: 10.1007/978-3-319-49625-2_1
Abstract
The use of e-learning in education is an ever-increasing practice. E-learning could generate effective learning for education. There are several factors affecting the creation of successful e-learning for education as well as several criteria possibly applied to evaluate the effectiveness. The “traditional” way (questionnaire, interview, information system analysis) to measure effectiveness is not enough in e-learning measure of effectiveness because part of the information, that coming from social networks, will be lost. This paper, after identifying the Critical Success Factors (CSFs) of a synchronous e-learning system, and identifying the Key Performance Indicators (KPIs), proposes an approach for evaluation based on the analysis of information derived from social aspects. The paper proposes a set of CSFs and KPIs to study the students’ perception and highlights how to measure the KPIs using social software information.
