E-Learning, E-Education, and Online Training. Third International Conference, eLEOT 2016, Dublin, Ireland, August 31 – September 2, 2016, Revised Selected Papers

Research Article

A Social Metric Approach to E-Learning Evaluation in Education

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  • @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
Adriana Caione1,*, Anna Guido1,*, Roberto Paiano1,*, Andrea Pandurino1,*, Stefania Pasanisi1,*
  • 1: Department of Engineering for Innovation
*Contact email: adriana.caione@unisalento.it, annalisa.guido@unisalento.it, roberto.paiano@unisalento.it, andrea.pandurino@unisalento.it, stefania.pasanisi@unisalento.it

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.