E-learning project assessment: A new approach through the analysis of learners’ posts on social media.

Journal Title: EAI Endorsed Transactions on e-Learning - Year 2016, Vol 3, Issue 10

Abstract

E-learning assessment is a key aspect in the overall e-learning process. There are several parameters to consider during the assessment. In recent years, several sets of factors, called Critical Success Factors, have been defined to provide a structural approach to assessment. They focus on many aspects but, in our view, they do not properly consider student satisfaction with courses. In e-learning applications, student opinion must be examined where it is expressed: on e-learning course social pages and/or social pages outside the platform but specific to the e-learning course. The problem is that these resources are unstructured and thus it is important to structure these resources before using them for assessment. In this paper, we discuss a proposal that can capture student opinion from social pages, combining several techniques, such as Natural Language Processing, Information Extraction; ontologies that help us to understand what and how students discuss about e-learning courses.

Authors and Affiliations

A. Caione, A. L. Guido, R. Paiano, A. Pandurino, S. Pasanisi

Keywords

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  • EP ID EP45968
  • DOI http://dx.doi.org/10.4108/eai.11-4-2016.151152
  • Views 246
  • Downloads 0

How To Cite

A. Caione, A. L. Guido, R. Paiano, A. Pandurino, S. Pasanisi (2016). E-learning project assessment: A new approach through the analysis of learners’ posts on social media.. EAI Endorsed Transactions on e-Learning, 3(10), -. https://europub.co.uk/articles/-A-45968