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

Authors

  • A. Caione Via per Monteroni
  • A.L. Guido Via per Monteroni
  • R. Paiano Via per Monteroni
  • A. Pandurino Via per Monteroni
  • S. Pasanisi Via per Monteroni

DOI:

https://doi.org/10.4108/eai.10-3-2016.151121

Keywords:

Assessment, Social and organizational perspectives, Best Practices

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.

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Published

10-03-2016

How to Cite

[1]
A. Caione, A. Guido, R. Paiano, A. Pandurino, and S. Pasanisi, “E-learning project assessment: A new approach through the analysis of learners’ posts on social media”, EAI Endorsed Trans e-Learn, vol. 3, no. 9, p. e4, Mar. 2016.