Research Article
E-learning project assessment: A new approach through the analysis of learners’ posts on social media
@ARTICLE{10.4108/eai.10-3-2016.151121, author={A. Caione and A.L. Guido and R. Paiano and A. Pandurino and S. Pasanisi}, title={E-learning project assessment: A new approach through the analysis of learners’ posts on social media}, journal={EAI Endorsed Transactions on e-Learning}, volume={3}, number={9}, publisher={EAI}, journal_a={EL}, year={2016}, month={3}, keywords={Assessment, Social and organizational perspectives, Best Practices}, doi={10.4108/eai.10-3-2016.151121} }
- A. Caione
A.L. Guido
R. Paiano
A. Pandurino
S. Pasanisi
Year: 2016
E-learning project assessment: A new approach through the analysis of learners’ posts on social media
EL
EAI
DOI: 10.4108/eai.10-3-2016.151121
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.
Copyright © 2016 A. Caione et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.