Conference Proceeding

Sentiment Analysis to Assess Students’ Perception on the Adoption of Online Learning During Pre-COVID-19 Pandemic Period

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Citation

Sirajudeen S, Duraisamy B, Haleema & Devi VA (2021) Sentiment Analysis to Assess Students’ Perception on the Adoption of Online Learning During Pre-COVID-19 Pandemic Period. In: Peng S, Hsieh S, Gopalakrishnan S & Duraisamy B (eds.) Intelligent Computing and Innovation on Data Science. Lecture Notes in Networks and Systems, 248. 2nd International Conference on Technology Innovation and Data Sciences, ICTIDS 2021, Petaling Jaya, Malaysia, 19.02.2021-20.02.2021. Singapore: Springer, pp. 157-166. https://doi.org/10.1007/978-981-16-3153-5_19

Abstract
The COVID-19 pandemic situation had imposed unexpected changes in our day-to-day life, especially in terms of how we work and how we learn. Before COVID-19, e-learning methodologies were embraced only by inquisitive learners and by few corporate companies and educational institutions to disseminate knowledge through an alternative mode of content delivery. Although e-learning offers great flexibility to the learners to learn at their own convenient time and pace, by accessing the content via any smart device irrespective of their geographical location, it has got some limitations too due to which most of the teachers/students, as well as the educational institutions, prefer the traditional method of teaching/learning over online learning. In this paper, exclusive sentiment analysis has been carried out to assess the perception of the students on the adoption of online learning using a dataset that has been collected during the pre-COVID-19 pandemic period. The results of the analysis demonstrate that online learning was not as popular and widely adopted among the student’s fraternity as it is during this COVID-19 pandemic period.

Keywords
Sentiment analysis; Online learning; Covid-19 pandemic period

StatusPublished
Title of seriesLecture Notes in Networks and Systems
Number in series248
Publication date31/12/2021
Publication date online28/09/2021
PublisherSpringer
Place of publicationSingapore
ISSN of series2367-3370
ISBN978-981-16-3152-8
eISBN978-981-16-3153-5
Conference2nd International Conference on Technology Innovation and Data Sciences, ICTIDS 2021
Conference locationPetaling Jaya, Malaysia
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