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Sentiment Analysis of Students' Attitudes toward Mobile Learning Activities

Authors :
Ilic, Peter
Source :
Research-publishing.net. 2020.
Publication Year :
2020

Abstract

In this research, students' sentiments and emotions embedded in their learning journals are analyzed to understand their attitudes to mobile-based lessons as they progress during an English as a Foreign Language (EFL) course. Sentiment Analysis (SA) was utilized to extract emotions and sentiment throughout students' learning experience, as expressed in their weekly online learner journals. The sentiment scores were generated from four sentiment dictionaries with different scales. The findings suggest that overall, the students had a positive sentiment and emotions toward mobile learning, consisting of anticipation, trust, joy, and surprise. The strongest negative emotion was fear, which may be explained by anxiety surrounding communication in a foreign language. [For the complete volume, "CALL for Widening Participation: Short Papers from EUROCALL 2020 (28th, Online, August 20-21, 2020)," see ED610330.]

Details

Language :
English
Database :
ERIC
Journal :
Research-publishing.net
Publication Type :
Conference
Accession number :
ED611125
Document Type :
Speeches/Meeting Papers<br />Reports - Research