Download This PaperDelving the Sentiments to Track Emotions in Gender Issues: A Plutchik-Based Sentiment Analysis in Students’ Learning Diaries
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 8(12). pp. 1134 - 1139 (2019)
6 Pages Posted: 10 Mar 2021
Date Written: December 15, 2019
Abstract
Several emotional obstacles are known to obstruct learner’s academic development, however, learners will be able to accomplish well if they feel positive emotions towards a lesson. This research aimed to explore the views of students towards gender issues based on the learning diaries of the students. The students are required to write their reactions to the topics discussed, their feelings and other thoughts that relate to the topic. This study used the sequential exploratory design utilizing content and sentiment analysis. The use of sentiment analysis was to extract emotions from the students’ learning diaries based on Plutchik’s eight-wheel of emotions. Fifteen diaries selected based on the contents that fit on the rubrics. The results revealed various emotions expressed in the students’ learning diaries over time such as joy, trust, anger, sadness, and fear. There has been a major shift of emotions throughout the the period, from positive to negative emotions. It was found out that the emotions of the students expressed during classroom discussions were influenced by the topic and will depend on the teaching strategy. Overall, this study will improve the teaching and learning in the classroom by analyzing the sentiments, emotions in students’ learning diaries to help administrators especially teachers address problems and take corrective actions.
Keywords: Discrimination, Gender, Learning, Sentiment Analysis, Sex, Social Studies, Teaching, Text Mining, Violence
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