Innovative and effective spreadsheet tool for learning sentiment analysis and prediction
Publication Type
Conference Proceeding Article
Publication Date
12-2022
Abstract
In this paper, we describe a spreadsheet tool which was developed and implemented to teach sentiment analysis and prediction to university students who are less technically inclined. We adopted the “Use-Modify-Create” cycle to ensure that the students learn the computing concepts and practices in a progressive and active learning manner, and we evaluated the effectiveness of the tool using the Learning Object Evaluation Scale for Students (LOES-S). The evaluation shows that our tool performed well in terms of quality, learn and engagement constructs, and our paired T-test shows strong evidence that, on average, the course module with the tool does lead to improvement in the students’ knowledge in sentiment analysis and prediction.
Keywords
Sentiment analysis and prediction, spreadsheet tool, less technically inclined students
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Proceedings of the 30th International Conference on Computers in Education (ICCE 2022), Kuala Lumpur, November 28 - December 2
First Page
262
Last Page
267
Publisher
Asia-Pacific Society for Computers in Education
City or Country
Taiwan
Citation
CHEONG, Michelle L. F. and CHEN, Yun-Chen.
Innovative and effective spreadsheet tool for learning sentiment analysis and prediction. (2022). Proceedings of the 30th International Conference on Computers in Education (ICCE 2022), Kuala Lumpur, November 28 - December 2. 262-267.
Available at: https://ink.library.smu.edu.sg/sis_research/7594