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

This document is currently not available here.

Share

COinS