ChatGPT's performance in spreadsheets modeling assessments based on revised Bloom's taxonomy
Publication Type
Conference Proceeding Article
Publication Date
12-2023
Abstract
ChatGPT has taken the education scene by storm and caused uneasiness among educators. Mixed reactions were observed with some institutions banning it, while others embracing it with caution. This paper evaluates the performance of ChatGPT on solving spreadsheets modeling assessment questions with multiple test items categorized according to the revised Bloom’s taxonomy, to discover the accuracy of the answers provided at each cognitive learning level. The insights obtained may be useful for educators to design future assessment questions which focus more on testing critical thinking skills to assess the students accordingly to achieve the intended learning outcomes, and we propose recommended actions on how to do so. Our proposed methodology can be applied to other course modules to achieve their respective insights for future assessment designs and actions.
Keywords
ChatGPT, Performance Evaluation, Spreadsheets Modeling, Assessments, Revised Bloom’s Taxonomy
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems | Higher Education
Research Areas
Data Science and Engineering
Publication
Proceedings of the 31st International Conference on Computers in Education, Matsue, Shimane, Japan, 2023 December 4-8
First Page
308
Last Page
317
ISBN
9786269689019
Publisher
Asia-Pacific Society for Computers in Education
City or Country
Japan
Citation
CHEONG, Michelle L. F..
ChatGPT's performance in spreadsheets modeling assessments based on revised Bloom's taxonomy. (2023). Proceedings of the 31st International Conference on Computers in Education, Matsue, Shimane, Japan, 2023 December 4-8. 308-317.
Available at: https://ink.library.smu.edu.sg/sis_research/8624