Leveraging AI for Concept Mapping: Effects on Motivation and Achievement in High School Biology Students on the Topic of Cellular Respiration (88166)

Session Information: The Teaching of Biology
Session Chair: Leemarc Alia

Wednesday, 27 November 2024 16:45
Session: Session 5
Room: Room 607 (6F)
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

The emerging of artificial intelligence (AI) in education tools creates a new phenomenon in the teaching and learning strategies with propositional of students learning and engagement. This concept paper will become a baseline for the research to investigate how the use of AI for concept mapping will affect students’ understanding of biological concepts, which are in the topic of Cellular Respiration, and their motivation to learn. Biology is one of the conceptual-based subjects that requires students to connect the facts being learned. With the use of AI tools, this intervention aims to help teachers change the traditional class setting into active learning methodologies, in which teacher act as facilitators in promoting students to develop their digital concept maps. This study will employ a quasi-experimental, quantitative pre and post-test methodology to access the relationship between the use of AI-based concept mapping and changes in motivation and learning achievement using the Motivated Strategies for Learning Questionnaire (MSLQ) and test performance. From the study, it is expected that the use of AI for concept mapping will result in improved academic performance and student motivations. These findings could inform teachers and educational policymakers about the best practices of instructional strategies to enhance students motivation and achievement in biology education. Hence, this intervention hopes it will improve students understanding of the concepts in biology and Cellular Respiration specifically and give them the ability to apply the knowledge in their educational journey and in life.

Authors:
Norhikma Baharom Ulom, University of Malaya, Malaysia
Hidayah Mohd Fadzil, University of Malaya, Malaysia


About the Presenter(s)
Norhikma Baharom Ulom is a master’s student at the University of Malaya, Malaysia, majoring in Science and Mathematics Education. Her academic focus lies in the integration of artificial intelligence (AI) in high school science and STEM education.

Connect on ResearchGate
https://www.researchgate.net/profile/Norhikma-Baharom-Ulom

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00