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Generative AI in STEM Projects to Develop Analytical Thinking and Problem-Solving (104241)

Session Information:

Saturday, 9 May 2026 15:45
Session: Poster Session
Room: Hall B5 Foyer
Presentation Type: Poster Presentation

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

This research investigated the integration of Generative AI (GenAI) in STEM project-based learning for 22 9th-grade students. The study aimed to develop usage guidelines, measure effects on analytical thinking and problem-solving, and create an instructional model.

Findings revealed that all students (100%) used GenAI for project development, reporting high satisfaction (4.67 average) due to its ease of use. GenAI assisted in all project stages—from problem analysis to presentation—by aiding information retrieval, design, coding, and complex problem-solving. A key limitation identified by students was the need to verify GenAI's information for accuracy.

The study confirmed GenAI's positive impact: students' post-instruction analytical thinking and problem-solving skills were significantly higher than pre-instruction (at the .05 statistical level).

Furthermore, a five-stage instructional model (problem identification, planning, execution, artifact creation, presentation) using GenAI as a supporting tool was developed. Experts evaluated this model, which targets analytical skills and teamwork, as highly appropriate (4.36 average).

Authors:
Thaweesin Amnuaiphanwilai, Naresuan University, Thailand
Wanchalearm Junsong, Naresuan University, Thailand


About the Presenter(s)
Dr. Thaweesin Amnuaiphanwilai is a teacher of Naresuan University Secondary Demonstration School in Phitsanulok province, Thailand.

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Posted by James Alexander Gordon

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