AI-PBL Framework: Innovative Problem Based Learning Model Supported by Artificial Intelligence Technology
DOI:
https://doi.org/10.56294/dm20251116Keywords:
Model Development, Problem Based Learning, Artificial Intelligent, ADDIEAbstract
Introduction: This study aims to develop a Problem-Based Learning (PBL) framework integrated with Artificial Intelligence (AI) technology to enhance the critical thinking skills of students in the Mechanical Engineering Study Program at Padang State University (UNP).
Methods: A developmental research methodology based on the ADDIE framework was implemented in this study. The subjects involved were students enrolled in the Mechanical Engineering Department at UNP.
Results: Validation results from seven experts indicated that the developed product falls into the valid category. In addition, the practicality test involving two lecturers and ten students yielded a score of 80.99%, placing it in the "highly practical" category. Regarding effectiveness, the t-test produced a value of 0.000, which is less than 0.05, indicating a statistically significant difference between the experimental and control groups.
Conclusion: Based on the findings from the validation, practicality, and effectiveness assessments, the AI-supported PBL model is considered valid, highly practical, and effective in enhancing the critical thinking abilities of Mechanical Engineering students at UNP.
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Copyright (c) 2025 Budi Syahri, Syahril, Refdinal, Eko Indrawan, Afriza Media, Rifelino (Author)
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