 AI-PBL Framework: Innovative Problem Based Learning Model Supported by Artificial Intelligence TechnologyBudi Syahri, Syahril Syahril, Refdinal Refdinal, Eko Indrawan, Afriza Media and Rifelino Rifelino Data and Metadata, 2025, vol. 4, 1116 Abstract: 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. Date: 2025 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:4:y:2025:i::p:1116:id:1056294dm20251116 DOI: 10.56294/dm20251116 Access Statistics for this article More articles in Data and Metadata from AG Editor |
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