The effectiveness of PjBL-STEM learning models in improving High school students' deep learning skills in Artificial Intelligence topics

Relly Prihatin (), Fatma Sukmawati (), Eka Budhi Santosa (), Budi Tri Cahyono () and Ratna Juwita ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 4, 484-490

Abstract: This study investigates the role of Project-Based Learning integrated with Science, Technology, Engineering, and Mathematics (PjBL-STEM) models in enhancing high school students’ deep learning skills within the domain of Artificial Intelligence (AI). As AI becomes increasingly ingrained in our society, fostering a deep understanding among students is critical. Traditional teaching methods often emphasize rote memorization, which may not sufficiently develop higher-order thinking skills. Conversely, PjBL-STEM promotes active learning, problem-solving, creativity, and collaboration, which are key attributes of deep learning. This paper explores theoretical foundations, reviews relevant literature, discusses implementation strategies, and analyzes empirical evidence, ultimately demonstrating that PjBL-STEM significantly enhances deep learning in AI topics at the high school level.

Keywords: PjBL; STEM; Deep learning; Artificial Intelligence. (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:aac:ijirss:v:8:y:2025:i:4:p:484-490:id:7875

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