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

Author

Listed:
  • Relly Prihatin
  • Fatma Sukmawati
  • Eka Budhi Santosa
  • Budi Tri Cahyono
  • Ratna Juwita

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.

Suggested Citation

  • Relly Prihatin & Fatma Sukmawati & Eka Budhi Santosa & Budi Tri Cahyono & Ratna Juwita, 2025. "The effectiveness of PjBL-STEM learning models in improving High school students' deep learning skills in Artificial Intelligence topics," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(4), pages 484-490.
  • Handle: RePEc:aac:ijirss:v:8:y:2025:i:4:p:484-490:id:7875
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