The effectiveness of PjBL-STEM learning models in improving High school students' deep learning skills in Artificial Intelligence topics
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.
Authors
- Fatma Sukmawati (ORCID: https://orcid.org/0000-0002-8486-5137)
- Ratna Juwita (ORCID: https://orcid.org/0000-0001-8279-9757)
- Relly Prihatin (ORCID: https://orcid.org/0000-0003-4748-9942)
- Eka Budhi Santosa (ORCID: https://orcid.org/0000-0001-9623-0940)
- Budi Tri Cahyono
Institutions
- Sebelas Maret University (ID)
Publication Details
- Journal
- International Journal of Innovative Research and Scientific Studies
- Published
- 2025-06-18
- DOI
- https://doi.org/10.53894/ijirss.v8i4.7875
- Primary Topic
- Technology-Enhanced Education Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00