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.

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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
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article

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

Fatma Sukmawati, Ratna Juwita, Relly Prihatin, Eka Budhi Santosa et al.
International Journal of Innovative Research and Scientific Studies
Technology-Enhanced Education Studies
article

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

Fatma Sukmawati, Ratna Juwita, Relly Prihatin, Eka Budhi Santosa, Budi Tri Cahyono
article en

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.

International Journal of Innovative Research and Scientific StudiesVol. 8(4)
Sebelas Maret University (ID)
Quality Education
Openalex Percentile: Top 85%
Technology-Enhanced Education Studies
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