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

Year: 2025

Type: article

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.

Source: International Journal of Innovative Research and Scientific Studies

DOI: 10.53894/ijirss.v8i4.7875

Authors: Relly Prihatin, Fatma Sukmawati, Eka Budhi Santosa, Budi Tri Cahyono, Ratna Juwita

Institution: Sebelas Maret University

Language: English

Topic: Problem and Project Based Learning

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4411456455

FWCI: 3.241

Cites:

Cited by: 1

Related to: 10