Factors Affecting Student Learning Outcomes in the Context of an Art and Science Program Integrated with Artificial Intelligence

• 발행기관: 한국상품학회
• 저자명: Hyoyoung Shim Yeonjoo Ko
• 간행물 정보: 『상품학연구』제42권 제5호, 53~64쪽, 전체 12쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2024.10.31

국문 초록

As artificial intelligence (AI) has been rapidly adopted in educational fields, significant efforts have been made to foster the integration of AI into K-12 educational contexts. In this study, we aimed to design and implement a science, technology, engineering, arts, and mathematics (STEAM) educational program that incorporates AI under the theme of space exploration and to examine the relationships among the factors affecting student learning outcomes. Two hundred and twenty-seven seventh graders participated in the AI-STEAM program under the theme of space exploration. Students were invited to respond to an instrument examining self-efficacy, task value, learning engagement, and several learning outcome variables. Path analysis was conducted to verify the appropriateness of the set path and to investigate the relationship between variables. The results indicate that students’ self-efficacy in learning AI had a significant direct impact on their learning engagement and an indirect impact on learning satisfaction and career aspiration to AI fields. Additionally, students’ perception of task value and learning engagement directly affected their learning satisfaction and career aspiration to AI fields. Interestingly, students’ conceptual understanding of AI was not directly or indirectly predicted by any factors. The results provide pedagogical implications for teaching practitioners in designing and implementing AI-integrated lessons in curriculums.

목차

I. Introduction

II. Literature Review

III. Methods

IV. Results

V. Discussion and Implications

Reference

키워드

artificial intelligence-based education arts-science integrated education STEAM education path analysis