대학 교수자의 생성형 AI 활용을 위한 AI-TPACK 기반 수업설계 연구

Abstract

Purpose: This study aims to develop an instructional design plan that enhances instrutors’ AI literacy and supports the integration of generative AI into classrooms in higher education in response to the evolving demands of the AI era. Design/methodology/data/approach: Based on the AI-TPACK (Technological Pedagogical Content Knowledge) framework, the study proposes a six-stage instructional design model. Using a Design and Development Research (DDR) methodology, the study involves literature review, instructional design, expert review, and iterative revisions to produce the final instructional plan. Findings/Results: The finalized instructional design systematically incorporates the seven components of AI-TPACK and presents step-by-step teaching strategies, including AI utilization techniques, p rompt design a nd a pplication, a nd r ef lection and f eedback processes. E xpert validation indicates the theoretical coherence and practical applicability of the design. Value: This study offers a meaningful direction for transforming teaching and learning paradigms in higher education in the age of AI. It demonstrates that generative AI can function as an educational support tool to foster instructors' creative and critical thinking. Furthermore, this study calls for future research on the effectiveness and scalability of AI-TPACK-based instructional design in university education.