Establishing a Five-Stages of AI Learning Based on Class Observation

• Published in: International JOURNAL OF CONTENTS Vol. 20; no. 2; pp. 1 - 7
• Main Authors: Kiaer, Jieun, Jeon, Young-Joo
• Format: Journal Article
• Language: English
• Published: 한국콘텐츠학회(IJOC) 30.06.2024; 한국콘텐츠학회
• Subjects: 컴퓨터학; Artificial intelligence (AI); stages of AI learning; IDLE; AI utilization in education; AI-driven language education; AI/digital competency; AI-embedded English education; class observation
• ISSN: 1738-6764; 2093-7504; 2093-7504
• DOI: 10.5392/IJoC.2024.20.2.001

This paper presents a five-stage framework for AI learning based on classroom observations. It defines the stages and explores how teachers and students develop confidence in utilizing various AI tools, acknowledging both their constructive advantages and potential risks. The study emphasizes the transformative influence of integrating AI into the dynamics of learning and teacher-student relationships, fostering a more interactive educational environment. Through case studies conducted in South Korean classrooms, this research offers practical steps and considerations for educators and administrators to successfully integrate AI technologies, with the aim of enhancing digital and AI competencies in education. The findings highlight the significance of adopting a comprehensive approach to AI-integrated instruction, taking into account factors such as educational level, subject, and students' preparedness. This framework is designed to provide guidance for the effective utilization of AI in educational settings, supporting the objective of promoting AI literacy and closing educational gaps. KCI Citation Count: 0