Potential for Game-based Assessment of Creativity using Biometric and Real-time Data

• 발행기관: 한국교원대학교 뇌·AI기반교육연구소
• 저자명: Suna Ryu Dagun Lee Beomjun Han
• 간행물 정보: 『Brain, Digital, & Learning』제14권 제2호, 141~165쪽, 전체 25쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2024.06.30

국문 초록

This study explores the development of a game-based creativity assessment model using biometric and real-time data. By integrating game learning analytics (GLA) with neuroscience approaches such as functional near-infrared spectroscopy (fNIRS), the goal of this research is to provide a comprehensive, process-oriented approach to creativity. The study emphasizes the importance of social and affective dimensions of creativity, moving beyond traditional cognitive-focused models. By analyzing log data, social network interactions, and biometric feedback, the study highlights how these dimensions influence creative outcomes. The results demonstrate the effectiveness of using GLA to provide personalized and adaptive feedback, fostering a deeper understanding of creative processes and improving educational practices.

목차

Introduction

Theoretical Background

Methods

Data Analysis

Results

Discussion

Conclusion

키워드

Game based assessment log data analysis neuroscientific approaches fNIRS social affective creativity