Ivan Ashif Ardhana
Institute of Science Education, University of Bremen, Germany

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AI-based Digital Mobile Technology Game-Based Learning as an Innovative Learning Strategy for Children in Disaster Education Nur Isroatul Khusna; Jani Jani; Ivan Ashif Ardhana; Rian Vebrianto; Nurhayati Nurhayati; Restu Putri Pamungkas
JETL (Journal of Education, Teaching and Learning) Vol 10, No 2 (2025): Volume 10 Number 2 September 2025
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/jetl.v10i2.9422

Abstract

Indonesia is a disaster-prone country, and children are a very vulnerable group affected by disasters. Therefore, the implementation of proper disaster education is needed. The use of innovative teaching strategies with digital mobile AI-based game-based learning technology is an important step in learning to improve cognitive, affective and psychomotor skills for responding to disasters. This research uses a mixed-methods approach, combining research and development methods to determine the effectiveness of learning models, pseudo-experimental methods to measure the influence of product use on cognitive aspects, and descriptive statistical methods to measure affective and psychomotor aspects. Analysis in RnD using the ADDIE method, experimental analysis using homogeneity test, normality test, and t-test with SPSS 21 for Windows, overall relationship analysis using the MAXQDA sub-code system, and Gephi 0.9.2 network analysis. The results of the study showed a significant and positive influence of the use of digital mobile AI-based game learning technology on the cognitive, affective, and psychomotor aspects of students in disaster mitigation materials for children.