P072 Transforming Culture-Based Learning in the AI Era: Virtual Reality-Assisted ETHNO-STREAM Design to Strengthen Science Literacy and Religious Understanding
Abstract
The transformation of technology and artificial intelligence demands educational innovation that integrates science, culture, technology, and religious values. This study aims to develop an integrated inquiry model ETHNO-STREAM (Ethno-Science, Technology, Religion, Engineering, Art, and Mathematics) assisted by Virtual Reality (VR) oriented towards SDGs to improve students' scientific literacy and religious understanding. The study uses an explanatory mixed method approach through exploration of local wisdom, prototype development, expert validation, practicality testing, and effectiveness testing. The exploration results indicate that Javanese, Balinese, and Lombok gamelan have the potential to become an interdisciplinary learning context that integrates scientific knowledge, technology, religious values, art, and culture. The model obtained an average validity score of 3.65 with a very valid category and a practicality score of 3.60 with a practical category. The effectiveness test through implementation on PGMI students showed a dominant response of agree and strongly agree above 70% in most indicators. This model is able to increase engagement, motivation, creativity, critical thinking skills, understanding of religious values through local culture, appreciation of diversity, and the ability to integrate science, technology, and Islamic teachings. The use of VR also creates a more immersive, contextual, interactive, and collaborative learning experience. The VR-assisted ETHNO-STREAM model developed in this study is valid, practical, and effective as a transformative learning innovation to support SDGs 4, SDG 11, and SDG 16 while strengthening scientific literacy, religious understanding, cultural sustainability, and religious harmony in the era of technology and AI.
