Developing a Deep Learning–Based Digital Learning Module for Dance in Cultural Arts Education

Nurul Azizah Asri 1 Indonesia , Syakhruni Syakhruni 1 Indonesia , Nurwahidah Nurwahidah 1 Indonesia
1 Department of Arts Education, Graduate Program, Universitas Negeri Makassar
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Published 2026-08-01
Vol. 5 No. 4 (2026) PAGES 2611-2623
DOI 10.51574/ijrer.v5i4.5336
Views / Downloads 75 21

Integrating digital technology into cultural arts education presents a persistent pedagogical challenge, particularly in fostering deep, meaningful student engagement while safeguarding intangible cultural heritage. This study developed, validated, and evaluated an interactive digital learning module grounded in a deep learning pedagogical approach—characterized by mindful, meaningful, and joyful learning—centered on the Pakkarena Anida traditional dance of South Sulawesi. Conducted with tenth-grade students at High Secondary School 25 Makassar, the research utilized a Research and Development (R&D) design integrating the ADDIE and 4D instructional models across six distinct phases: analysis, design, development, implementation, evaluation, and dissemination. Authored via Canva and delivered as a cross-platform digital flipbook, the module incorporated multimodal content, including embedded instructional videos, structural movement breakdowns, and formative self-assessments. Expert validations established high feasibility for classroom instruction, while small- and large-scale field tests yielded "good" to "excellent" ratings across content depth, linguistic clarity, interface design, and pedagogical utility. Implementation yielded substantial academic gains: mean cognitive scores rose from 52 to 85, and psychomotor scores increased from 40 to 78, reflecting medium-to-high normalized gains. Beyond quantitative performance, the module enhanced student engagement, collaborative synergy, creative expression, and performance confidence in choreographing contemporary works rooted in tradition. These findings demonstrate that deep-learning-driven digital modules effectively optimize cultural arts education, providing a scalable, innovative framework that bridges cultural preservation with contemporary educational technology.

Asri, N. A., Syakhruni, S., & Nurwahidah, N. (2026). Developing a Deep Learning–Based Digital Learning Module for Dance in Cultural Arts Education . ETDC: Indonesian Journal of Research and Educational Review , 5(4), 2611–2623. https://doi.org/10.51574/ijrer.v5i4.5336
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Keywords
Cultural Arts Education Digital Learning Module Deep Learning Pakkarena Anida Dance Research And Development