Đề xuất mô hình học tập D-STEM nhằm hỗ trợ tự nhận diện kĩ thuật bóng chuyền bằng dữ liệu số
Tóm tắt
Digital transformation is creating new opportunities for innovation in physical education through the application of digital data, motion analysis, and artificial intelligence. This study employed a quantitative descriptive approach to evaluate 67 students’ digital competence readiness and propose a D-STEM learning model to support self-recognition of volleyball techniques using digital data. The findings indicate that most students have a high level of access to digital technologies but remain limited in data utilization and the use of motion analysis tools. Based on these results, a seven-step D-STEM model grounded in the Engineering Design Process (EDP) was developed, integrating the Digital component into STEM through video-based volleyball technique analysis. The proposed model is expected to partially support the cultivation of digital competence, guide data-driven thinking, and students’ ability to identify technical movement errors, while providing a foundation for implementing smart physical education.
Tài liệu tham khảo
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