Development of a Hybrid Experiential Learning Model with Real-Time AI Feedback for Videography-Based Entrepreneurship Education

Abdul Rahman Prasetyo, Trisakti Trisakti, Iriaji Iriaji

Abstract


In the era of Society 5.0, the integration of Artificial Intelligence (AI) into hybrid learning models is essential to enhance students' entrepreneurship competencies, especially in arts education. Videography, a crucial course within the Visual Arts Education program at Universitas Negeri Malang, faces several challenges such as limited feedback in scriptwriting, constrained practical sessions, and inadequate access to advanced equipment. To address these issues, this study aims to develop an innovative hybrid learning model based on the experiential flipped classroom, integrated with real-time AI feedback assistance. The research employs the ADDIE development framework and Borg & Gall’s ten-step model to ensure model validity, effectiveness, and practicality. Quantitative data were collected through surveys and pre-post tests, while qualitative data were obtained from interviews and observations. The final product is a digitally integrated learning platform featuring AI-assisted assessment tools designed to accelerate students’ video production skills and entrepreneurial mindset. The study successfully developed a validated and effective instructional model, significantly enhancing students’ learning engagement and production outcomes in videography education.

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