A FUZZY ANP-TOPSIS FRAMEWORK FOR DESIGNING CORE COMPETENCY-DRIVEN PHYSICAL EDUCATION CURRICULA IN HIGHER EDUCATION

Abstract

This study proposes a Fuzzy Analytic Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) framework to design core competency-driven physical education (PE) curricula in higher education. Drawing on smart physical education principles and literacy-oriented MAPS (Motivation, Autonomy, Participation, Skill) strategies, the framework evaluates and prioritizes curriculum components fostering competencies like motor skills, critical thinking, teamwork, and self-regulated learning (SRL). Conducted in 2025 at a Chinese university, the study employed a mixed-methods approach with 80 students from sports science and general education programs. Quantitative competency assessments and qualitative reflections on human-computer interactive tools revealed significant improvements in engagement, skill mastery, and autonomy. The Fuzzy ANP-TOPSIS model effectively identified optimal curriculum designs, emphasizing technology integration and competency alignment. These findings suggest the framework can transform university PE, aligning curricula with industry and societal needs, offering a scalable model for global higher education institutions.