Data-Driven Curriculum Design in Creative Tech Education Using Student Interaction Analysis

Creative technology domains such as animation, UI/UX design, and visual effects (VFX) are evolving at a rapid pace, often outstripping the adaptability of conventional academic curricula. This research explores a data-centric strategy for designing curricula by analyzing how students interact with digital learning environments. Through the systematic collection and evaluation of metrics—such as participation levels, project completion rates, attendance records, learner feedback, and performance assessments—we uncover patterns that reveal students’ strengths, challenges, and areas of interest. The goal is to reduce the disconnect between academic content and real-world industry needs by leveraging these behavioral insights to refine instructional material, sequencing, and delivery approaches. This model supports greater student involvement and success, while ensuring that educational programs remain current, flexible, and closely aligned with professional standards. The study highlights how educational data analytics can play a transformative role in continuously evolving creative technology education.