Jialin Lyu, Yijia Tang, Huijuan Ren
tlooto Summary
An AI-enhanced design thinking framework is proposed to improve knowledge creation and transfer in digital media education and demonstrates how AI-driven methods can structure knowledge capture, transfer, and application in higher education.
Abstract
This study proposes an AI-enhanced design thinking framework to improve knowledge creation and transfer in digital media education. As generative AI transforms creative practices, traditional instruction lacks adaptability and personalization. By integrating AI tools like large language models into design thinking, the framework enables dynamic knowledge construction, iterative prototyping, and intelligent feedback. It supports adaptive knowledge management systems in education, enhancing curriculum flexibility and teaching efficiency. Empirical results show improved knowledge sharing, reuse of learning artifacts, and higher learner satisfaction. Aligning AI with human-centered design fosters cognitive engagement and collaboration. Findings highlight AI's role as a cognitive and collaborative enabler in pedagogy. This research contributes to knowledge management by demonstrating how AI-driven methods can structure knowledge capture, transfer, and application in higher education. The framework offers a model for AI-integrated, learner-centered curriculum innovation.
Citation format
LYU, Jialin; TANG, Yijia; REN, Huijuan. An AI-Enhanced design thinking framework for knowledge creation and transfer in digital media education. International Journal of Knowledge Management, 2026, 22(1): 1–17.