Research on Interface Design Optimization of Online Learning Platforms for Universities Based on Cognitive Load Theory

Authors

  • Zhiqun Ren Graduate School, City University Malaysia, 46100 Petaling Jaya, Selangor, Malaysia Author
  • Ahmadrashidi Bin Hasan Graduate School, City University Malaysia, 46100 Petaling Jaya, Selangor, Malaysia Author

DOI:

https://doi.org/10.71465/fair638

Keywords:

Cognitive load, university learning platform, interface design, learning efficiency

Abstract

Against the backdrop of deepening digital transformation in education, online teaching platforms have gradually become an important carrier connecting online and offline teaching. The interface design of university learning platforms significantly influences the distribution and regulation of cognitive load during the learning process, thus having a significant impact on learning efficiency and effectiveness. This paper, based on cognitive load theory, studies the interface design of university learning platforms. It analyzes the key design aspects affecting students' cognitive load, as well as the shortcomings of current interface design, explores the intrinsic relationship between interface characteristics and cognitive load, and proposes corresponding optimization strategies, providing theoretical and practical references for the optimization and upgrading of university learning platforms.

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Published

2026-02-09