Frontiers in Educational Research, 2025, 8(8); doi: 10.25236/FER.2025.080804.
Zhao Haomin1, Xu Dan2
1Modern Information Industry Department, Guangzhou College of Commerce, Guangzhou, China
2Department of Information Technology and Engineering, Guangzhou College of Commerce, Guangzhou, China
Guided by cognitive load theory, this paper proposes a hierarchical teaching design scheme for the difficulties of nonlinear structure teaching in data structure courses. By analyzing the teaching characteristics of nonlinear structure and students' cognitive differences, this paper aims to reduce students' cognitive load and improve teaching effectiveness from four dimensions: teaching objectives, teaching content, teaching methods and teaching evaluation. Practice shows that the teaching design can effectively improve the learning interest and performance of students at different levels, and provide a reference for the teaching reform of data structure courses.
Cognitive Load Theory; Data Structure; Layered Teaching Design; Nonlinear Structures
Zhao Haomin, Xu Dan. Hierarchical Instructional Design for Data Structures Based on Cognitive Load Theory: A Case Study of Non-Linear Structures. Frontiers in Educational Research (2025), Vol. 8, Issue 8: 20-24. https://doi.org/10.25236/FER.2025.080804.
[1] Ding Y ,Wang Q ,Liu D R , et al. Working Memory Load, Automaticity, and Problem Solving in College Engineering Students: Two Applications[J].SAGE Open,2024,14(4).
[2] Gao X, Li F. An analysis on the application of flipped classroom under cognitive load theory[J]. International Journal of New Developments in Education,2024,6(9).
[3] F. D F ,Rebecca B ,Kaylee L .Direct effects of cognitive load on self-efficacy during instruction.[J]. Journal of Educational Psychology, 2024, 116(7):1153-1171.
[4] Zou L ,Zhang Z ,Mavilidi M , et al. The synergy of embodied cognition and cognitive load theory for optimized learning[J]. Nature Human Behaviour,2025,9(5):1-9.
[5] Ngu H B , Phan P H . Instructional approach and acquisition of mathematical proficiency: Theoretical insights from learning by comparison and cognitive load theory[J]. Asian Journal for Mathematics Education,2024,3(3):357-379.