Lingyun Huang

University of Hong Kong

Papers

1

Total Citations

4

H-Index

1

About

Lingyun Huang is a researcher whose work lies at the intersection of instructional design, technology-enhanced learning, and vocational education. Their most cited paper, "Integrating 4C/ID model into computer-supported formative assessment system to improve the effectiveness of complex skills training for vocational education" (2024), has already garnered 4 citations, signaling early impact in a critical area. Huang’s major contribution is the innovative fusion of the Four-Component Instructional Design (4C/ID) model with a computer-supported formative assessment system, addressing a persistent challenge in vocational training: how to effectively scaffold complex skill acquisition. By designing a system that provides real-time, adaptive feedback aligned with the 4C/ID framework, Huang’s work offers a practical, scalable solution for educators and trainers. This approach not only enhances learning outcomes but also bridges the gap between theoretical instructional models and real-world, technology-driven classrooms. Huang’s research is particularly notable for its applied focus, directly tackling the needs of vocational learners who require hands-on, iterative skill development. As their work gains traction, it promises to influence both instructional design theory and the development of next-generation assessment tools for technical education.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Integrating 4C/ID model into computer- supported formative assessment system to improve the effectiveness of complex skills training for vocational education
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Hong Kong

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago