The effects of human-technology interaction on engineering students’ learning outcomes: A multilevel meta-analysis

• In Event: AI-Enhanced Student Learning Outcomes

Abstract

Human-Technology Interaction (HTI), enabled by advanced technologies, is increasingly applied in engineering education to enhance teaching and learning outcomes. However, its effectiveness in improving academic performance and learning abilities remains debatable due to mixed empirical results, with limited comprehensive evidence on its overall impact and influencing factors. This study conducted a multilevel meta-analysis of 46 effect sizes from 22 studies (2015–2024) to evaluate HTI’s effectiveness in higher engineering education, examining moderators like technology type, input devices, and interfaces. Results showed HTI significantly improved domain knowledge, practical skills, teamwork, and problem-solving. Technology type and input device significantly moderated effectiveness. The study offers implications for future research and practice.

Authors

• YING LIANG, 浙江大学

• Yan Li, Zhejiang University