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AI performance assessment in blended learning: mechanisms and effects on students' continuous learning motivation
Hao Ji1, Lingling Suo1, Hua Chen1
1Management College, Beijing Union University, Beijing, China.
Frontiers in Psychology
|December 31, 2024
Summary
AI performance assessment in blended learning enhances student motivation indirectly through expectation confirmation, perceived usefulness, and satisfaction. This research offers strategies to optimize AI assessment for continuous learning engagement.
Area of Science:
- Educational Technology
- Artificial Intelligence in Education
- Higher Education Pedagogy
Background:
- Blended learning integrates online and offline methods, offering advantages but posing challenges in sustaining student motivation.
- Maintaining continuous learning motivation is crucial for student success in higher education's evolving pedagogical landscape.
Purpose of the Study:
- To investigate the influence of Artificial Intelligence (AI) performance assessment on student motivation within blended learning environments.
- To explore the mediating factors through which AI performance assessment impacts continuous learning motivation.
Main Methods:
- Utilized questionnaire surveys to gather data from students in blended learning settings.
- Employed structural equation modeling (SEM) to analyze the relationships between AI performance assessment, mediating factors, and continuous learning motivation.
Main Results:
- AI performance assessment positively impacts continuous learning motivation indirectly via expectation confirmation, perceived usefulness, and learning satisfaction.
- A direct relationship between AI performance assessment and continuous learning motivation was not found.
Conclusions:
- AI performance assessment can be a valuable tool for enhancing student motivation in blended learning, but its effectiveness is mediated by other factors.
- Recommendations include optimizing AI systems with diverse metrics, personalized feedback, and improved usability to maximize impact on student engagement.
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