ArticleInternational journal of educational technology in higher education2023
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course.
Article in International journal of educational technology in higher education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Enhancing Higher-Order Cognitive Abilities Through AI-Powered Smart Assistants: Implications for Digital Entrepreneurship and Future Problem-Solving in Higher Education.Journal of Intelligence · 2026Article
- Research on factors influencing teaching staff's continued use intention of AIGC tools: based on structural equation modeling and artificial neural networks.Scientific reports · 2026Article
- How the digital literacy level of teachers affects student well-being: a configuration analysis approach based on fsQCA.Frontiers in public health · 2026Article
- Trust, ethical, and learning impact of artificial intelligence feedback in English education.Frontiers in psychology · 2026Article
- Application effect and teaching evaluation of case-based learning combined with ChatGPT in ophthalmology clinical teaching.Frontiers in medicine · 2026Article
- Validating an AI-assisted comentoring model for identifying at-risk students and for academic mentoring: a study protocol.Frontiers in digital health · 2026Article
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- A student academic performance prediction model based on the interval belief rule base.Scientific reports · 2025Article
- The combined impact of AI and VR on interdisciplinary learning and patient safety in healthcare education: a narrative review.BMC medical education · 2025Review
- Employing artificial bee and ant colony optimization in machine learning techniques as a cognitive neuroscience tool.Scientific reports · 2025Article
- An AI-powered framework for assessing teacher performance in classroom interactions: a deep learning approach.Frontiers in artificial intelligence · 2025Article
- The impact of Chinese undergraduates' perceived acceptance of AI technology on academic achievement: the mediating role of critical thinking.Frontiers in psychology · 2025Article
- The virtual assessment in dental education: A narrative review.Journal of dental sciences · 2024Review
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- Analyzing Preceding factors affecting behavioral intention on communicational artificial intelligence as an educational tool.Heliyon · 2024Article
Corrections and comments
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI prediction models focus on the development and optimization of the accuracy of AI algorithms rather than applying AI models to provide student with in-time and continuous feedback and improve the students' learning quality. To fill this gap, this research integrated an AI performance prediction model with learning analytics approaches with a goal to improve student learning effects in a collaborative learning context. Quasi-experimental research was conducted in an online engineering course to examine the differences of students' collaborative learning effect with and without the support of the integrated approach. Results showed that the integrated approach increased student engagement, improved collaborative learning performances, and strengthen student satisfactions about learning. This research made contributions to proposing an integrated approach of AI models and learning analytics (LA) feedback and providing paradigmatic implications for future development of AI-driven learning analytics.
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Registered trials
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