Date
Publisher
npj Science of Learning
This systematic review explores the burgeoning intersection of Artificial Intelligence (AI) applications and self-regulated learning (SRL) in higher education. Aiming to synthesize empirical studies, we employed a qualitative approach to scrutinize AI ïs role in supporting SRL processes. Through a meticulous selection process adhering to PRISMA guidelines, we identified 14 distinct studies that leveraged AI applications, including chatbots, adaptive feedback systems, serious games, and e-textbooks, to support student autonomy. Our findings reveal a nuanced landscape where AI demonstrates potential in facilitating SRLs forethought, performance, and reflection phases, yet also highlights whether the agency is human-centered or AI-centered leading to variations in the SRL model. This review underscores the imperative for balanced AI integration, ensuring technological advantages are harnessed without undermining student self-efficacy. The implications suggest a future where AI is a thoughtfully woven thread in the SRL fabric of higher education, calling for further research to optimize this synergy.
Study at a glance
- Question: How does artificial intelligence support students' self-regulated learning in higher education?
- Setting and data: Higher education, examining 14 studies of AI tools including chatbots, adaptive feedback systems, serious games, and e-textbooks.
- Method: Literature review (qualitative systematic review adhering to PRISMA guidelines).
Why it matters
With the burgeoning intersection of artificial intelligence applications and self-regulated learning in higher education, empirical studies require synthesis to scrutinize AI’s role in supporting learning processes and student autonomy.
Key findings
- In higher education across 14 studies reviewed, AI tools showed potential to support students' forethought, performance, and reflection phases of self-regulated learning.
- Across the studies reviewed, whether agency remained human-centered or became AI-centered led to distinct variations in self-regulated learning models.
- Across the studies reviewed, AI applications including chatbots, adaptive feedback systems, serious games, and digital textbooks supported student autonomy.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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