How Generative AI Influences Students’ Self-Regulated Learning and Critical Thinking Skills? A Systematic Review
Open accessAbstract
Generative artificial intelligence (AI), particularly tools such as ChatGPT, is transforming education by enhancing self-regulated learning (SRL) and critical thinking skills, two essential competencies in the digital era. This study systematically analyzes the impact of generative AI on these skills using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework to identify, evaluate, and synthesize relevant studies. Document searches were conducted in Scopus, Web of Science, and ScienceDirect, focusing on publications from 2022 to 2024, when ChatGPT was first widely adopted. Of the 3,214 documents identified, 557 met the initial screening criteria, and 38 studies were selected for detailed analysis. The findings reveal that 71.4% of studies reported AI’s positive role in SRL, mainly through personalized learning, metacognitive support, and adaptive feedback. Likewise, 62.5% of studies reported its significant role in critical thinking, supporting the process of analysis, evaluation, and reflection. However, researchers cautioned against an overreliance on technology, which one said could take away some students’ ability to think for themselves. Such findings indicate that educational institutions need to change their ways and include generative AI in a model that focuses on areas that foster learner independence. This approach will assist teachers and decision-makers in harnessing the distinctive kitsch of AI technology by creating new learning spaces that are creative and future-oriented.
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Sardi et al.'s review primarily treated CT as a secondary outcome linked to SRL metrics.
“it primarily treated CT as a secondary outcome linked to SRL metrics.”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
The study-selection passage (page not available in our copy) calls SRL and CT “two primary themes,” rather than making CT secondary to SRL. The Results section reports their findings separately, and the study table lists more CT publications (24) than SRL publications (14). The copy does not describe CT as an outcome linked to SRL metrics. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredSardi et al.'s review has a methodological limitation of reliance on only three databases, which increases the risk of omitting relevant studies from broader interdisciplinary venues.
“A methodological limitation of this review is its reliance on only three databases, which increases the risk of omitting relevant studies from broader interdisciplinary venues such as ERIC, PsycINFO, or IEEE Xplore.”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
The Materials and Methods section states that the review searched three databases: Scopus, Web of Science, and ScienceDirect. Our copy does not state that this choice increased the risk of omitting studies from broader interdisciplinary venues; that is the citing author's methodological assessment, not a finding reported by Sardi et al. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSardi et al. stopped short of embedding these insights within an established CT theory.
“but stopped short of embedding these insights within an established CT theory.”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
The Results report findings about generative AI and critical thinking, including positive, neutral, and negative effects. The Introduction and Discussion passages do not establish whether the review embeds those findings within an established critical-thinking theory; not finding one in the retrieved passages cannot verify that it stopped short of doing so. (LLM, conf=0.72)
Experimental — accuracy not yet measuredSardi et al. noted persistent risks of overreliance on AI, cultural and digital-literacy variability, and the absence of concrete models for integrating human and AI regulation.
“They noted persistent risks of overreliance on AI, cultural and digital-literacy variability, and the absence of concrete models for integrating human and AI regulation”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
The Discussion (page unavailable) warns that excessive AI dependence can hinder independent problem-solving, while the Conclusion (page unavailable) calls for equitable access across cultural contexts and support for digital literacy. But the Discussion describes a Hybrid Human-AI Regulation framework; it does not support the claimed absence of a model for integrating human and AI regulation. (LLM, conf=0.87)
Experimental — accuracy not yet measuredSardi et al.'s search strategy relied on generic terms such as 'AI AND Critical Thinking AND Education', which might have missed studies using alternative terminology and thereby underrepresents the CT literature.
“In addition, their search strategy, although transparent, relied on generic terms such as”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
Table 1 lists “AI AND Critical Thinking AND Education” as a search combination, and Materials and Methods describes the keywords and Boolean operators used. The paper does not say that alternative terminology caused studies to be missed or that the CT literature was underrepresented; those are the citing authors’ possible limitations, not findings established by this source. (LLM, conf=0.86)
Experimental — accuracy not yet measured
The medical education literature describes substantial potential benefits from GenAI, including 24/7 tutoring, personalised feedback, test generation, writing assistance, and support for self-regulated learning.
“The medical education literature describes substantial potential benefits from GenAI, including 24/7 tutoring, personalised feedback, test generation, writing assistance, and support for self-regulated learning (Mulaudzi & Hamilton, 2025; Sardi et al., 2025).”
From Between Co-Intelligence and Cognitive Offloading: Educators’ Perspectives from Dutch Academic Medical Settings on Generative AI, Critical Thinking, and Adult Professional Learning (2026) · cites this paper as Sardi et al., 2025
The Introduction and Discussion describe instant guidance, personalised feedback, and support for students’ self-regulated learning. The paper addresses education generally, not medical education, and the passages found do not establish 24/7 tutoring, test generation, or writing assistance as benefits discussed by this review. (LLM, conf=0.87)
Experimental — accuracy not yet measuredSardi et al.'s synthesis detailed GenAI's role in scaffolding metacognitive strategies and providing adaptive feedback.
“While their synthesis detailed GenAI's role in scaffolding metacognitive strategies and providing adaptive feedback”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
Sardi et al. explored both self-regulated learning (SRL) and CT across thirty-eight studies sourced from Scopus, Web of Science, and ScienceDirect spanning 2022-2024.
“Similarly, Sardi et al. [40] explored both self-regulated learning (SRL) and CT across thirty-eight studies sourced from Scopus, Web of Science, and ScienceDirect spanning 2022-2024.”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
A few reviews have focused on CT as a primary outcome.
“A few reviews have focused on CT as a primary outcome [19,40].”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
Neither Melisa et al. nor Sardi et al. systematically applies a robust CT theoretical lens to drive analysis.
“Both reviews offer valuable insights into GenAI's pedagogical affordances and challenges; however, neither systematically applies a robust CT theoretical lens to drive analysis.”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [40]
Reviews identify situations in which GenAI supports reflective feedback, self-regulation, and analytical activity.
“Reviews also identify situations in which GenAI supports reflective feedback, self-regulation, and analytical activity (Sardi et al., 2025).”
From Between Co-Intelligence and Cognitive Offloading: Educators’ Perspectives from Dutch Academic Medical Settings on Generative AI, Critical Thinking, and Adult Professional Learning (2026) · cites this paper as Sardi et al., 2025
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- Authors
- Sardi, J., Darmansyah, Candra, O., Yuliana, D. F., Habibullah, Yanto, D. T. P., & Eliza, F.
- Affiliations
- Universitas Negeri Padang (ID)
- Institut Agama Islam Negeri Kerinci (ID)
- Venue
- International Journal of Engineering Pedagogy (iJEP)
- Published
- 2025-01-10
- Volume
- 15
- Issue
- 1
- Pages
- 94-108
- ISSN
- 2192-4880 (ISSN-L)
- OpenAlex
- W4406246343
- Cited by
- 105
- References
- 56
- Citations by year
- 2026: 61 · 2025: 44
- FWCI
- 16.26
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- International Journal of Engineering Pedagogy (iJEP) (publishedVersion, cc-by)
- Funders
- Universitas Negeri Padang
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- generative AI in education, ChatGPT, student self-regulation, critical thinking skills, personalized learning, metacognitive support, adaptive feedback, overreliance on AI, learner autonomy, AI-assisted learning
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