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The impact of generative AI on critical thinking skills: a systematic review, conceptual framework and future research directions

  • Mohamed Y.I. Helal
  • , Ibrahim A. Elgendy
  • , Mousa Ahmed Albashrawi
  • , Yogesh K. Dwivedi
  • , Mohammad S. Al-Ahmadi
  • , Il Jeon
  • King Fahd University of Petroleum and Minerals
  • Sungkyunkwan University

Research output: Contribution to journalReview articlepeer-review

Abstract

Purpose – The purpose of this study is to systematically review and critically analyze the emerging body of research on how generative artificial intelligence (GenAI) tools impact individuals’ critical thinking skills. It asks: How can GenAI tools increase or decrease the fundamental processes of interpretation, analysis, evaluation and creative inference? Design/methodology/approach – The authors developed a comprehensive search string comprising 15 keywords that combined GenAI terms with higher-order cognitive descriptions. For the 2023–2025 timeframe, this search yielded 79 Web of Science papers and 142 Scopus papers. They analyzed and synthesised 68 peer-reviewed papers after filtering, duplication removal and full-text eligibility checks. Findings – This study proposes the dual-impact generative-AI critical thinking (DI-GAI-CT) framework, which maps GenAI affordances and mirror-image pitfalls onto five cognitive-metacognitive mediators (prompt quality, self-regulation, engagement, trust, metacognitive critique); three inhibitors (hallucination, automation bias and quick-solution dependence); Murphy’s five-stage critical thinking staircase; and four boundary moderators (task specificity, task complexity, ethical-AI literacy and general AI literacy). A forward-looking agenda then outlines six priority research streams such as multiwave causal tracking, full-constellation modeling and cross-cultural replication. Practical implications – In theory, DI-GAI-CT provides the first mechanism-rich model for explaining both uplift and erosion in higher-order reasoning driven by GenAI. In practice, the agenda provides domain-specific levers to organizational leaders, AI designers and educators, such as prompt engineering, metacognitive scaffolding and dual-impact governance, to increase reflective judgment while dampening automation bias. Originality/value – To the best of the authors’ knowledge, this is the first review to incorporate a diverse evidence set into a multilevel, dual-stream process model, indicating precisely when, how and why GenAI may either strengthen or undermine critical thinking abilities.

Original languageEnglish
JournalInformation Discovery and Delivery
DOIs
StateAccepted/In press - 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Analytical thinking
  • ChatGPT
  • Cognitive skills
  • Critical thinking
  • Education for sustainable development
  • Generative AI
  • Large language models
  • Problem solving
  • Reflective thinking

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