Ground future empirical research on critical thinking with or about AI in one of three theoretical traditions¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The review proposes a research agenda for "more theory-grounded empirical research in critical thinking with or about AI, based on cognitive-psychological, philosophical, or educational research traditions". Researchers should situate their study in one of the three traditions and apply the methods and evaluations that tradition prescribes, enabling readers to evaluate conclusions, position contributions rigorously, and design technologies that influence critical thinking on a well-informed basis.

Design Implications¶

Context¶

Requirements¶

• Studies must define critical thinking explicitly and choose measurement methods aligned with the chosen tradition's validated instruments or transparent criteria

Constraints¶

• The review notes current measurement parameters such as efficiency and productivity invite relatively uncritical adoption of AI tools

Target Learners¶

• HCI researchers designing empirical studies of AI and critical thinking

Target Learning Goals¶

• Theory-grounded study design, measurement, and evaluation of critical thinking with or about AI

Affordances¶

• Three Traditions Critical Thinking Framework

Related Strategies¶

Examples¶

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Key Sources¶

• Inie, N., Kristensen, A. M., Misfeldt, M., & Dalsgaard, P. (2026). A Critical Review of Critical Thinking in HCI Research About AI. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2026.2722522