Artificial intelligence in teacher education: Examining critical thinking and creativity through AI usage

  • Xianfeng Li Leshan Normal University, Leshan 614004, Sichuan, China
Article ID: 2727
Keywords: AI usage; teacher education; critical thinking; creativity; cognitive load theory; dual-process theory

Abstract

The integration of Artificial Intelligence (AI) in teacher education has raised important questions about its impact on higher-order cognitive skills, particularly critical thinking and creativity. This study investigates the mediating role of critical thinking in the relationship between AI usage and creativity among pre-service teachers. Grounded in Cognitive Load Theory (CLT) and Dual-Process Theory, the research conceptualizes critical thinking as a second-order reflective construct comprising adaptive exploration (AE) and systematic validation (SV). Using a cross-sectional survey design, data were collected from 107 pre-service teachers at a teacher training institution in Southwest China. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze the relationships among AI usage, critical thinking, and creativity. Results indicate that AI usage significantly enhances critical thinking (β = 0.560, p < 0.001), which, in turn, has a strong positive effect on creativity (β = 0.707, p < 0.001). Moreover, critical thinking serves as a partial mediator, amplifying the effect of AI usage on creativity (β = 0.397, p < 0.001, VAF = 65.89%). These findings underscore the necessity of fostering AI-supported critical thinking skills in teacher education. As generative AI technologies become increasingly prevalent in digital learning environments, integrating adaptive exploration and systematic validation into pedagogical strategies is essential for cultivating both critical thinking and creativity. The study contributes to the discourse on digital learning innovations and teacher education by providing empirical evidence on AI’s role in enhancing cognitive development.

Published
2025-04-17
How to Cite
Li, X. (2025). Artificial intelligence in teacher education: Examining critical thinking and creativity through AI usage. Forum for Education Studies, 3(2), 2727. https://doi.org/10.59400/fes2727
Section
Article

References

[1]Deshpande AS, Mahajan SR, Kulkarni SB, Puri SA. Impact of AI on Education: A Review. International Research Journal on Advanced Engineering and Management (IRJAEM). 2024; 2(09): 2929-2934. doi: 10.47392/irjaem.2024.0433

[2]Bushuyev S, Igbal AB, Elams C. The ai revolution in it education. international journal of information and communication technologies. 2024; 5(2(18)): 8-22. doi: 10.54309/ijict.2024.18.2.001

[3]Hamdi M. How AI is Transforming and Shaping the Future of Education. IEEE; 2024.

[4]Dei MО. The impact of AI on the adaptation of educational materials and teaching methods to the needs of each student. LatIA. 2025; 3: 124. doi: 10.62486/latia2025124

[5]Sweller J. Cognitive load during problem solving: Effects on learning. Cognitive Science. 1988; 12(2): 257-285. doi: 10.1016/0364-0213(88)90023-7

[6]Kahneman D. Thinking, fast and slow. Farrar, Straus, and Giroux; 2011.

[7]Sweller J, Ayres P, Kalyuga S. Cognitive Load Theory. Springer New York; 2011.

[8]Macedo HS, Santos ITF, Silva ELO. The Power of Attention: Bridging Cognitive Load, Multimedia Learning, and AI. arXiv; 2023.

[9]Evans JStBT, Stanovich KE. Dual-Process Theories of Higher Cognition. Perspectives on Psychological Science. 2013; 8(3): 223-241. doi: 10.1177/1745691612460685

[10]Panthalookaran V. A Revised Taxonomy of Educational Objectives for AI-Natives: Reimagining Thinking Skills in the Age of AI. Higher Education for the Future. 2024; 12(1): 51-64. doi: 10.1177/23476311241285100

[11]Yatani K, Sramek Z, Yang C-L. AI as Extraherics: Fostering Higher-order Thinking Skills in Human-AI Interaction. arXiv; 2024.

[12]Tolan S, Pesole A, Martínez-Plumed F, et al. Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks. Journal of Artificial Intelligence Research. 2021; 71: 191-236. doi: 10.1613/jair.1.12647

[13]Sugathan M. The impact of AI on design students’ cognitive learning. International Journal of Design Education. 2023; 11(9).

[14]Gonzalez JSL, Hernández LA. AI and education: combination to enhance knowledge. Seminars in Medical Writing and Education. 2025; 4: 37. doi: 10.56294/mw202537

[15]Sallu S, Sianturi NM, Purwoko B, et al. Learning in Higher Education Based on Artificial Intelligence (AI) with Case Based Reasoning (CBR). Journal of Namibian Studies : History Politics Culture. 2023; 34. doi: 10.59670/jns.v34i.1191

[16]Young J. The Rise of Artificial Intelligence in Education. International Journal of Innovative Research and Development. 2024; 13(2). doi: 10.24940/ijird/2024/v13/i2/feb24019

[17]Creswell JW, Creswell JD. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 6th ed. Sage; 2023.

[18]Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis, 8th ed. Pearson; 2019.

[19]Alharbi W. AI in the Foreign Language Classroom: A Pedagogical Overview of Automated Writing Assistance Tools. Rahman MM, ed. Education Research International. 2023; 2023: 1-15. doi: 10.1155/2023/4253331

[20]Hao X, Geng F, Wang T, et al. Relations of Creativity to the Interplay Between High-order Cognitive Functions: Behavioral and Neural Evidence. Neuroscience. 2021; 473: 90-101. doi: 10.1016/j.neuroscience.2021.08.015

[21]Zhuang K, Yang W, Li Y, et al. Connectome-based evidence for creative thinking as an emergent property of ordinary cognitive operations. NeuroImage. 2021; 227: 117632. doi: 10.1016/j.neuroimage.2020.117632

[22]Smillie LD, Bennett D, Tan NP, et al. Does openness/intellect predict sensitivity to the reward value of information? Cognitive, Affective, & Behavioral Neuroscience. 2021; 21(5): 993-1009. doi: 10.3758/s13415-021-00900-1

[23]Cabrera D, Cabrera L, Cabrera E. Perspectives Organize Information in Mind and Nature: Empirical Findings of Point-View Perspective (P) in Cognitive and Material Complexity. Systems. 2022; 10(3): 52. doi: 10.3390/systems10030052

[24]Wang Y, Xu ZL, Lou JY, et al. Factors influencing the complex problem-solving skills in reflective learning: results from partial least square structural equation modeling and fuzzy set qualitative comparative analysis. BMC Medical Education. 2023; 23(1). doi: 10.1186/s12909-023-04326-w

[25]Gupta N, Salgaonkar S, Kothari C, et al. Hypothesis Problem Solving Using Natural Language Processing. IEEE; 2023.

[26]Facione PA. The Disposition Toward Critical Thinking: Its Character, Measurement, and Relationship to Critical Thinking Skill. Informal Logic. 2000; 20(1). doi: 10.22329/il.v20i1.2254

[27]Runco MA, Jaeger GJ. The Standard Definition of Creativity. Creativity Research Journal. 2012; 24(1): 92-96. doi: 10.1080/10400419.2012.650092

[28]Fornell C, Larcker DF. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research. 1981; 18(1): 39-50. doi: 10.1177/002224378101800104

[29]Tabachnick BG, Fidell LS. Using multivariate statistics, 7th ed. Pearson; 2019.

[30]Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods. 2008; 40(3): 879-891. doi: 10.3758/brm.40.3.879

[31]American Psychological Association (APA). Publication manual of the American Psychological Association, 7th ed. APA; 2020.

[32]Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. 1999; 6(1): 1-55. doi: 10.1080/10705519909540118

[33]Li J, Wang Y, Chen X. The role of artificial intelligence in fostering critical thinking in digital learning environments. Educational Technology Research & Development. 2021; 69(4): 781-803.

[34]Anderson LW, Krathwohl DR. A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman; 2022.

[35]Brown PC, Roediger HL, McDaniel MA. Make It Stick. Harvard University Press; 2014.

[36]Zhao Y. Artificial Intelligence and Education: End the Grammar of Schooling. ECNU Review of Education. Sage; 2024.

[37]Taufikin MSI, Supa’At N, Nikmah F, et al. The impact of AI on teacher roles and pedagogy in the 21st-century classroom. IEEE; 2024.