The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Student interaction with ChatGPT can promote complex critical thinking skills
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In the citing paper
“If learners are guided to use AI responsibly and reflectively, and if educational norms support critical engagement rather than passive surrender, then the practice will cease to be corrupting, it can even be utilized to help learners improve their cognitive skills (Suriano et al. 2025, 5).”
From Algorithmic Epistemic Outsourcing and Epistemic Corruption (2026) · cites this paper as Suriano et al. 2025
In the citing paper
“Initial studies suggest that, while students may benefit from AI-enhanced feedback, overreliance on these tools may undermine opportunities for deep learning and critical engagement (Kasneci et al., 2023; Suriano et al., 2025; Zawacki-Richter et al., 2019; Zhai et al., 2024).”
From Participatory Co-Design and Evaluation of a Novel Approach to Generative AI-Integrated Coursework Assessment in Higher Education (2025) · cites this paper as Suriano et al., 2025
In the citing paper
“Recent studies have identified the potential of GenAI tools to activate CT through cognitive scaffolding and metacognitive prompting [11,13,14].”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [14]
In the citing paper
“The Critical Reasoning Assessment (CRA) further offered a multidimensional standardized tool (α = 0.87) [14,69].”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [14]
In the citing paper
“For example, Suriano et al. [14] reported that depth of interaction with a chatbot was associated with measured gains in CT performance.”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [14]
In the citing paper
“Studies consistently show that students achieve deeper cognitive engagement when GenAI use is paired with structured prompts, metacognitive scaffolds, and reflective tasks that require justification of reasoning [14,93].”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [14]
Citations
Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · doi:10.35542/osf.io/5er8f · Cited by 7,552
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2190148 · Cited by 3,087
Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT
Cotton, D., Cotton, P., & Shipway, J. R. (2023) · doi:10.35542/osf.io/mrz8h · Cited by 3,079
Human trust in artificial intelligence: Review of empirical research
Glikson, E., & Woolley, A. W. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0057 · Cited by 2,921
Conceptualizing AI literacy: An exploratory review
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100041 · Cited by 2,205
What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
Lo, C. K. (2023) · Education Sciences · doi:10.3390/educsci13040410 · Cited by 2,024
ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.9 · Cited by 1,806
An Overview of Chatbot Technology
Adamopoulou, E., & Moussiades, L. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-49186-4_31 · Cited by 1,300
ChatGPT User Experience: Implications for Education
Zhai, X. (2023) · doi:10.2139/ssrn.4312418 · Cited by 935
Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT
Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023) · Education Sciences · doi:10.3390/educsci13090856 · Cited by 877
Crawford, J., Cowling, M., & Allen, K.-A. (2023) · Journal of University Teaching and Learning Practice · doi:10.53761/1.20.3.02 · Cited by 547
Schepman, A., & Rodway, P. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2085400 · Cited by 503
Investigating the impact of user trust on the adoption and use of ChatGPT: Survey analysis
Choudhury, A., & Shamszare, H. (2023) · Journal of Medical Internet Research · doi:10.2196/47184 · Cited by 470
The shifting sands of creative thinking: Connections to dual-process theory
Sowden, P. T., Pringle, A., & Gabora, L. M. (2014) · Thinking & Reasoning · doi:10.1080/13546783.2014.885464 · Cited by 425
van den Berg, G., & du Plessis, E. (2023) · Education Sciences · doi:10.3390/educsci13100998 · Cited by 401
Advancing the rationality debate
Stanovich, K. E., & West, R. F. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00623439 · Cited by 355
Essel, H. B., Vlachopoulos, D., Essuman, A. B., & Amankwa, J. O. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100198 · Cited by 296
Raghu Raman, R., Mandal, S., Das, P., Kaur, T., Sanjanasri, J. P., & Nedungadi, P. (2024) · Human Behavior and Emerging Technologies · doi:10.1155/2024/3085910 · Cited by 288
Smartphone use and academic performance: A literature review
Amez, S., & Baert, S. (2020) · International Journal of Educational Research · doi:10.1016/j.ijer.2020.101618 · Cited by 268
Leveraging ChatGPT for Enhancing Critical Thinking Skills
Guo, Y., & Lee, D. (2023) · Journal of Chemical Education · doi:10.1021/acs.jchemed.3c00505 · Cited by 250
Design, development and evaluation of a human-computer trust scale
Gulati, S., Sousa, S., & Lamas, D. (2019) · Behaviour & Information Technology · doi:10.1080/0144929x.2019.1656779 · Cited by 229
Rad, H. S., Alipour, R., & Jafarpour, A. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2208170 · Cited by 214
Ku, K. Y. L., Kong, Q., Song, Y., Deng, L., Kang, Y., & Hu, A. (2019) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2019.05.004 · Cited by 207
The impact of educational chatbot on student learning experience
Ait Baha, T., El Hajji, M., Es-Saady, Y., & Fadili, H. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12166-w · Cited by 206
New Modes of Learning Enabled by AI Chatbots: Three Methods and Assignments
Mollick, E. R., & Mollick, L. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4300783 · Cited by 176
USEQ: A Short Questionnaire for Satisfaction Evaluation of Virtual Rehabilitation Systems
Gil-Gómez, J.-A., Manzano-Hernández, P., Albiol-Pérez, S., Aula-Valero, C., Gil-Gómez, H., & Lozano-Quilis, J.-A. (2017) · Sensors · doi:10.3390/s17071589 · Cited by 150
Kosar, T., Ostojić, D., Liu, Y. D., & Mernik, M. (2024) · Mathematics · doi:10.3390/math12050629 · Cited by 140
Co-designing AI literacy exhibits for informal learning spaces
Long, D., Blunt, T., & Magerko, B. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3476034 · Cited by 128
Online chat and chatbots to enhance mature student engagement in higher education
Abbas, N., Whitfield, J., Atwell, E., Bowman, H., Pickard, T., & Walker, A. (2022) · International Journal of Lifelong Education · doi:10.1080/02601370.2022.2066213 · Cited by 116
Students’ attitudes towards using ChatGPT as a learning tool: the case of the University of Jordan.
O. Ajlouni, A., Abd-Alkareem Wahba, F., & Salem Almahaireh, A. (2023) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v17i18.41753 · Cited by 116
Guerrero, J. G., Ali, S. A., & Attallah, D. M. A. (2022) · Clinical Simulation in Nursing · doi:10.1016/j.ecns.2021.11.008 · Cited by 108
Chang, C., Panjaburee, P., Lin, H., Lai, C., & Hwang, G. (2022) · Educational Technology Research and Development · doi:10.1007/s11423-021-10071-y · Cited by 88
Arrivillaga, C., Rey, L., & Extremera, N. (2022) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.107095 · Cited by 85
Krupp, L., Steinert, S., Kiefer-Emmanouilidis, M., Avila, K. E., Lukowicz, P., Kuhn, J., Küchemann, S., & Karolus, J. (2024) · Frontiers in Artificial Intelligence and Applications · doi:10.3233/faia240195 · Cited by 82
Hartanto, A., Lee, K. Y. X., Chua, Y. J., Quek, F. Y. X., & Majeed, N. M. (2022) · British Journal of Psychology · doi:10.1111/bjop.12597 · Cited by 62
Pinto, A., Sousa, S., Simões, A. C., & Santos, J. (2022) · Human Behavior and Emerging Technologies · doi:10.1155/2022/6437441 · Cited by 59
Impact of social media use on critical thinking ability of university students
Cheng, L., Fang, G., Zhang, X., Lv, Y., & Liu, L. (2022) · Library Hi Tech · doi:10.1108/lht-11-2021-0393 · Cited by 58
Meltzer, J. A., Rose, M. K., Le, A., Spencer, K. A., Goldstein, L., Gubanova, A., Lai, A. C., Yossofzai, M., Armstrong, S. E. M., & Bialystok, E. (2021) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2021.1991262 · Cited by 50
Leveraging ChatGPT for Enhancing English Writing Skills and Critical Thinking in University Freshmen
Minh, A. N. (2024) · Journal of Knowledge Learning and Science Technology · doi:10.60087/jklst.vol3.n2.p62 · Cited by 39
Li, Y., Li, K., Wei, W., Dong, J., Wang, C., Fu, Y., Li, J., & Peng, X. (2021) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2021.100799 · Cited by 38
The influence of media exposure on anxiety and working memory during lockdown period in Italy.
Fabio, R. A., & Suriano, R. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18179279 · Cited by 33
Self-citationA New Era: Intelligent Tutoring Systems Will Transform Online Learning for MillionsPreprint
St‐Hilaire, F., Vu, D. T., Frau, A., Burns, N., Faraji, F., Potochny, J., Robert, S., Roussel, A., Zheng, S., Glazier, T., et al. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2203.03724 · Cited by 33
Martínez, R. A., Gajderowicz, T. J., & Rodríguez, V. G. G. (2024) · Revista de Educación a Distancia (RED) · doi:10.6018/red.604621 · Cited by 32
The Influence of Smartphone Use on Tweens’ Capacity for Complex Critical Thinking
Fabio, R. A., & Suriano, R. (2023) · Children · doi:10.3390/children10040698 · Cited by 28
Self-citationCritical Reflection on Using ChatGPT in Student Learning: Benefits or Potential Risks?
Chan, M. M. K., Wong, I. S. F., Yau, S. Y., & Lam, V. S. F. (2023) · Nurse Educator · doi:10.1097/nne.0000000000001476 · Cited by 28
Critical Thinking in Ethical and Neutral Settings in Gifted Children and Non-Gifted Children
Fabio, R. A., Croce, A., & Calabrese, C. (2022) · Children · doi:10.3390/children10010074 · Cited by 20
Self-citationMetacognitive control in single- vs. dual-process theory
Rumana, A. (2022) · Thinking & Reasoning · doi:10.1080/13546783.2022.2047106 · Cited by 19
College Students’ Critical Thinking: Assessment and Interpretation
Anghel, E., Braun, H. I., Friedman, A. A., & Baez-Cruz, M. (2021) · Journal of Higher Education Theory and Practice · doi:10.33423/jhetp.v21i10.4624 · Cited by 17
Insight and Creativity in Problem Solving
(2018) · Routledge eBooks · doi:10.4324/9781315144061 · Cited by 15
HHAI 2024: Hybrid Human AI Systems for the Social Good
Muscato, B., Bushipaka, P., Gezi̇ci, G., Passaro, L., & Giannotti, F. (2024) · Frontiers in artificial intelligence and applications · doi:10.3233/faia386 · Cited by 12
Effect of smartphone location on pharmacy students’ attention and working memory
Nakagawa, N., Odanaka, K., Ohara, H., Ito, T., Kisara, S., & Ito, K. (2022) · Journal Of Advanced Pharmacy Education And Research · doi:10.51847/7tgmb6sv8i · Cited by 11
Determinants of Preschool Teachers’ Knowledge-Sharing Behavior from a Thinking Style Perspective
Cheng, L., Wu, D., & Cao, J. (2023) · Behavioral Sciences · doi:10.3390/bs13030230 · Cited by 10
Understanding and Predicting Teachers' Intention to Use Educational Chatbots
Çelik, İ., & Muukkonen, H. (2023) · Proceedings. · doi:10.22318/icls2023.214919 · Cited by 6
Critical Thinking Skills of Students in Response Political News on Social Media Instagram
Dikarsa, A. A., Abdulkarim, A., & Halimi, M. (2020) · Journal of International Conference Proceedings · doi:10.32535/jicp.v2i4.779 · Cited by 3
Research works printed but not linked: 5
- Bernava, 2021, Proteo: A framework for serious games in telerehabilitation, Applied Sciences, 11, 5935, 10.3390/app11135935 · DOI
- Dharmastuti, 2020, Adolescent critical thinking prior to social media information sharing, International Journal of Innovation, Creativity and Change, 13, 1195
- Michel-Villarreal, 2023, Challenges and opportunities of generative AI for higher education as explained by ChatGPT, Education Sciences, 13, 856, 10.3390/educsci13090856 · DOI · Paper page
- Raman, 2023, University students as early adopters of ChatGPT: Innovation diffusion study, Research Square
- Zhuo, 2023, Exploring ai ethics of chatgpt: A diagnostic analysis, arXiv preprint arXiv:2301.12867 · arXiv
Cited by
Sorted by citations
Higher education students’ perceptions of ChatGPT: A global study of early reactions
Ravšelj, D., Keržič, D., Tomaževič, N., Umek, L., Brezovar, N., A. Iahad, N., Abdulla, A. A., Akopyan, A., Aldana Segura, M. W., AlHumaid, J., et al. (2025) · PLOS ONE · doi:10.1371/journal.pone.0315011 · Cited by 376
Sardi, J., Darmansyah, Candra, O., Yuliana, D. F., Habibullah, Yanto, D. T. P., & Eliza, F. (2025) · International Journal of Engineering Pedagogy (iJEP) · doi:10.3991/ijep.v15i1.53379 · Cited by 105
Modeling AI-assisted writing: How self-regulated learning influences writing outcomes
Jin, F., Lin, C.-H., & Lai, C. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108538 · Cited by 93
Unveiling trust in AI: the interplay of antecedents, consequences, and cultural dynamics
Dang, Q., & Li, G. (2025) · AI & Society · doi:10.1007/s00146-025-02477-6 · Cited by 135
Liu, X., & Zhong, B. (2025) · Educational Research Review · doi:10.1016/j.edurev.2025.100741 · Cited by 78
Metadata
- Authors
- Suriano, R., Plebe, A., Acciai, A., & Fabio, R. A.
- Affiliations
- University of Messina (IT)
- Corresponding author
- Suriano, Rossella
- Venue
- Learning and Instruction
- Publisher
- Elsevier BV
- Published
- 2025-02
- Volume
- 95
- Pages
- 102011
- ISSN
- 0959-4752 (ISSN-L)
- OpenAlex
- W4402483923
- Cited by
- 208
- References
- 56
- Citations by year
- 2026: 99 · 2025: 101
- FWCI
- 78.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Learning and Instruction (publishedVersion)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Education › Education and Critical Thinking Development
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- ChatGPT, AI chatbots in education, critical thinking, student attitudes toward AI, trust in AI, student engagement, AI knowledge, student-AI interaction
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