Development and validation of ChatGPT literacy scale
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI literacy test and ChatGPT literacy scale both showed good evidence for internal consistency.
“Both showed at least some evidence for content validity while showing good evidence for structural validity, internal consistency, and construct validity.”
From A systematic review of AI literacy scales (2024) · cites this paper as [38]
AI literacy test and ChatGPT literacy scale both showed at least some evidence for content validity.
“Both showed at least some evidence for content validity while showing good evidence for structural validity, internal consistency, and construct validity.”
From A systematic review of AI literacy scales (2024) · cites this paper as [38]
AI literacy test and ChatGPT literacy scale are the scales with the most robust quality evidence for higher education students.
“When aiming for an assessment of higher education students, AI literacy test32 and ChatGPT literacy scale38 are the scales with the most robust quality evidence.”
From A systematic review of AI literacy scales (2024) · cites this paper as [38]
AI literacy test and ChatGPT literacy scale both showed good evidence for construct validity.
“Both showed at least some evidence for content validity while showing good evidence for structural validity, internal consistency, and construct validity.”
From A systematic review of AI literacy scales (2024) · cites this paper as [38]
AI literacy test and ChatGPT literacy scale both showed good evidence for structural validity.
“Both showed at least some evidence for content validity while showing good evidence for structural validity, internal consistency, and construct validity.”
From A systematic review of AI literacy scales (2024) · cites this paper as [38]
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314 · see citing works
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc.v1i1.3787 · Cited by 39,065 · see citing works
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459 · see citing works
Confirmatory factor analysis for applied research
Brown, T. A. (2007) · Choice Reviews Online · doi:10.5860/choice.44-2769 · Cited by 15,613 · see citing works
(1991) · Cited by 15,554 · see citing works
A QUANTITATIVE APPROACH TO CONTENT VALIDITY<sup>1</sup>
LAWSHE, C. H. (1975) · Personnel Psychology · doi:10.1111/j.1744-6570.1975.tb01393.x · Cited by 7,313 · see citing works
(2005) · Cited by 6,097 · see citing works
The Delphi method as a research tool: an example, design considerations and applications
Okoli, C., & Pawlowski, S. D. (2004) · Information & Management · doi:10.1016/j.im.2003.11.002 · Cited by 4,771 · see citing works
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584 · see citing works
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen (2013) · doi:10.4324/9780203774441 · Cited by 3,228 · see citing works
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 · see citing works
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 · see citing works
GPT-3: Its Nature, Scope, Limits, and Consequences
Floridi, L., & Chiriatti, M. (2020) · Minds and Machines · doi:10.1007/s11023-020-09548-1 · Cited by 2,519 · see citing works
Critchley, F., Murtagh, F. D., & Heck, A. (1988) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2983024 · Cited by 2,325 · see citing works
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 · cited 9× · see citing works
“Ng et al. (2021) also highlighted the importance of understanding the meaning of AI.”
InfluentialCollective intelligence: mankind's emerging world in cyberspace
(1998) · Choice Reviews Online · doi:10.5860/choice.35-3911 · Cited by 1,526 · see citing works
(1997) · Cited by 1,482 · see citing works
Cascella, M., Montomoli, J., Bellini, V., & Bignami, E. (2023) · Journal of Medical Systems · doi:10.1007/s10916-023-01925-4 · Cited by 1,120 · see citing works
Wang, B., Rau, P.-L. P., & Yuan, T. (2023) · Behaviour & Information Technology · doi:10.1080/0144929x.2022.2072768 · Cited by 1,036 · see citing works
Digital Literacies: concepts, policies and practices
Lankshear, C., & Knobel, M. (2008) · ResearchOnline at James Cook University (James Cook University) · Cited by 1,023 · see citing works
International Journal of Education and Development Using Information and Communication Technology.
Ghasia, M., Machumu, H., & DeSmet, E. (2019) · International journal of education and development using information and communication technology · Cited by 801 · see citing works
Role of Chat GPT in public health
Biswas, S. S. (2023) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03172-7 · Cited by 673 · see citing works
Anastasi, A. 1.-2., & Urbina, S. (1976) · Cited by 634 · see citing works
Origins and Concepts of Digital Literacy
Bawden, D. (2008) · Cited by 581 · see citing works
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 · cited 1× · see citing works
“In the context of ChatGPT, experts have raised various ethical considerations, such as morality concerns, information bias, misinformation issues, academic integrity concerns, and privacy concerns (Chan, 2022; Crawford et al., 2023; Wang et al., 2022).”
ICT in Education: A Critical Literature Review and Its Implications
Fu, J. S. (2013) · Cited by 414 · see citing works
Digital Literacy: A Review of Literature
Reddy, P., Sharma, B., & Chaudhary, K. (2020) · International Journal of Technoethics · doi:10.4018/ijt.20200701.oa1 · Cited by 398 · see citing works
Thinking in the Digital Era: A Revised Model for Digital Literacy
Eshet‐Alkalai, Y. (2012) · Issues in Informing Science and Information Technology · doi:10.28945/1621 · Cited by 366 · see citing works
ChatGPT: Evolution or revolution?
Gordijn, B., & Have, H. T. (2023) · Medicine, Health Care and Philosophy · doi:10.1007/s11019-023-10136-0 · Cited by 317 · see citing works
Development and validation of New Media Literacy Scale (NMLS) for university students
Koç, M., & Tuğtekin, E. B. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.035 · Cited by 245 · see citing works
Homolak, J. (2023) · Croatian Medical Journal · doi:10.3325/cmj.2023.64.1 · Cited by 208 · see citing works
Dahmen, J., Kayaalp, M. E., Ollivier, M., Pareek, A., Hirschmann, M. T., Karlsson, J., & Winkler, P. W. (2023) · Knee Surgery, Sports Traumatology, Arthroscopy · doi:10.1007/s00167-023-07355-6 · Cited by 193 · see citing works
Understanding New Media Literacy: An Explorative Theoretical Framework
Lin, T., Li, J. Y., Deng, F., & Lee, L. (2013) · Educational Technology & Society · Cited by 170 · see citing works
Anderson, N., Belavy, D. L., Perle, S. M., Hendricks, S., Hespanhol, L., Verhagen, E., & Memon, A. R. (2023) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2023-001568 · Cited by 168 · see citing works
Chan, A. (2023) · AI and Ethics · doi:10.1007/s43681-022-00148-6 · Cited by 155 · see citing works
Park, G., Chung, J., & Lee, S. (2022) · Current Psychology · doi:10.1007/s12144-022-03932-z · Cited by 153 · see citing works
Self-citationLaupichler, M. C., Aster, A., & Raupach, T. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100126 · Cited by 149 · see citing works
(1950) · Psychiatric Services · doi:10.1176/ps.1.8.6 · Cited by 138 · see citing works
Park, G., Yim, M. C., Chung, J., & Lee, S. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2105746 · Cited by 124 · see citing works
Self-citationPark, G., Chung, J., & Lee, S. (2023) · Current Psychology · doi:10.1007/s12144-023-04653-7 · Cited by 95 · see citing works
Self-citationThe Digital Revolution and the Coming of the Postmodern University
Raschke, C. (2003) · Routledge eBooks · doi:10.4324/9780203451243 · Cited by 85 · see citing works
Lee, S., & Park, G. (2023) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2023.0312 · Cited by 64 · see citing works
Self-citationHuda, M., & Hashim, A. (2021) · Kybernetes · doi:10.1108/k-07-2017-0252 · Cited by 61 · see citing works
Learning ethics in AI-teaching non-engineering undergraduates through situated learning
Shih, P.-K., Lin, C.-H., Wu, L. Y., & Yu, C.-C. (2021) · Sustainability · doi:10.3390/su13073718 · Cited by 59 · see citing works
Lin, C. R., Yu, C.-C., Shih, P.-K., & Wu, L. Y. (2021) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 59 · see citing works
Park, G., Lee, S., & Chung, J. (2023) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2022.0157 · Cited by 51 · see citing works
Self-citationLee, S., Park, G., & Chung, J. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.102009 · Cited by 41 · see citing works
Self-citationEffect of Gratitude Expression of AI Chatbot on Willingness to Donate
Namkoong, M., Park, G., Park, Y., & Lee, S. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2259719 · Cited by 24 · see citing works
Self-citationDigital literacy in the workplace
Hunter, I. (2018) · Business Information Review · doi:10.1177/0266382118772675 · Cited by 23 · see citing works
Using AI chatbots in climate change mitigation: a moderated serial mediation model
Lee, S., Park, Y., & Park, G. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2298305 · Cited by 23 · see citing works
Self-citationDigital Literacy and Electronic Business
Grefen, P. (2021) · Encyclopedia · doi:10.3390/encyclopedia1030071 · Cited by 12 · see citing works
Legitimization of paltry favors effect and chatbot-moderated fundraising
Lee, S., Lee, E., Park, Y., & Park, G. (2023) · Current Psychology · doi:10.1007/s12144-023-05084-0 · Cited by 9 · see citing works
Self-citation
Flagged first, then by citations
1 of the 55 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
A systematic review of AI literacy scales
Lintner, T. (2024) · npj Science of Learning · doi:10.1038/s41539-024-00264-4 · Cited by 292 · see citing works
Wijaya, T. T., Yu, Q., Cao, Y., He, Y., & Leung, F. K. S. (2024) · Behavioral Sciences · doi:10.3390/bs14111008 · Cited by 103 · see citing works
GLAT: The generative AI literacy assessment test
Jin, Y., Martínez‐Maldonado, R., Gašević, D., & Yan, L. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100436 · Cited by 119 · see citing works
Nasr, N. R., Tu, C., Werner, J., Bauer, T., Yen, C., & Sujo-Montes, L. E. (2025) · Education Sciences · doi:10.3390/educsci15091198 · Cited by 104 · see citing works
Learning About AI: A Systematic Review of Reviews on AI Literacy
Zhang, S., Ganapathy Prasad, P., & Schroeder, N. L. (2025) · Journal of Educational Computing Research · doi:10.1177/07356331251342081 · Cited by 62 · see citing works
Sidra, S., & Mason, C. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2543997 · Cited by 70 · see citing works
Generative Artificial Intelligence Literacy: Scale Development and Its Effect on Job Performance
Xin, L., Zhang, L., & Wei, X. (2025) · Behavioral Sciences · doi:10.3390/bs15060811 · Cited by 71 · see citing works
Development and validation of the Artificial Intelligence Literacy Scale for Teachers (AILST)
Ning, Y., Zhang, W., Yao, D., Fang, B., Xu, B., & Wijaya, T. T. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13347-5 · Cited by 61 · see citing works
Ma, T. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100336 · Cited by 54 · see citing works
Maaß, L., Grab‐Kroll, C., Koerner, J., Öchsner, W., Schön, M., Messerer, D. A. C., Boeckers, T. M., & Böckers, A. (2024) · Journal of CME · doi:10.1080/28338073.2024.2437293 · Cited by 37 · see citing works
Reimagining teacher development in the era of generative AI: A scoping review
Tan, Q. (2025) · Teaching and Teacher Education · doi:10.1016/j.tate.2025.105236 · Cited by 45 · see citing works
Markus, A., Carolus, A., & Wienrich, C. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100485 · Cited by 45 · see citing works
Huang, T., Wu, C., & Wu, M. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00435-1 · Cited by 35 · see citing works
Seker, O., Kwon, K., & Kocak, O. (2025) · Information Development · doi:10.1177/02666669251336368 · Cited by 21 · see citing works
Social Influence, Personal Views, and Behavioral Intention in ChatGPT Adoption
Bali, S., Suwandi, E., Chen, T.-C., Lin, C.-S., & Liu, M.-C. (2024) · Journal of Computer Information Systems · doi:10.1080/08874417.2024.2441758 · Cited by 21 · see citing works
Nie, X., Tian, Y., Liu, M., Wu, D., & Guo, Y. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13735-x · Cited by 20 · see citing works
Luo, S., & Zou, D. (2024) · European Journal of Education · doi:10.1111/ejed.12886 · Cited by 18 · see citing works
Nguyen (Ruby), N. N., & Barbieri, W. (2025) · Education Sciences · doi:10.3390/educsci15060642 · Cited by 15 · see citing works
AI-powered language learning: Developing the chatGPT usage scale for foreign language learners
Çobanoğulları, F., & Özbek, Ö. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13342-w · Cited by 27 · see citing works
AILIS 1.0: A new framework to measure AI literacy in library and information science (LIS)
Montesi, M., Álvarez-Bornstein, B., Bautista‐Puig, N., Ochando, M. B., & Díez, A. S. (2025) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2025.103118 · Cited by 16 · see citing works
Kisilowska, M. (2025) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2025.103114 · Cited by 15 · see citing works
Wan, Y., Wu, C., Moorhouse, B. L., & Wu, M. (2025) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2025.2575084 · Cited by 9 · see citing works
Assessing AI literacy in second language writing: a scale development and validation study
Huang, Z., Nazar, N., Abbas, G., & Jiang, Z. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13767-3 · Cited by 12 · see citing works
Won, J., & Lee, C. H. (2026) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-10-2025-0937 · Cited by 10 · see citing works
Li, X., & Thien, L. M. (2025) · Quality Assurance in Education · doi:10.1108/qae-08-2024-0152 · Cited by 8 · see citing works
Uluğ, E., Öner, K., ARSLANTAŞ, S., & Tatli, S. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13597-3 · Cited by 7 · see citing works
Chen, C., & Zhao, X. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2530762 · Cited by 7 · see citing works
Park, G., Park, Y., & Lee, S. (2024) · Technological forecasting & social change · doi:10.1016/j.techfore.2024.123349 · Cited by 7 · see citing works
Self-citationExploring the GenAI Literacy of Chinese University Students in EFL Learning
Li, T., & Ding, Y. (2025) · International Journal of Computer-Assisted Language Learning and Teaching · doi:10.4018/ijcallt.377175 · Cited by 8 · see citing works
Dynamics of ChatGPT literacy: impact of trust, usefulness, self-efficacy, and user satisfaction
Yun, S., Park, G., & Lee, S. (2025) · Current Psychology · doi:10.1007/s12144-025-08085-3 · Cited by 6 · see citing works
Self-citationZhang, J., Pan, W., Liang, X., & Ge, J. (2025) · European Journal of Education · doi:10.1111/ejed.70209 · Cited by 9 · see citing works
Klein-Avraham, I., Ston, R., Atias, O., Roll, I., & Baram‐Tsabari, A. (2026) · Computers & Education · doi:10.1016/j.compedu.2026.105573 · Cited by 6 · see citing works
Fostering AI Literacy in Undergraduates: A ChatGPT Workshop Case Study
Archambault, S. G., Murph, N. L., & Ramachandran, S. (2025) · Library Trends · doi:10.1353/lib.2025.a968491 · Cited by 5 · see citing works
Li, H., & Balinas, E. S. (2025) · International Journal of Latest Technology in Engineering Management & Applied Science · doi:10.51583/ijltemas.2025.1402004 · Cited by 11 · see citing works
Artificial Intelligence and Formative and Shared Assessment in Teacher Education
Fuentes-Nieto, T., Herguedas, J. L. A., & Pastor, V. M. L. (2025) · Applied Sciences · doi:10.3390/app152212067 · Cited by 5 · see citing works
Lee, S., Lee, C.-H., & Park, G. (2026) · Telematics and Informatics · doi:10.1016/j.tele.2026.102372 · Cited by 5 · see citing works
Self-citationAyre, J., Taba, M., Nickel, B., Edlund, G., Vu, T., Yan, J. J., Butters, L., Ma, I. C. K., & McCaffery, K. J. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-02056-5 · Cited by 4 · see citing works
Li, L. L., Mao, G., Zhang, L., & Ying, J. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13849-2 · Cited by 4 · see citing works
Durak, G., Çankaya, S., & Öncü, S. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-14023-y · Cited by 4 · see citing works
Nasr, N. R., Tu, C., Sujo-Montes, L. E., Haniya, S., Yen, C., & Hossain, S. (2026) · Journal of Computers in Education · doi:10.1007/s40692-026-00396-z · Cited by 10 · see citing works
The Strategic Prompting Scale (SPS) for Measuring Metacognitive Regulation in Human–AI Interaction
Suriano, R., & Plebe, A. (2026) · Journal of Intelligence · doi:10.3390/jintelligence14070141 · Cited by 4 · see citing works
Ergene, Ö., & ERGENE, B. Ç. (2025) · Digital Experiences in Mathematics Education · doi:10.1007/s40751-025-00176-x · Cited by 8 · see citing works
Lenke, M., Klowait, N. O., Biere, L., & Schulte, C. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-01222-7_8 · Cited by 4 · see citing works
Chatbot Memory: Uncovering How Mental Effort and Chabot Interactions Affect Short-Term Learning
Marois, A., Lavallée, I., Boily, G., Alamán, J. R., Desrosiers, B., & Lavoie, N. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251358242 · Cited by 3 · see citing works
Kılıç, E., Almasri, F., & Çelik, H. E. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100486 · Cited by 5 · see citing works
Kong, E. W. S., Dilinika, J. M. S., Nie, X., Gautam, A., & Huang, K. (2025) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.1325 · Cited by 5 · see citing works
Luo, J., Qu, L., Wang, M., & Li, H. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2642871 · Cited by 3 · see citing works
Kim, S.-Y. (2026) · System · doi:10.1016/j.system.2026.104037 · Cited by 5 · see citing works
Zheng, F., Wang, H., Gu, X., & Wang, G. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107190 · Cited by 3 · see citing works
Kılıç, E., & Çelik, H. E. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100452 · Cited by 9 · see citing works
Mahy, T., & Li, H. (2026) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2026.2623216 · Cited by 2 · see citing works
Wolny, R., Hoffmann-Burdzińska, K., Jaciow, M., Sączewska-Piotrowska, A., Stolecka-Makowska, A., & Szojda, G. (2026) · Sustainability · doi:10.3390/su18020619 · Cited by 3 · see citing works
Ma, H., Liu, X., Chen, Z., Tao, Z., You, Q., Zhao, Y., & Li, H. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1666169 · Cited by 1 · see citing works
Trust erodes, fatigue builds: How prompt uncertainty traps users in recrafting loops
Yang, H., Wang, J., & Hu, P. (2026) · Computers in Human Behavior · doi:10.1016/j.chb.2026.109097 · Cited by 1 · see citing works
Ma, Y., Zhao, X., Li, G., Liu, S., Liu, T., Zhao, Q., Xiao, M., & Wang, J. (2026) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2026.105659 · Cited by 1 · see citing works
Enhancing AI Interaction through Co-Construction: A Multi-Faceted Workshop Framework
Lenke, M., & Schulte, C. (2025) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon62633.2025.11016326 · Cited by 1 · see citing works
Bibliometric Analysis of Artificial Intelligence Literacy Research Status Based on Clustering
Wu, Y., Yang, W., Ji, T., Luo, Y., Lin, Y., Yang, Y., & Liu, Y. (2025) · International Conference on Artificial Intelligence and Big Data (ICAIBD) · doi:10.1109/icaibd64986.2025.11081974
Hu, E., & Sallam, M. H. (2025) · 2025 7th International Conference on Computer Science and Technologies in Education (CSTE) · doi:10.1109/cste64638.2025.11091933
Sismat, M. A. H., Abdullah, R. B., Kahar, K. B. H. A., Abdullah, R. B., & Jarudin, A. (2025) · Studies in computational intelligence · doi:10.1007/978-3-032-01348-4_12 · Cited by 1 · see citing works
Du, C., Peng, Y., Ahmad, N. K., & Jamil, A. H. B. (2025) · Studies in computational intelligence · doi:10.1007/978-3-032-01348-4_7 · Cited by 2 · see citing works
Aytaş, M., & Kucuktongur, M. (2025) · Research Square · doi:10.21203/rs.3.rs-7973176/v1
Ethical and Societal Implications of Large Language Models
Shafik, W. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-8387-2.ch007
Yapay Zekâ Okuryazarlığı Ölçeği: Türkçeye Uyarlama Çalışması
Gökoğlu, S., Erdoğdu, F., & Altun, E. (2025) · Anadolu Journal Of Educational Sciences International · doi:10.18039/ajesi.1699897
Percepción de los estudiantes sobre las competencias de los profesores que usan IA
Mendieta, R. M., Fontaines-Ruíz, T., & Gaeta, C. (2026) · Telos Revista de Estudios Interdisciplinarios en Ciencias Sociales · doi:10.36390/telos281.09 · Cited by 2 · see citing works
Tasrif, & Arifuddin (2026) · Jurnal Penelitian Pendidikan IPA · doi:10.29303/jppipa.v12i1.12915
Mierzecka, A., Deja, M., Kisilowska-Szurmińska, M., & Brylska, K. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-17272-3_2
The German Artificial Intelligence Experience and Attitude Survey (AIEAS)
Gnambs, T., Griese, F., & Zinn, S. (2026) · Psychological Test Adaptation and Development · doi:10.1027/2698-1866/a000118
ÇELİKTÜRK, H., & Başar, S. (2026) · Anadolu Üniversitesi Sosyal Bilimler Dergisi · doi:10.18037/ausbd.1749050
Cultural adaptation and validation of a ChatGPT literacy scale for university students in Chile
Río, C. S. D., Monge-Rogel, R., Fuentes-Lama, R., & Fernández-Ochoa, H. (2026) · Current Psychology · doi:10.1007/s12144-026-09314-z
Chen, C., Molina, M. D., Liao, M., & Snyder, E. C. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791635 · Cited by 2 · see citing works
Tsioukas, K., & Κώστας, Α. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/407456
Deng, Y., Guo, H., & Yi, D. (2026) · Scientific Reports · doi:10.1038/s41598-026-48753-3
Validation of the Turkish Version of the ChatGPT Literacy Scale
Bulut, A., Gökhan, A. B. A., Mutlu, C., Guven‐Uslu, P., & Çalışkan, R. E. (2026) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2026.2665784
Lee, S., & Park, G. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2670374
Self-citationSafi, Y., Abualhaj, S., Alshadfan, L., Al-Kammash, K. R., Al-Ramini, N., Abuzaid, L., Naji, S. A., Alzayadneh, I., & Al-Masri, M. M. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1766683
ChatGPT Okuryazarlık Ölçeğinin Türkçeye Uyarlanması; Geçerlilik ve Güvenirlik Çalışması
Arslan, R., & KARAMAN, M. (2026) · Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu dergisi · doi:10.29249/selcuksbmyd.1791247
Huang, T., & Tseng, H.-P. (2026) · European Journal of Education · doi:10.1111/ejed.70741
Chen, H.-Y., & Chi, Y. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101205
AI literacy research topic mining and evolution analysis using the BERTopic model
Xu, H., Cheng, Y., Feng, Y., Lin, C., & Teng, G. (2026) · Journal of Information Science · doi:10.1177/01655515261459058
Supporting systems thinking in environmental science education with large language model chatbots
Nguyen, H., Valdez, E., Pei, J., Ludovise, S., & Santagata, R. (2026) · International Journal of Science Education · doi:10.1080/09500693.2026.2695951
Churiyah, M., Rusmana, D., Permansah, S., Dirgatama, C. H. A., & Indrawati, C. D. S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7155486
Identifying gaps in students' knowledge of artificial intelligence in information literacy
Gotschall, T., Vierrether, T., & Misteri, C. (2026) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2026.103311
Zheng, H., Han, F., Yang, H., Xu, J., Wu, Y., Wu, J., & Li, T. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2711024 · Cited by 3 · see citing works
Yang, Z., & Ya'nan, L. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1932185 · Cited by 1 · see citing works
hanhui, Y. I. N., Gulacar, O., Yang, J., Liu, R., & Chen, X. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2712807
Marois, A., Lavallée, I., Boily, G., & Alamán, J. R. (2026) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208261474518
Chow, T. S., To, K., Lam, B. Y., & Lau, K. W. (2026) · Behavioral Sciences · doi:10.3390/bs16081448
Liang, J., Li, M., Yang, T., Gao, X., & Liu, B. (2026) · International Conference on Computer Science and Technologies in Education (CSTE) · doi:10.1109/cste69562.2026.11649601
Luo, S., Li, A., Yang, G., Liu, B., & Liu, B. (2026) · International Conference on Computer Science and Technologies in Education (CSTE) · doi:10.1109/cste69562.2026.11649635
Development and validation of the adolescent artificial intelligence literacy scales
Xie, X., Ma, P., Li, Y., Fu, Z., Zhao, Y., 杜忠娟, & Zhang, W. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-14136-4
Prompting with Respect: Cultural Norms and User Experience in LLM Interactions
Yang, S., Oh, S., & Shim, H. E. (2026) · Cyberpsychology Behavior and Social Networking · doi:10.1177/21522715261484255
Guo, Z., Li, W., Chen, L. L., Liang, Q., & Wu, Y. (2026) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2026.100679
Wu, C., & Lam, R. (2026) · Assessing Writing · doi:10.1016/j.asw.2026.101125
Qian, X., Dong, J., Yin, S., & Huang, B. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2735923
Gu, L. C., Gao, X., Li, R., Liu, Z., & Li, Y. (2026) · International Journal of Technology and Design Education · doi:10.1007/s10798-026-10128-0
Murugesan, R., & Madhumathi, P. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2742363
A Feasibility Study of GenAI Integrated CT Lessons for Second GradersPreprint
Rutherford, T. A., Veng, S., Anisiobi, O. C., & Duque-Baird, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7583918
Ahmad, Z., Latheef, N. A., Sultana, A., Siby, N., & Chiu, T. K. F. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2735920
Ma, W., Yuan, F., & Luo, H. (2026) · Journal of Research on Technology in Education · doi:10.1080/15391523.2026.2735312
Zhang, J., Wang, S., Huang, Y., & Zhang, L. (2026) · Educational Technology Research and Development · doi:10.1007/s11423-026-10752-6
- Authors
- Lee, S., & Park, G.
- Affiliations
- Sungkyunkwan University (KR)
- New Mexico State University (US)
- Corresponding author
- Park, Gain
- Venue
- Current Psychology
- Published
- 2024-02-14
- Volume
- 43
- Issue
- 21
- Pages
- 18992-19004
- ISSN
- 1046-1310 (ISSN-L)
- 1936-4733
- OpenAlex
- W4391819811
- Cited by
- 100
- References
- 55
- Citations by year
- 2026: 52 · 2025: 41 · 2024: 7
- FWCI
- 37.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Current Psychology (publishedVersion)
- Funders
- Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2021S1A5C2A02088387)
- Topics
- Physical Sciences › Computer Science › Information Systems › Digital literacy in education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- large language models, scale development, technical proficiency, critical appraisal, communication skills, creative applications, ethical competence, construct validity, content validity, university students, digital literacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
