AI for Academic Success: Investigating the Role of Usability, Enjoyment, and Responsiveness in ChatGPT Adoption
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?
The spike in research in 2023 likely correlates with the widespread release and adoption of generative AI tools, such as ChatGPT.
“This spike likely correlates with the widespread release and adoption of generative AI tools, such as ChatGPT, which induced academic interest and application development [40,41].”
From Systematic review of artificial intelligence in education: trends, benefits, and challenges (2025) · cites this paper as [41]
Recent literature indicates a surge in generative AI adoption in education due to its versatility in producing personalized content and feedback.
“This aligns with recent literature indicating a surge in generative AI adoption in education due to its versatility in producing personalized content and feedback [40,41].”
From Systematic review of artificial intelligence in education: trends, benefits, and challenges (2025) · cites this paper as [41]
Cites
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
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941 · cited 2× · see citing works
“This study employed a two-step approach to validate the measurement model and examine the structural relationships among constructs (Anderson & Gerbing, 1988 ; Chong, 2013).”
Cognitive Load During Problem Solving: Effects on Learning
Sweller, J. (1988) · Cognitive Science · doi:10.1016/0364-0213(88)90023-7 · Cited by 11,048 · cited 1× · see citing works
“Cogni - tive load theory posits that when cognitive resources are freed from usability chal - lenges, learners can allocate more attention to task completion and problem-solving (Sweller, 1988; Zheng et al., 2024 ).”
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
Hair, J. F., Howard, M. C., & Nitzl, C. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2019.11.069 · Cited by 5,446 · see citing works
The general causality orientations scale: Self-determination in personality
Deci, E. L., & Ryan, R. M. (1985) · Journal of Research in Personality · doi:10.1016/0092-6566(85)90023-6 · Cited by 5,094 · see citing works
Attachment and loss: Retrospect and prospect.
Bowlby, J. (1982) · American Journal of Orthopsychiatry · doi:10.1111/j.1939-0025.1982.tb01456.x · Cited by 2,930 · see citing works
The Ties That Bind: Measuring the Strength of Consumers’ Emotional Attachments to Brands
Thomson, M., MacInnis, D. J., & Whan Park, C. (2005) · Journal of Consumer Psychology · doi:10.1207/s15327663jcp1501_10 · Cited by 2,713 · see citing works
Taylor, S. F., & Todd, P. (1995) · International Journal of Research in Marketing · doi:10.1016/0167-8116(94)00019-k · Cited by 1,570 · see citing works
On the relationship between coefficient alpha and composite reliability.
Peterson, R. A., & Kim, Y. (2012) · Journal of Applied Psychology · doi:10.1037/a0030767 · Cited by 1,142 · see citing works
Chatbot e-service and customer satisfaction regarding luxury brands
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.004 · Cited by 1,005 · see citing works
Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot
Chiu, T. K. F., Moorhouse, B. L., Chai, C. S., & Ismailov, M. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2172044 · Cited by 707 · see citing works
Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2023) · Information Systems Frontiers · doi:10.1007/s10796-022-10291-4 · Cited by 685 · see citing works
Chong, A. Y. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.08.067 · Cited by 423 · see citing works
The Influence of ChatGPT on Student Engagement: A Systematic Review and Future Research Agenda
Lo, C. K., Hew, K. F., & Jong, M. S.-Y. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105100 · Cited by 392 · see citing works
Vlachogianni, P., & Tselios, N. K. (2021) · Journal of Research on Technology in Education · doi:10.1080/15391523.2020.1867938 · Cited by 390 · see citing works
Distinguishing anger and anxiety in terms of emotional response factors.
Russell, J. A., & Mehrabian, A. (1974) · Journal of Consulting and Clinical Psychology · doi:10.1037/h0035915 · Cited by 365 · see citing works
Enhancing Student Engagement: Harnessing “AIED”’s Power in Hybrid Education—A Review Analysis
Almusaed, A., Almssad, A., Yitmen, İ., & Homod, R. Z. (2023) · Education Sciences · doi:10.3390/educsci13070632 · Cited by 316 · see citing works
Saif, N., Khan, S. U., Shaheen, I., ALotaibi, F. A., Alnfiai, M. M., & Arif, M. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2023.108097 · Cited by 301 · see citing works
Use of ChatGPT at University as a Tool for Complex Thinking: Students’ Perceived Usefulness
Romero-Rodríguez, J.-M., Ramírez-Montoya, M.-S., Buenestado-Fernández, M., & Lara-Lara, F. (2023) · Journal of New Approaches in Educational Research · doi:10.7821/naer.2023.7.1458 · Cited by 277 · see citing works
EURASIA Journal of Mathematics, Science and Technology Education
(2019) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste · Cited by 253 · see citing works
Dahri, N. A., Yahaya, N., Al-Rahmi, W. M., Aldraiweesh, A., Alturki, U., Almutairy, S., Shutaleva, A., & Soomro, R. B. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29317 · Cited by 239 · cited 1× · see citing works
“For example, Dahri et al. ( 2024 ) explored the acceptance of ChatGPT in supporting metacognitive self-regulated learning (MSRL) using an extended Technology Acceptance Model (TAM).”
Xia, Q., Chiu, T. K. F., Chai, C. S., & Xie, K. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13305 · Cited by 203 · see citing works
Assumptions of the Two-Step Approach to Latent Variable Modeling
Fornell, C., & Yi, Y. (1992) · Sociological Methods & Research · doi:10.1177/0049124192020003001 · Cited by 178 · see citing works
Li, K. (2023) · Sustainability · doi:10.3390/su15065221 · Cited by 157 · see citing works
Student Attitudes towards Chat GPT: A Technology Acceptance Model Survey
Yilmaz, H. S., Maxutov, S., Baitekov, A., & Balta, N. (2023) · International Educational Review · doi:10.58693/ier.114 · Cited by 155 · see citing works
Rethinking Traditional Methods of Survey Validation
Maul, A. (2017) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2017.1348108 · Cited by 147 · see citing works
Zong, Y., & Yang, L. (2025) · European Journal of Education · doi:10.1111/ejed.12925 · Cited by 140 · see citing works
Interactive Learning Environments
Psotka, J. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_321 · Cited by 136 · see citing works
Zheng, Y., Wang, Y.-B., Liu, K. S.-X., & Jiang, M. (2024) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-024-12763-3 · Cited by 133 · see citing works
Jo, H. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.102067 · Cited by 127 · see citing works
Enhancing User Experience With a Generative AI Chatbot
Kim, J. S., Kim, M., & Baek, T. H. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2311971 · Cited by 123 · see citing works
Self-citationQu, K.-Y., & Wu, X.-D. (2024) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-024-12598-y · Cited by 118 · see citing works
Chou, C.-M., Shen, T.-C., Shen, T.-C., & Shen, C.-H. (2022) · Education and Information Technologies · doi:10.1007/s10639-021-10866-9 · Cited by 114 · see citing works
Branded App Usability: Conceptualization, Measurement, and Prediction of Consumer Loyalty
Baek, T. H., & Yoo, C. Y. (2018) · Journal of Advertising · doi:10.1080/00913367.2017.1405755 · Cited by 94 · see citing works
Contero, M., Olmos-Raya, E., Ferreira-Cavalcanti, J., Castellanos, M. C., Giglioli, I. A. C., & Alcañiz, M. (2018) · EURASIA Journal of Mathematics, Science and Technology Education · doi:10.29333/ejmste/85874 · Cited by 83 · see citing works
How ChatGPT adoption stimulates digital entrepreneurship: A stimulus-organism-response perspective
Duong, C. D., & Nguyen, T. H. (2024) · The International Journal of Management Education · doi:10.1016/j.ijme.2024.101019 · Cited by 77 · see citing works
Huang, Y., & Huang, H. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2426029 · Cited by 58 · see citing works
Leveraging ChatGPT to enhance students’ writing skills, engagement, and feedback literacy
Oktarin, I. B., Saputri, M. E. E., Magdalena, B., Hastomo, T., & Maximilian, A. (2024) · Edelweiss Applied Science and Technology · doi:10.55214/25768484.v8i4.1600 · Cited by 57 · see citing works
Social television: Examining the antecedents and consequences of connected TV viewing
Lin, J.-S., Sung, Y., & Chen, K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.025 · Cited by 55 · see citing works
Duong, C. D. (2024) · Journal of Research in Innovative Teaching & Learning · doi:10.1108/jrit-01-2024-0006 · Cited by 49 · see citing works
Farah, M. F., Ramadan, Z. B., & Nassereddine, Y. (2024) · Psychology and Marketing · doi:10.1002/mar.22097 · Cited by 41 · see citing works
Kazu, İ. Y., & Kuvvetli, M. (2023) · International Journal of Psychology and Educational Studies · doi:10.52380/ijpes.2023.10.2.1044 · Cited by 39 · see citing works
Peng, Z., & Wan, Y. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12374-4 · Cited by 36 · see citing works
Toward a generalized model of human emotional attachment
Huang, L., Picart, J. A., & Gillan, D. J. (2020) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2020.1790690 · Cited by 29 · see citing works
EXPLORING THE PSYCHOLOGICAL IMPLICATIONS OF CHATGPT:A QUALITATIVE STUDY
Rad, D., & Rad, G. (2023) · Journal Plus Education · doi:10.24250/jpe/vol.321/2023/dr/gr · Cited by 23 · see citing works
Identification and emotional attachment in higher education: antecedents and consequences
Özer, M., Özer, A., & Koçak, A. (2021) · Journal of Marketing for HIGHER EDUCATION · doi:10.1080/08841241.2021.1936744 · Cited by 19 · see citing works
Kim, M., Knotts, T. L., Albers‐Miller, N. D., & James, K. E. (2022) · Education Sciences · doi:10.3390/educsci12120874 · Cited by 16 · see citing works
Self-citationStudents’ Response to ChatGPT: An Adaptive Technology-To-Performance Model
Zhang, X., Jiang, H., Qiao, Z., & Li, P. (2024) · Journal of Computer Information Systems · doi:10.1080/08874417.2024.2386546 · Cited by 16 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Systematic review of artificial intelligence in education: trends, benefits, and challenges
Garzón, J., Patiño, E., & Marulanda, C. (2025) · Multimodal Technologies and Interaction · doi:10.3390/mti9080084 · Cited by 265 · see citing works
“This spike likely correlates with the widespread release and adoption of generative AI tools, such as ChatGPT, which induced academic interest and application development [40,41].”
Zafar, S., Shaheen, F., & Khan, S. A. (2026) · Journal of Political Stability Archive · doi:10.63468/jpsa.4.2.17
- Authors
- Kim, M., Kim, J., Knotts, T. L., & Albers, N. D.
- Affiliations
- Louisiana State University (US)
- University of Kentucky (US)
- Corresponding author
- Kim, Minseong
- Venue
- Education and Information Technologies
- Published
- 2025-01-28
- Volume
- 30
- Issue
- 10
- Pages
- 14393-14414
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- OpenAlex
- W4406918334
- Cited by
- 38
- References
- 50
- Citations by year
- 2026: 22 · 2025: 16
- FWCI
- 39.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Education and Information Technologies (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- ChatGPT, generative AI adoption, technology acceptance, perceived usability, perceived enjoyment, perceived responsiveness, student motivation, emotional attachment, user satisfaction, continuance intention, undergraduate students, human-AI interaction, artificial intelligence in education
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
