ChatGPT as a Scaffold for Strategic Academic Reading in Tertiary Education: A Bibliometric Study

The rapid integration of generative artificial intelligence, particularly ChatGPT, into higher education has sparked growing scholarly interest in its potential to support strategic academic reading and critical engagement with complex texts. While empirical studies on AI-assisted learning are increasing, the intellectual structure, research trends, and collaborative patterns surrounding ChatGPT as a scaffold for academic reading in tertiary education remain fragmented. Addressing this gap, the present study conducts a bibliometric analysis to systematically map the development, thematic focus, and global distribution of research in this emerging field. Using an advanced search strategy in the Scopus database, a total of 196 English-language journal articles published between 2021 and 2025 within the Social Sciences and Arts and Humanities were retrieved. Data were cleaned and harmonized using OpenRefine to ensure consistency, followed by statistical and graphical analysis through the Scopus Analyzer. VOSviewer software was then employed to visualize publication trends, citation impact, keyword co-occurrence, and international collaboration networks. The results reveal a marked growth in publications after 2022, reflecting heightened academic attention following the widespread adoption of ChatGPT in educational contexts. Citation analysis indicates that highly influential studies remain grounded in reading strategies, metacognition, and reading comprehension, while AI-related research is increasingly integrated into these pedagogical frameworks. Keyword co-occurrence mapping highlights stable learner-centered themes alongside emerging interests in technology-supported and inclusive reading practices. Geographically, research output is globally distributed but concentrated in a small number of leading countries, with collaboration networks showing moderate but uneven international connectivity. Overall, this bibliometric study positions ChatGPT not as a standalone innovation, but as an evolving pedagogical scaffold embedded within established research on strategic academic reading, offering insights for researchers, educators, and policymakers seeking to guide ethical and effective AI integration in tertiary education.

ChatGPT; Strategic Academic Reading; Tertiary Education; Bibliometric Analysis; Artificial Intelligence in Education

1. Abdallah, N., Katmah, R., Khalaf, K., & Jelinek, H. F. (2025). Systematic review of ChatGPT in higher education: Navigating impact on learning, wellbeing, and collaboration. In Social Sciences and Humanities Open (Vol. 12). Elsevier Ltd. https://doi.org/10.1016/j.ssaho.2025.101866 [Google Scholar] [Crossref]

2. Abdullah, A. D., Qiu, X., & Kabilan, M. K. (2025). “It Becomes Very Intelligent”: ChatGPT as an Academic Reading Tool for Postgraduates. Reading Research Quartely, 60(4). [Google Scholar] [Crossref]

3. Allahverdiyev, M., & Yucesoy, Y. (2017). Development stages and types of glass art from past to present. In International Journal of Sciences and Research (Vol. 73, Issue 4). [Google Scholar] [Crossref]

4. Appio, F. P., Cesaroni, F., & Minin, AD. (2014). Visualizing the structure and bridges of the intellectual property management and strategy literature: a document co-citation analysis. Scientometrics, 101, 623–661. [Google Scholar] [Crossref]

5. Brodsky, J. E., Brooks, P. J., Scimeca, D., Galati, P., Todorova, R., & Caulfield, M. (2021). Associations Between Online Instruction in Lateral Reading Strategies and Fact-Checking COVID-19 News Among College Students. AERA Open, 7. https://doi.org/10.1177/23328584211038937 [Google Scholar] [Crossref]

6. Cai, Y., & Yang, Y. (2022). The fluid relation between reading strategies and mathematics learning: A perspective of the Island Ridge Curve. Learning and Individual Differences, 98. https://doi.org/10.1016/j.lindif.2022.102180 [Google Scholar] [Crossref]

7. Dahlan, M. A., Omar, R., & Kamarudin, S. (2024). ChatGPT in Academia: A Holistic Examination of Student Performance and Future Implications.In: Hamdan,A, Harraf,A (eds) BUsiness Development via AI and Digitalization.STudies in Systems, Decisionand Control, (A. , H. Hamdan, Ed.; Springer, Cham, Vol. 538). Springer, Cham. [Google Scholar] [Crossref]

8. Fahimina, B., Sarkis, J., & Davarzni.H. (2015). Green supply chain management:A review and Bibliometric analysis. International Journal of Production Economics, 162, 101–114. [Google Scholar] [Crossref]

9. Faisal, E. (2024). Unlock the potential for Saudi Arabian higher education: a systematic review of the benefits of ChatGPT. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1325601 [Google Scholar] [Crossref]

10. George-Reyes, C. E., Avello-Martínez, R., & Buenestado-Fernández, M. (2025). Perceptions of ChatGPT and the Complexity of Its Impact Among Higher Education Students: Evidence Across Ten Countries of Latin America and Europe. Educational Process: International Journal, 15. https://doi.org/10.22521/edupij.2025.15.171 [Google Scholar] [Crossref]

11. Guanfang Zhao, C. G., & Liao, L. (2021). Metacognitive strategy use in L2 writing assessment. System, 98. https://doi.org/10.1016/j.system.2021.102472 [Google Scholar] [Crossref]

12. Hedlin, E., Estling, L., Wong, J., Demmans Epp, C., & Viberg, O. (2025). Got It! Prompting Readability Using ChatGPT to Enhance Academic Texts for Diverse Learning Needs. 15th International Conference on Learning Analytics and Knowledge, LAK 2025, 115–125. https://doi.org/10.1145/3706468.3706483 [Google Scholar] [Crossref]

13. Jahani, M., Baruah, B., & Wards, T. (2025). Exploring Ethical Awareness and Leanring Impact: A STudy on the Use of ChatGPT and Generative AI in Higher Education. 2025 34th Annual Conference of the European Association for Education in Electrical and Informatiobe Engineering (EAEEIE) , Cluj-Napoca, Romania, 1–5. [Google Scholar] [Crossref]

14. Klimova, B., Bachmann, P., & Frutos-Bencze, D. (2025). The use of ChatGPT in academia: perspectives of higher education students. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2508216 [Google Scholar] [Crossref]

15. Li, H., Gan, Z., Leung, S. O., & An, Z. (2022). The Impact of Reading Strategy Instruction on Reading Comprehension, Strategy Use, Motivation, and Self-Efficacy in Chinese University EFL Students. SAGE Open, 12(1). https://doi.org/10.1177/21582440221086659 [Google Scholar] [Crossref]

16. Li, L., & Lin, T. T. C. (2016). Examining Weibo posting anxiety among well-educated youth in China: A qualitative approach. Information Development, 32(4), 1240–1252. https://doi.org/10.1177/0266666915596057 [Google Scholar] [Crossref]

17. Liu, D., & Yu, J. (2023). Explicating reader behavior toward adoption of multi-screen devices: combination of TAM and HLM. Multimedia Tools and Applications, 82(3), 4479–4496. https://doi.org/10.1007/s11042-022-13576-7 [Google Scholar] [Crossref]

18. Martha, A. S. D., Widowati, S., & Rahayu, D. P. (2025). ASSESSING STUDENT READINESS AND PERCEPTIONS OF CHATGPT IN LEARNING: A CASE STUDY IN INDONESIAN HIGHER EDUCATION. Journal of Information Technology Education: Research, 24. https://doi.org/10.28945/5599 [Google Scholar] [Crossref]

19. Monib, W. K., & Mahmud, M. M. (2024). EXploring learners’ experineces and perceptions of ChatGPT as a learning tool in higher education. Educational and Information Technologies, 30, 917–939. [Google Scholar] [Crossref]

20. Oranpattanachai, P. (2023). Relationship between the Reading Strategy, Reading Self-Efficacy, and Reading Comprehension of Thai EFL Students. In Journal: Language Education and Acquisition Research Network (Vol. 16, Issue 1). https://so04.tci-thaijo.org/index.php/LEARN/index [Google Scholar] [Crossref]

21. O’Reilly, T., & McNamara, D. S. (2007). The Impact of Science Knowledge, Reading Skill, and Reading Strategy Knowledge on More Traditional “High-Stakes” Measures of High School Students’ Science Achievement. American Educational Research Journal, 44(1), 161–196. https://doi.org/10.3102/0002831206298171 [Google Scholar] [Crossref]

22. Plakans, L. (2009). The role of reading strategies in integrated L2 writing tasks. Journal of English for Academic Purposes, 8(4), 252–266. https://doi.org/10.1016/j.jeap.2009.05.001 [Google Scholar] [Crossref]

23. Rasul, T., Nair, S., Kalendra, D., Robin, M., Santini, F. de O., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1), 41–56. https://doi.org/10.37074/jalt.2023.6.1.29 [Google Scholar] [Crossref]

24. Salido, A., Syarif, I., Sitepu, M. S., Wana, P. R., Taufika, R., & Melisa, R. (2025). Integrating critical thinking and artificial intelligence in higher education: A bibliometric and systematic review of skills and strategies. Social Sciences and Humanities Open, 12. https://doi.org/10.1016/j.ssaho.2025.101924 [Google Scholar] [Crossref]

25. Salido, A., Syarif, I., Wana, P. R., Sitepu, M. S., & Melisa, R. (2025). Mapping the Landscape of Critical Thinking Skills in Higher Education in the AI Era: A Bibliometric and Systematic Literature Review. Journal of Culture and Values in Education, 8(2), 139–164. https://doi.org/10.46303/jcve.2025.23 [Google Scholar] [Crossref]

26. Shang, J., Huang, Y., Xu, M., Huang, Y., Shen, X., Wang, G., Wang, Y., & Zhang, L. (2025). Competition betwenn human learners and ChatGPT: enhancing university EFL students’ reading comprehension and critical thinking through competitive questioning. Computer Assisted Language Learning, 1–35. [Google Scholar] [Crossref]

27. Sun, Y., Wang, T. H., & Wang, L. F. (2021). Implementation of web-based dynamic assessments as sustainable educational technique for enhancing reading strategies in english class during the covid-19 pandemic. Sustainability (Switzerland), 13(11). https://doi.org/10.3390/su13115842 [Google Scholar] [Crossref]

28. Talwar, A., Magliano, J. P., Higgs, K., Santuzzi, A., Tonks, S., O’Reilly, T., & Sabatini, J. (2023). Early Academic Success in College: EXamining the Contributions of Reading Literacy Skills, metacognitive Reading Strategies, and Reading Motivation. Journal of College Reading and Learning, 53(1), 58–87. [Google Scholar] [Crossref]

29. Thongsan, N. C., & Anderson, N. J. (2025). View of From Passive Answers to Active Inquiry_ How AI Supports Critical Reading in EFL Classrooms. LEARNJournal: Language Education and Acquisition Research Network. [Google Scholar] [Crossref]

30. Tsai, MJ., Wu, A. H., Braten, C. Y., & Wang, C. Y. (2022). What do critical reading strategies look like? Eye-tracking and lag sequential analysis reveal attention to data and reasoning when reading conflicting information. . Computers & Education, 187, 1–15. [Google Scholar] [Crossref]

31. Van Eck, N. J., & Waltman, L. (2007). Bibliometric Mapping of the Computational Intelligence Field. International Journal of Uncertainty, Fuzziness and Knowledge- Based Systems, 15(5), 625–645. [Google Scholar] [Crossref]

32. Villanueva, J. M. (2022). Language profile, metacognitive reading strategies, and reading comprehension performance among college students. Cogent Education, 9(1). https://doi.org/10.1080/2331186X.2022.2061683 [Google Scholar] [Crossref]

33. Yapp, D., de Graaff, R., & van den Bergh, H. (2023). Effects of reading strategy instruction in English as a second language on students’ academic reading comprehension. Language Teaching Research, 27(6), 1456–1479. https://doi.org/10.1177/1362168820985236 [Google Scholar] [Crossref]

34. Zhang, L., Xu, M., Huang, Y., Huang, Y., Wang, G., & Shen, X. (2025). Reading differently with ChatGPT: EFL learners’ use of Question-Answer Relationship strategy. Reading in a Foreign Language, 37(1), 1–21. https://doi.org/10.64152/10125/67520 [Google Scholar] [Crossref]

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