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Culture, Education, and Future
e‑ISSN 2980-2741 Open Access · CC BY 4.0
Vol. 3 · Issue 3 · 2025 Dec 27, 2025 Articles

AI in education, ChatGPT, and personalized learning: Measuring public attention in Pakistan through Google Trends

SU
Sohaib Ullah Corresponding Southwest University sohaibullah09@gmail.com China
H
Hafiz Muhammad Sikandar Southwest University China
AJ
Abbas Jihad Southwest University China
M
Muhammad Maaz Southwest University China
Pages391-404 PublishedDec 27, 2025 LicenseOpen Access
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Vol. 3 No. 3 (2025): CEF Journal
VOL 3 · NO 3 · 2025 CEF Journal View issue

Abstract

This study examines public interest in Artificial Intelligence (AI) in education, specifically analyzing the terms ‘AI in education,’ ‘ChatGPT in education,’ and ‘Personalized Learning’ in the Pakistani context from December 2019 to July 2025, utilizing data from Google Trends. Employing an infodemiological approach, the study tracks fluctuations in search volume to gauge societal attention to AI-driven educational technologies. The findings reveal a substantial increase in interest in AI and ChatGPT in education, starting in late 2023, with peak interest occurring in early 2025. In contrast, Personalized Learning exhibited a more modest growth pattern, marked by sporadic spikes in search interest. The regional analysis of search interest identified Islamabad and Azad Jammu & Kashmir (AJK) as the regions with the highest engagement with AI-related educational terms. Notably, Balochistan demonstrated the highest interest in AI in education, followed by Islamabad and AJK, while Sindh exhibited comparatively lower levels of engagement. It is essential to highlight that high search interest does not necessarily correlate with increased adoption or infrastructural capacity. The elevated RSV in Balochistan for AI in education may reflect heightened curiosity, media visibility, or policy discourse, rather than widespread implementation in educational settings. The results underscore the growing recognition of AI’s potential to revolutionize the education sector. However, challenges such as limited infrastructure and digital literacy remain significant barriers to broader adoption. The study advocates for the development of targeted policies, AI literacy programs, and region-specific initiatives to ensure equitable access to AI-enhanced educational solutions.

Keywords

References

  1. Abbas, J., Balsalobre-Lorente, D., Amjid, M. A., Al-Sulaiti, K., Al-Sulaiti, I., & Aldereai, O. (2024). Financial innovation and digitalization promote business growth: The interplay of green technology innovation, product market competition and firm performance. Innovation and Green Development, 3(1), 100111. https://doi.org/10.1016/j.igd.2023.100111 DOI: https://doi.org/10.1016/j.igd.2023.100111
  2. Adelhoefer, S., Berning, P., Solomon, S. B., Maybody, M., Whelton, S. P., Blaha, M. J., & Dzaye, O. (2021). Decreased public pursuit of cancer-related information during the COVID-19 pandemic in the United States. Cancer Causes & Control, 32(6), 577–585. https://doi.org/10.1007/s10552-021-01409-1 DOI: https://doi.org/10.1007/s10552-021-01409-1
  3. Ahmad, T., Haroon., Khan, M., Murad, M. A., Baig, M., Murtaza, B. N., Khan, M. M., Harapan, H., & Hui, J. (2021). Research trends in rabies vaccine in the last three decades: A bibliometric analysis of global perspective. Human Vaccines & Immunotherapeutics, 17(9), 3169–3177. https://doi.org/10.1080/21645515.2021.1910000 DOI: https://doi.org/10.1080/21645515.2021.1910000
  4. Aziz, A., Saleem, S., Nolen, T. L., Pradhan, N. A., McClure, E. M., Jessani, S., Garces, A. L., Hibberd, P. L., Moore, J. L., & Goudar, S. S. (2020). Why are the Pakistani maternal, fetal and newborn outcomes so poor compared to other low and middle-income countries? Reproductive Health, 17(Suppl 3), 190. https://doi.org/10.1186/s12978-020-01023-5 DOI: https://doi.org/10.1186/s12978-020-01023-5
  5. Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability, 15(17), 12983. https://doi.org/10.3390/su151712983 DOI: https://doi.org/10.3390/su151712983
  6. Božić, V., & Poola, I. (2023). Chat GPT and education [Preprint]. ResearchGate. https://www.researchgate.net/publication/369926506_Chat_GPT_and_education
  7. Eysenbach, G. (2009). Infodemiology and infoveillance: Framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. Journal of Medical Internet Research, 11(1), e1157. https://doi.org/10.2196/jmir.1157 DOI: https://doi.org/10.2196/jmir.1157
  8. Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216 DOI: https://doi.org/10.3390/educsci13121216
  9. Kabanda, M. (2025). Artificial intelligence integration in higher education: Enhancing academic processes and leadership dynamics [Unpublished manuscript]. https://orcid.org/0000-0001-5304-7927 DOI: https://doi.org/10.2139/ssrn.5255069
  10. Khalid, M. U., & Qureshi, J. A. (2020). The strategic role of public policies in technological innovation in Pakistan and lessons learnt from advanced countries: A comparative literature review. Journal of Organizational Behavior Research, 5(1–2020), 212–232.
  11. Lim, S. C. L., Hor, C. P., Tay, K. H., Jelani, A. M., Tan, W. H., Ker, H. B., Chow, T. S., Zaid, M., Cheah, W. K., & Lim, H. H. (2022). Efficacy of ivermectin treatment on disease progression among adults with mild to moderate COVID-19 and comorbidities: The I-TECH randomized clinical trial. JAMA Internal Medicine, 182(4), 426–435. https://doi.org/10.1001/jamainternmed.2021.8540
  12. Mavragani, A., & Ochoa, G. (2019). Google Trends in infodemiology and infoveillance: Methodology framework. JMIR Public Health and Surveillance, 5(2), e13439. https://doi.org/10.2196/13439 DOI: https://doi.org/10.2196/13439
  13. Nuti, S. V., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I., & Murugiah, K. (2014). The use of Google Trends in health care research: A systematic review. PLoS ONE, 9(10), e109583. https://doi.org/10.1371/journal.pone.0109583 DOI: https://doi.org/10.1371/journal.pone.0109583
  14. Palle, S. M. (2025). Teachers’ readiness to integrate AI in education (AIEd): AI literacy of K-12 teachers in India and its influence on their readiness to integrate AIEd [Unpublished manuscript].
  15. Qayyum, A., Arslan, A., Haneef, A., Malik, S. N. K., Rehman, A. U., Asim, M., Ahmad, S., ElAffendi, M. A., & Khan, S. N. (2024). Innovation: Technology, market, and complexity. Journal Title Not Specified.
  16. Qayyum, H., Tian, W., Gong, X., Zhi, L., Raza, A., Xia, X., Gou, J., He, Z., & Rasheed, A. (2024). Modern wheat varieties demonstrated higher grain yield and health-promoting ferulic acid than old varieties in Pakistan. ACS Food Science & Technology, 4(11), 2699–2706. https://doi.org/10.1021/acsfoodscitech.4c00458 DOI: https://doi.org/10.1021/acsfoodscitech.4c00617
  17. Rahman, M. A., Lesmawan, H., Choirudin, M., Rajab, L., & Aziz, A. (2024). Integrating digital tools in Islamic religious education: Enhancing engagement and understanding in the modern classroom. The Journal of Academic Science, 1(8), 1036–1042.
  18. Rehman, A., Batool, Z., Ain, Q. U., Liu, R., Ahmad, M. I., Ma, H., & Ozturk, I. (2025). How does commercial energy impact Pakistan’s environmental quality? The case of the agricultural, industrial and transportation industries. Environment, Development and Sustainability, 1–26. https://doi.org/10.1007/s10668-024-05615-0 DOI: https://doi.org/10.1007/s10668-025-06450-7
  19. Rovetta, A., & Castaldo, L. (2022). A new infodemiological approach through Google Trends: Longitudinal analysis of COVID-19 scientific and infodemic names in Italy. BMC Medical Research Methodology, 22(1), 33. https://doi.org/10.1186/s12874-022-01511-y DOI: https://doi.org/10.1186/s12874-022-01523-x
  20. Shams, M. A., Sattar, H. A., Ahmad, F., Shahid, U., & Bashir, B. (2025). Assessing the digital divide and its implications in Pakistan: The role of media. Journal of Media Horizons, 6(5), 720–744.
  21. Tuomi, I., Holmes, W., & Miller, R. (2022). Charting the futures of artificial intelligence in education. European Journal of Education, 57(4), 542–559. https://doi.org/10.1111/ejed.12527 DOI: https://doi.org/10.1111/ejed.12530
  22. Yadav, B. (2024). Generative AI in the era of transformers: Revolutionizing natural language processing with LLMs. Journal of Image Processing and Intelligent Remote Sensing, 4(2), 54–61. DOI: https://doi.org/10.55529/jipirs.42.54.61
  23. Yadav, D. (2024). Navigating the landscape of AI integration in education: Opportunities, challenges, and ethical considerations for harnessing the potential of artificial intelligence (AI) for teaching and learning. BSSS Journal of Computer, 15(1), 38–48. DOI: https://doi.org/10.51767/jc1503
  24. Yadav, A., Garg, R. K., & Sachdeva, A. (2024). Artificial intelligence applications for information management in sustainable supply chain management: A systematic review and future research agenda. International Journal of Information Management Data Insights, 4(2), 100292. https://doi.org/10.1016/j.jjimei.2024.100292 DOI: https://doi.org/10.1016/j.jjimei.2024.100292
  25. Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., & Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021, 8812542. https://doi.org/10.1155/2021/8812542

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