The Influence of ChatGPT on Social Science Students: Insights Drawn from Undergraduate Students in the United States

Mohaimenul Islam Jowarder

doi:10.47540/ijias.v3i2.878

Authors

Mohaimenul Islam Jowarder Department of Management Information System, Lamar University, United States

DOI:

https://doi.org/10.47540/ijias.v3i2.878

Keywords:

ChatGPT, Influence, Social Science, Undergraduate Students, United States

Abstract

Recently, the artificial intelligence known as ChatGPT has turned into a global sensation, especially among students. This research paper investigates the influence of this AI-powered chatbot, on undergraduate social science students based on insights drawn from semi-structured interviews. The study aims to understand the level of awareness, adoption, perceived usefulness, and impact of ChatGPT on academic performance. 200 undergraduate students were selected and verbatim transcription was used and later thematic analysis was implemented. We implied our custom code to analyze the data based on sample collection from the students. The findings indicate that most of the participants were aware of ChatGPT and had used it for academic work. Perceived usefulness and ease of use were found to be significant factors that influenced the adoption of this technology. Social influence was also found to be a significant factor, with peer recommendations playing a role in shaping students' attitudes toward new technology. ChatGPT had a positive impact on the academic performance of the participants, particularly in assisting them in understanding difficult concepts and providing them with relevant study materials. The study suggests that chatbots can be valuable tools for learning and academic assistance, particularly in disciplines such as social science that require extensive research and analysis. The findings provide useful insights for educators and researchers seeking to integrate chatbots into existing teaching and learning methods to optimize their benefits. More research is needed to assess the future impacts on students and the education sector alike.

References

Simeone, A. L., Cools, R., Depuydt, S., Gomes, J. M., Goris, P., Grocott, J., ... & Gerling, K. (2022, April). Immersive speculative enactments: bringing future scenarios and technology to life using virtual reality. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-20).

Anderson, M. (2016). More Americans using smartphones for getting directions, streaming TV. Washington, D.C.: Pew Research Center.

Anderson, M., & Horrigan, J. B. (2016). Smartphones help those without broadband get online, but don’t necessary bridge the digital divide. Washington, D.C.: Pew Research Center.

Andrew, L., Maslin-Prothero, S., & Ewens, B. (2015). Enhancing the online learning experience using virtual interactive classrooms. Australian Journal of Advanced Nursing, 32(4), 22–31.

Olimov, S. S., & Mamurova, D. I. (2022). Information Technology in Education. Pioneer: Journal of Advanced Research and Scientific Progress, 1(1), 17-22.

Armier, D. J., Shepherd, C. E., & Skrabut, S. (2016). Using game elements to increase student engagement in course assignments. College Teaching, 64(2), 64–72.

Ashrafzadeh, A., & Sayadian, S. (2015). University instructors’ concerns and perceptions of technology integration. Computers in Human Behavior, 49, 62–73.

Bakker, A. B., Vergel, A. I. S., & Kuntze, J. (2015). Student engagement and performance: A weekly diary study on the role of openness. Motivation and Emotion, 39(1), 49–62.

Wei, Y. (2022). Toward technology-based education and English as a foreign language motivation: A review of literature. Frontiers in Psychology, 13, 870540.

Boyle, E. A., Hainey, T., Connolly, T. M., Gray, G., Earp, J., Ott, M., et al. (2016). An update to the systematic literature review of empirical evidence of the impacts and outcomes of computer games and serious games. Computers & Education, 94, 178–192.

Buchanan, T., Sainter, P., & Saunders, G. (2013). Factors affecting faculty use of learning technologies: Implications for models of technology adoption. Journal of Computer in Higher Education, 25(1), 1–11.

Jobirovich, Y. M. (2022). Effectiveness of using digital technologies in educational system. European Journal of Modern Medicine and Practice, 2(4), 124-128.

Urbina, F., Lentzos, F., Invernizzi, C., & Ekins, S. (2022). Dual use of artificial-intelligence-powered drug discovery. Nature Machine Intelligence, 4(3), 189-191.

Romero-Martín, S., Elías-Cabot, E., Raya-Povedano, J. L., Gubern-Mérida, A., Rodríguez-Ruiz, A., & Álvarez-Benito, M. (2022). Stand-alone use of artificial intelligence for digital mammography and digital breast tomosynthesis screening: a retrospective evaluation. Radiology, 302(3), 535-542.

Cassidy, E. D., Colmenares, A., Jones, G., Manolovitz, T., Shen, L., & Vieira, S. (2014). Higher Education and Emerging Technologies: Shifting Trends in Student Usage. The Journal of Academic Librarianship, 40, 124–133.

Center for Postsecondary Research (2016). Engagement insights: Survey findings on the quality of undergraduate education. Retrieved from http://nsse.indiana.edu/NSSE_2016_Results/pdf/NSSE_2016_Annual_Results.pdf.

Center for Postsecondary Research (2017). About NSSE. Retrieved on February 15, 2017 from http://nsse.indiana.edu/html/about.cfm

Chang, J. W., & Wei, H. Y. (2016). Exploring Engaging Gamification Mechanics in Massive Online Open Courses. Educational Technology & Society, 19(2), 177–203.

Chawinga, W. D. (2017). Taking social media to a university classroom: teaching and learning using Twitter and blogs. International Journal of Educational Technology in Higher Education, 14(1), 3.

Chen, B., Seilhamer, R., Bennett, L., & Bauer, S. (2015). Students’ mobile learning practices in higher education: A multi-year study. In EDUCAUSE Review Retrieved from http://er.educause.edu/articles/2015/6/students-mobile-learning-practices-in-higher-education-a-multiyear-study.

Rokan, N. Z., & Monang, S. (2023). The Impact of Tiktok Application Users in Social Life. International Journal of Cultural and Social Science, 4(2), 66-71.

Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y. S., Kay, J., ... & Gašević, D. (2022). Explainable artificial intelligence in education. Computers and Education: Artificial Intelligence, 3, 100074.

Dichev, C., & Dicheva, D. (2017). Gamifying education: What is known, what is believed and what remains uncertain: A critical review. International Journal of Educational Technology in Higher Education, 14(9), 1–36.

Muydinovich, R. I., Valentinovna, M. S., & Xabibjonqizi, M. D. (2022). The Role of Information Technology in Modern Methods in the System of Higher Education. International Journal of Early Childhood Special Education, 14(7).

Dyson, B., Vickers, K., Turtle, J., Cowan, S., & Tassone, A. (2015). Evaluating the use of Facebook to increase student engagement and understanding in lecture-based classes. Higher Education: The International Journal of Higher Education and Educational Planning, 69(2), 303–313.

Evans, C. (2014). Twitter for teaching: Can social media be used to enhance the process of learning? British Journal of Educational Technology, 45(5), 902–915

Farley, P. C. (2013). Using the computer game “FoldIt” to entice students to explore external representations of protein structure in a biochemistry course for nonmajors. Biochemistry and Molecular Biology Education, 41(1), 56–57

Greenwood, S., Perrin, A., & Duggan, M. (2016). Social media update 2016. Washington.: Pew Research Center.

Hew, K. F., Huang, B., Chu, K. S., & Chiu, D. K. (2016). Engaging Asian students through game mechanics: Findings from two experiment studies. Computers & Education, 93, 221–236.

Hewege, C. R., & Perera, L. R. (2013). Pedagogical significance of wikis: Towards gaining effective learning outcomes. Journal of International Education in Business, 6(1), 51–70.

Hou, H., Wang, S., Lin, P., & Chang, K. (2015). Exploring the learner’s knowledge construction and cognitive patterns of different asynchronous platforms: comparison of an online discussion forum and Facebook. Innovations in Education and Teaching International, 52(6), 610–620.

Xue, Y., & Wang, Y. (2022). Artificial intelligence for education and teaching. Wireless Communications and Mobile Computing, 2022, 1-10.

Ibáñez, M. B., Di-Serio, A., & Delgado-Kloos, C. (2014). Gamification for engaging computer science students in learning activities: A case study. IEEE Transactions on Learning Technologies, 7(3), 291–301

Xia, Q., Chiu, T. K., Zhou, X., Chai, C. S., & Cheng, M. (2022). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 100118.

Junco, R., Elavsky, C. M., & Heiberger, G. (2013). Putting Twitter to the test: Assessing outcomes for student collaboration, engagement and success. British Journal of Educational Technology, 44(2), 273–287.

Kidd, T., Davis, T., & Larke, P. (2016). Experience, adoption, and technology: Exploring the phenomenological experiences of faculty involved in online teaching at once school of public health. International Journal of E-Learning, 15(1), 71–99.

Kopcha, T. J., Rieber, L. P., & Walker, B. B. (2016). Understanding university faculty perceptions about innovation in teaching and technology. British Journal of Educational Technology, 47(5), 945–957.

Malinka, K., Peresíni, M., Firc, A., Hujnák, O., & Janus, F. (2023, June). On the educational impact of chatgpt: Is artificial intelligence ready to obtain a university degree?. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1 (pp. 47-53).

Lee, H., & Hwang, Y. (2022). Technology-enhanced education through VR-making and metaverse-linking to foster teacher readiness and sustainable learning. Sustainability, 14(8), 4786.

George, A. S., & George, A. H. (2023). A review of ChatGPT AI's impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9-23.

Limna, P., Jakwatanatham, S., Siripipattanakul, S., Kaewpuang, P., & Sriboonruang, P. (2022). A review of artificial intelligence (AI) in education during the digital era. Advance Knowledge for Executives, 1(1), 1-9.

Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542-570.

Zhao, B. (2023). Analysis on the Negative Impact of AI Development on Employment and Its Countermeasures. In SHS Web of Conferences (Vol. 154, p. 03022). EDP Sciences.

Reeder, K., & Lee, H. (2022). Impact of artificial intelligence on US medical students' choice of radiology. Clinical imaging, 81, 67-71.

Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 1-25.