Exploring the Impact of Artificial Intelligence on Students' Engagement and Motivation in Online Learning Environments

Authors

DOI:

https://doi.org/10.48112/tibss.v2i4.959

Abstract

Abstract Views: 1450

Artificial intelligence-based education provides a new foundation for current educational institutions worldwide, generating improvements in teaching and learning methodologies. The study's primary purpose was to investigate the influence of artificial intelligence, namely ChatGPT, on student engagement and provocation in online learning settings. The study employed a quantitative research methodology. The survey included all undergraduate students from Karachi's public and private sector universities. The researcher used a purposive and snowball sampling technique to select a sample of undergraduate students. A questionnaire was created to collect data. The data were analysed and the major findings demonstrated that ChatGPT had a substantial and favourable influence on students' academic engagement, motivation, and online learning settings. The study emphasized students' increasing involvement with AI in their online learning process, providing useful information for policymakers, educators, and practitioners, allowing them to develop more successful plans for educational institutions.

Keywords:

Artificial intelligence, ChatGPT, Online learning environments, Students’ engagement, Students’ motivation

Author Biographies

Nosheen Rehman,

She is a Research Scholar at the Department of Education, Hamdard University in Karachi – Pakistan. She received her Master in Chemistry from Peshawar University in Peshawar – Pakistan.  

Muhammad Akhtar Kang (Ph.D),

He is an Associate Professor at the Department of Education, Hamdard University in Karachi – Pakistan. He obtained his Post-Doctorate in Education from the International Islamic University (IIU) in Islamabad – Pakistan.

References

Ahmad, S. F., Alam, M. M., Rahmat, M. K., Mubarik, M. S., & Hyder, S. I. (2022). Academic and administrative role of artificial intelligence in education. Sustainability, 14(3), 12902. https://doi.org/10.1057/s41599-023-01787-8

Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M., Irshad, M., Arraño-Muñoz, M., & Ariza-Montes, A. (2023). Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Humanities and Social Sciences Communications, 10(1), 1-14. https://doi.org/10.1057/s41599-023-01787-8

Ajideh, P., Ansarin, A. A., Zohrabi, M., & Nouri, Z. (2024). An analysis of interactive and interactional metadiscourse: Native vs. non-native author dichotomy. Teaching English as a Second Language Quarterly (Formerly Journal of Teaching Language Skills), 43(2), 31-48. https://doi.org/10.22099/tesl.2024.49202.3253

Arshad, N., Baber, M. U., & Ullah, A. (2024). Assessing the transformative influence of ChatGPT on research practices among scholars in Pakistan. Mesopotamian Journal of Big Data, 2024(1), 1–10. https://doi.org/10.58496/MJBD/2024/001

Bagunaid, W., Chilamkurti, N., & Veeraraghavan, P. (2022). AISAR: Artificial intelligence-based student assessment and recommendation system for e-learning in big Data. Sustainability, 14(17), 10551. https://doi.org/10.3390/su141710551

Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62. https://doi.org/10.61969/jai.1337500

Caraig, R. V., & Fabro, R. G. (2022). Students’ engagement and study habits in the online distance learning environment. International Journal of Scientific Research in Multidisciplinary Studies, 8(9), 25–31.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8(4), 75264–75278. https://doi.org/10.1016/j.chb.2010.01.011

Du, H., Xing, W., & Zhu, G. (2023). Mining teacher informal online learning networks: Insights from massive educational chat tweets. Journal of Educational Computing Research, 61(1), 127–150. https://doi.org/10.1177/07356331221103764

Fitria, T. N. (2023). Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay. ELT Forum: Journal of English Language Teaching, 12(1), 44–58. https://doi.org/10.15294/elt.v12i1.64069

Geffen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example. Communications of the Association for Information Systems, 16(1), 91–109. https://doi.org/10.17705/1CAIS.01605

Hu, L.-t., & Bentler, P.M. (1998). Fit indices in covariance structure modelling: Sensitivity to under parameterized model misspecification. Psychological Methods, 3(4), 424. https://psycnet.apa.org/doi/10.1037/1082-989X.3.4.424

Huang, C. H. (2021). Using PLS-SEM model to explore the influencing factors of learning satisfaction in blended learning. Education Sciences, 11(5), 249. https://doi.org/10.3390/educsci11050249

Kuraku, S., Samaah, F., Kalla, D., & Smith, N. (2023). Study and analysis of Chat GPT and its impact on different fields of study. International journal of Innovative Science and Research, 8(3), 827-833. https://doi.org/10.5281/zenodo.7767675

Leiter, C., Zhang, R., Chen, Y., Belouadi, J., Larionov, D., Fresen, V., & Eger, S. (2024). ChatGPT: A meta-analysis after 2.5 months. Machine Learning with Applications, 16 (1), 100541. https://doi.org/10.1016/j.mlwa.2024.100541

Lo, K. W., Ngai, G., Chan, S. C., & Kwan, K. P. (2022). How students’ motivation and learning experience affect their service-learning outcomes: A structural equation modeling analysis. Frontiers in Psychology, 13, 825902. https://doi.org/10.3389/fpsyg.2022.825902

Martin, F., & Borup, J. (2022). Online learner engagement: Conceptual definitions, research themes, and supportive practices. Educational Psychologist, 57(3), 162–177. https://doi.org/10.1080/00461520.2022.2089147

Memon, M. A., Ramayah, T., Cheah, J. H., Ting, H., Chuah, F., & Cham, T. H. (2021). PLS-SEM statistical programs: a review. Journal of Applied Structural Equation Modeling, 5(1), 1-14. https://doi.org/10.47263/JASEM.5(1)06

Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science, and Technology Education, 19(8), em 2307. https://doi.org/10.29333/ejmste/13428

Saeed, S., & Kang, M. A. (2024). The impact of digital leadership on the performance of secondary teachers. Academy of Education and Social Sciences Review, 4(1), 12-20. https://doi.org/10.48112/aessr.v4i1.696

Saqlain, M. (2023). Revolutionizing political education in Pakistan: An AI-integrated approach. Education Science and Management, 1(3), 122–131. https://doi.org/10.56578/esm010301

Shah, M. H. A., Dharejo, N., Shah, S. A. A., Dayo, F., & Murtaza, G. (2024, January). Designing a Conceptual Model: Predictors Influencing the Acceptance of ChatGPT Usage in the Academia of Underdeveloped Countries. In 2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC) (pp. 1-5). IEEE. https://doi.org/10.1109/KHI-HTC60760.2024.10482004

Shahzad, M. F., Xu, S., Lim, W. M., Yang, X., & Khan, Q. R. (2024). Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning. Heliyon, 10(8), e29523. https://doi.org/10.1016/j.heliyon.2024.e29523

Venkatesh, V. (2022). Adoption and use of AI tools: A research agenda grounded in UTAUT. Annals of Operations Research, 308(1), 1–21.https://doi.org/10.1007/s10479-020-03918-9

Zohuri, B., & Mossavar-Rahmani, F. (2020). Artificial intelligence versus human intelligence: A new technological race. Acta Scientific Pharmaceutical Sciences, 4, 50–58. https://doi.org/10.31080/ASPS.2020.04.0530

Published

2024-12-31

How to Cite

Rehman, N., & Kang, M. A. (2024). Exploring the Impact of Artificial Intelligence on Students’ Engagement and Motivation in Online Learning Environments. International Journal of Trends and Innovations in Business & Social Sciences, 2(4), 537–548. https://doi.org/10.48112/tibss.v2i4.959

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 > >> 

You may also start an advanced similarity search for this article.