Exploring the Impact of Using Chatbots on Teacher-student Relationships in Today's Higher Education

Authors

  • Zhaoyi Zou

DOI:

https://doi.org/10.54097/0pev3z68

Keywords:

chatbots, higher education, teacher-student relationships.

Abstract

Artificial Intelligence, represented by chatbots, has transformed the teaching and learning ecosystem in higher education. Chatbots are attracting much attention from the education community as an emerging technology application. This study aims to explore the impact of chatbots on teacher-student relationships in higher education by reviewing and analyzing relevant literature. It was found that chatbots play an important role in higher education and can facilitate effective interaction between teachers and students while improving teaching efficiency. Moreover, with their personalized features, teachers can provide customized guidance to students, leading to a more harmonious relationship. While as the use of chatbots has proliferated, some challenges have arisen. The main issues include the trust between teachers and students and the leakage of privacy. In addition, over-reliance on technology may lead to a cold and impersonal interaction between teachers and students. The comprehensive results of the study show that chatbots have both positive and some potentially negative impacts on teacher-student relationships. To better utilize the advantages of chatbots, effective measures need to be taken to circumvent the challenges, thereby promoting the further development of teacher-student relationships in higher education.

Downloads

Download data is not yet available.

References

[1] Adamopoulou E, Moussiades L. An overview of chatbot technology. IFIP international conference on artificial intelligence applications and innovations. Springer, Cham, 2020.

[2] Shawar B A, Atwell E. Chatbots: are they really useful?. Journal for Language Technology and Computational Linguistics, 2007, 22(1): 29-49.

[3] Adamopoulou E, Moussiades L. Chatbots: History, technology, and applications. Machine Learning with applications, 2020, 2: 100006.

[4] Zhou L, Gao J, Li D, et al. The design and implementation of xiaoice, an empathetic social chatbot. Computational Linguistics, 2020, 46(1): 53-93.

[5] Bernard D, Arnold A. Cognitive interaction with virtual assistants: From philosophical foundations to illustrative examples in aeronautics. Computers in Industry, 2019, 107: 33-49.

[6] Okonkwo C W, Ade-Ibijola A. Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2021, 2: 100033.

[7] Cunningham-Nelson S, Boles W, Trouton L, et al. A review of chatbots in education: practical steps forward. 30th annual conference for the australasian association for engineering education (AAEE 2019): educators becoming agents of change: innovate, integrate, motivate. Engineers Australia, 2019: 299-306.

[8] Quincey E, Briggs C, Kyriacou T, et al. Student centred design of a learning analytics system. Proceedings of the 9th international conference on learning analytics & knowledge. 2019: 353-362.

[9] Yu Nangping, Zhang Yiran. The impact of ChatGPT/generative artificial intelligence on education: a new frontier in the game between great powers. Journal of East China Normal University (Educational Science Edition), 2023, 07: 15-25.

[10] Rahiman H U, Kodikal R. Revolutionizing education: Artificial intelligence empowered learning in higher education. Cogent Education, 2024, 11(1): 2293431.

[11] Fryer L K, Nakao K, Thompson A. Chatbot learning partners: Connecting learning experiences, interest and competence. Computers in human Behavior, 2019, 93: 279-289.

[12] Güner H, Er E, Akçapinar G, et al. From chalkboards to AI-powered learning. Educational Technology & Society, 2024, 27(2): 386-404.

[13] Fernoagă V, Stelea G A, Gavrilă C, et al. Intelligent Education Assistant Powered by Chatbots. eLearning & Software for Education, 2018, 2.

[14] Luo J. How does GenAI affect trust in teacher-student relationships? Insights from students’ assessment experiences. Teaching in Higher Education, 2024: 1-16.

[15] Wang Youmei, Wang Dan, Liang Weiyi, et al. Ethical Risks and Mitigation Approaches in the Educational Application of ChatGPT. Open Education research, 2023, 02: 26-35.

[16] Zhou Hongyu, Chang Shunli. The future landscape, potential risks, and governance of generative artificial intelligence embedded in higher education. Modern Education Management, 2023, 11: 1-12.

[17] Xie T, Pentina I, Hancock T. Friend, mentor, lover: does chatbot engagement lead to psychological dependence?. Journal of service Management, 2023, 34(4): 806-828.

[18] Li Jihong, Wang Haiying, Wang Dalei. Real Challenges and Practical Approaches in Building a New Type of Teacher-Student Relationship in Vocational Colleges from the Perspective of Generative Artificial Intelligence. Education and Vocation, 2024, 11: 78-84.

[19] Aljanabi M. ChatGPT: Future directions and open possibilities. Mesopotamian journal of Cybersecurity, 2023: 16-17.

[20] Qadir J. Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. 2023 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2023: 1-9.

[21] Zhai X. ChatGPT user experience: Implications for education[J]. Available at SSRN 4312418, 2022.

[22] Lund B D, Wang T. Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library hi tech news, 2023, 40(3): 26-29.

[23] Hasal M, Nowaková J, Ahmed Saghair K, et al. Chatbots: Security, privacy, data protection, and social aspects. Concurrency and Computation: Practice and Experience, 2021, 33(19): e6426.

Downloads

Published

26-12-2024

How to Cite

Zou, Z. (2024). Exploring the Impact of Using Chatbots on Teacher-student Relationships in Today’s Higher Education. Journal of Education, Humanities and Social Sciences, 45, 33-39. https://doi.org/10.54097/0pev3z68