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Published on 9 December 2024
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Zhou,J. (2024). The Impact of AI Use on College Students' Academic Self-efficacy: Exploring the Mediating Role of Anxiety. Lecture Notes in Education Psychology and Public Media,75,139-146.
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The Impact of AI Use on College Students' Academic Self-efficacy: Exploring the Mediating Role of Anxiety

Jinglin Zhou *,1,
  • 1 FuJian Normal University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-7048/2024.17925

Abstract

With the increasing use of artificial intelligence (AI) in higher education, the impact of AI-assisted learning on college students’ psychological factors has attracted attention, particularly in terms of anxiety and academic self-efficacy. Based on the Academic Self-Efficacy Scale and the AI Anxiety Scale (AIAS), the study used a questionnaire to collect valid data from 368 college students, and tested the mediating effect of AI anxiety on the relationship between AI use and academic self-efficacy. The study found that both AI use and AI anxiety positively affected academic self-efficacy, but AI anxiety did not play a mediating role between AI use and academic self-efficacy. Existing research and analysis suggest that the biased perception of AI among college students may confound study outcomes;and the integration of AI in education appears to trigger anxiety, consequently increasing students' focus on their studies.Future research can incorporate further additional variables to comprehensively explore the psychological mechanisms of the impact of AI use on college students.

Keywords

Artificial Intelligence, academic self-efficacy, higher education, anxiety, student psychology.

[1]. Aggarwal, N. (2019). Study of AI and its Applications. International Journal for Research in Applied Science and Engineering Technology.

[2]. Dhyani, S., Ahmad, I., Gupta, A., Singh, S., Pathak, A. K., & Yamsani, N. (2024, January). Role of Artifical Intelligence in Education Sector. In 2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC) (pp. 1-9). IEEE.

[3]. Begum, I. U. (2024). Role of AI in Higher Education-An Empirical Investigation. International Research Journal on Advanced Engineering and Management (IRJAEM), 2(03), 49-53.

[4]. Ojha, A.K. (2024). Psychological Impact of AI: Understanding Human Responses and Adaptations. Feb-Mar 2024.

[5]. Von Garrel, J., & Mayer, J. (2023). AI in studies—use of ChatGPT and AI-based tools among students in Germany. humanities and social sciences communications, 10(1), 1-9.

[6]. Rahim, N. A., Hanum, A. Z. A., Bhakti, M. A. C., & Wandy, W. (2023). AI Tools in Higher Education Students Usage Analysis–Case Study: Sampoerna University. Jurnal Teknologi, 16(2), 137-145.

[7]. Pagliari, M., Chambon, V., & Berberian, B. (2022). What is new with AI? Human–agent interactions through the lens of social agency. Frontiers in Psychology, 13, 954444.

[8]. Oran, B. B. (2023). Correlation between AI in education and teacher self-efficacy beliefs: a review. RumeliDE Dil ve Edebiyat Araştırmaları Dergisi, (34), 1354-1365.

[9]. Straub, J., Kerlin, S., & Kim, E. (2017, May). Analysis of student characteristics and feeling of efficacy in a first undergraduate AI course. In 2017 IEEE International Conference on Electro Information Technology (EIT) (pp. 010-015). IEEE.

[10]. Washington, J. (2023). The Impact of Generative AI on Writer's Self-Efficacy: A Critical Literature Review. Available at SSRN 4538043.

[11]. Rodríguez, C. G. (2024). Anxiety in the face of AI. Between pragmatic fears and uncanny terrors/Ansiedad ante la Inteligencia Artificial. Entre temores pragmáticos y terrores ominosos. Studies in Psychology, 45(1), 123-144.

[12]. Inoferio, H. V., Espartero, M., Asiri, M., Damin, M., & Chavez, J. V. (2024). Coping with math anxiety and lack of confidence through AI-assisted Learning. Environment and Social Psychology, 9(5).

[13]. Toribio, N. F. (2023). Analysis Of Chatgpt And Other AI’s Ability To Reduce Anxiety Of Science-Oriented Learners In Academic Engagements. Journal of Namibian Studies: History Politics Culture, 33, 5320-5337.

[14]. Hawanti, S., & Zubaydulloevna, K. M. (2023). AI chatbot-based learning: alleviating students' anxiety in english writing classroom. Bulletin of Social Informatics Theory and Application, 7(2), 182-192.

[15]. Li, H. H., Liao, Y. H., & Wu, Y. T. (2019, August). AI to assist E-Learning. In 2019 14th International Conference on Computer Science & Education (ICCSE) (pp. 653-654). IEEE.

[16]. Edelblut, P. (2020). Realizing the promise of AI-powered, adaptive, automated, instant feedback on writing for students in grade 3-8 with an IEP. In Adaptive Instructional Systems: Second International Conference, AIS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings 22 (pp. 283-292). Springer International Publishing.

[17]. Johnson, D. G., & Verdicchio, M. (2017). AI anxiety. Journal of the Association for Information Science and Technology, 68(9), 2267-2270.

[18]. Lemay, D. J., Basnet, R. B., & Doleck, T. (2020). Fearing the robot apocalypse: Correlates of AI anxiety.

[19]. Chairiyati, L. R. (2013). Hubungan antara Self-Efficacy akademik dan konsep diri akademik dengan prestasi akademik. Humaniora, 4(2), 1125-1133.

[20]. Basith, A., Syahputra, A., & Ichwanto, M. A. (2020). Academic self-efficacy as predictor of academic achievement. JPI (Jurnal Pendidikan Indonesia), 9(1), 163-170.

[21]. Brennan, M. B. (2015). Exploring a complex model of student engagement in middle school: Academic self-efficacy beliefs and achievement.

[22]. Shahzad, M. F., Xu, S., Lim, W. M., Yang, X., & Khan, Q. R. (2024). AI and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning. Heliyon, 10(8).

[23]. Crawford, J., Allen, K. A., Pani, B., & Cowling, M. (2024). When AI substitutes humans in higher education: the cost of loneliness, student success, and retention. Studies in Higher Education, 49(5), 883-897.

[24]. Kaledio, P., Robert, A., & Frank, L. (2024). The Impact of AI on Students' Learning Experience. Available at SSRN 4716747.

[25]. Lampou, R. (2023). The integration of AI in education: Opportunities and challenges. Review of AI in Education, 4, e15-e15.

[26]. Prahl, A., & Van Swol, L. M. (2021). Out with the humans, in with the machines?: investigating the behavioral and psychological effects of replacing human advisors with a machine. Human-Machine Communication, 2, 209-234.

[27]. Shneiderman, B. (2022). Intelligent Agents and Supertools. Human-Centered AI.

[28]. Momeni, F., & Shibaei, A. (2022). Decision-making under Uncertainty: A Cognitive Approach. Journal of Neurodevelopmental Cognition, 1(1), 101-107.

[29]. Mulvey, B., & Wright, E. (2022). Global and local possible selves: Differentiated strategies for positional competition among Chinese university students. British Educational Research Journal, 48(5), 841-858.

Cite this article

Zhou,J. (2024). The Impact of AI Use on College Students' Academic Self-efficacy: Exploring the Mediating Role of Anxiety. Lecture Notes in Education Psychology and Public Media,75,139-146.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Global Politics and Socio-Humanities

Conference website: https://2024.icgpsh.org/
ISBN:978-1-83558-743-0(Print) / 978-1-83558-744-7(Online)
Conference date: 20 December 2024
Editor:Enrique Mallen
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.75
ISSN:2753-7048(Print) / 2753-7056(Online)

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