Research Article
BibTex RIS Cite

Year 2025, Volume: 12 Issue: (Special Issue), 23 - 40, 02.01.2026
https://doi.org/10.59409/ojer.1755463

Abstract

References

  • Acosta-Enriquez, B. G., Ballesteros, M. A. A., Valle, M. de los A. G., Angaspilco, J. E. M., Lalupú, J. del R. A., Jaico, J. L. B., Reyes, N. C. G., García, R. E. A., & Castillo, W. E. J. (2025). The mediating role of academic stress, critical thinking and performance expectations in the influence of academic self-efficacy on AI dependence: Case study in college students. Computers and Education: Artificial Intelligence, 8, 100381. https://doi.org/10.1016/j.caeai.2025.100381
  • 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), 311. https://doi.org/10.1057/s41599-023-01787-8
  • Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23–28), 2.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.
  • Batool, K., Noreen, H. R., Akram, S., Naseem, A., Zenab, S., Mehboob, I., & Javed, R. (2025). Artificial intelligence anxiety, self-efficacy and academic performance among university students. International Journal of Social Sciences Bulletin, 3(5), 490–494. https://doi.org/10.5281/zenodo.15448571
  • Chan, K. S., & Zary, N. (2019). Applications and challenges of implementing artificial intelligence in medical education: integrative review. JMIR Medical Education, 5(1), e13930. https://doi.org/10.2196/13930
  • Chang, C., Hwang, G., & Gau, M. (2022). Promoting students’ learning achievement and self‐efficacy: A mobile chatbot approach for nursing training. British Journal of Educational Technology, 53(1), 171–188. https://doi.org/10.1111/bjet.13158
  • Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024). Impact of AI assistance on student agency. Computers & Education, 210, 104967. https://doi.org/10.1016/j.compedu.2023.104967
  • Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030
  • Estrada-Araoz, E. G., Mamani-Roque, M., Quispe-Aquise, J., Manrique-Jaramillo, Y. V., & Cruz-Laricano, E. O. (2025). Academic self-efficacy and dependence on artificial intelligence in a sample of university students. Sapienza: International Journal of Interdisciplinary Studies, 6(1), e25008–e25008. https://doi.org/10.51798/sijis.v6i1.916
  • Gezgin, D. M., & Türk Kurtça, T. (2025). Developing the AIlessphobia in education scale and examining its psychometric characteristics. Education and Information Technologies, 30(4), 4471–4491. https://doi.org/10.1007/s10639-024-12984-6
  • Han, D. E. (2020). The effects of voice-based AI chatbots on Korean EFL middle school students’ speaking competence and affective domains. Asia-Pacific Journal of Convergent Research Interchange, 6(7), 71–80. http://dx.doi.org/10.47116/apjcri.2020.07.07
  • Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3), 206-217. https://doi.org/10.36941/ajis-2021-0077
  • Jerusalem, M., & Schwarzer, R. (1981). Fragebogen zur Erfassung von "Selbstwirksamkeit. Skalen zur Befindlichkeit und Persoenlichkeit In R. Schwarzer (Hrsg.). (Forschungsbericht No. 5). Berlin: Freie Universitaet, Institut fuer Psychologie
  • Kanbay, Y., Akçam, A., Özbay, S. Ç., Özbay, Ö., & Fırat, M. (2022a). Developing Fırat nomophobia scale and investigating its psychometric properties. Perspectives in Psychiatric Care, 58(4), 2534-2541. http://dx.doi.org/10.1111/ppc.13090
  • Kanbay, Y., Fırat, M., Akçam, A., Çınar, S., & Özbay, Ö. (2022b). Development of Fırat netlessphobia scale and investigation of its psychometric properties. Perspectives in Psychiatric Care, 58(4), 1258–1266. https://doi.org/10.1111/ppc.12924
  • Karasar, N. (2013). Scientific research methodology. Ankara: Nobel Publishing
  • Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives. Computers and Education: Artificial Intelligence, 6, 100221. https://doi.org/10.1016/j.caeai.2024.100221
  • Moon, J., Yang, R., Cha, S., & Kim, S. B. (2023). chatgpt vs mentor: Programming language learning assistance system for beginners. 2023 IEEE 8th International Conference on Software Engineering and Computer Systems (ICSECS), 106–110. https://doi.org/10.1109/ICSECS58457.2023.10256295
  • Morales-García, W. C., Sairitupa-Sanchez, L. Z., Flores-Paredes, A., Pascual-Mariño, J., & Morales-García, M. (2025). Influence of self-efficacy in the use of artificial intelligence (AI) and anxiety toward AI use on AI dependence among Peruvian university students. Data and Metadata, 4, 210.
  • Morales-García, W. C., Sairitupa-Sanchez, L. Z., Morales-García, S. B., & Morales-García, M. (2024). Development and validation of a scale for dependence on artificial intelligence in university students. Frontiers in Education, 9, 1323898. https://doi.org/10.3389/feduc.2024.1323898
  • Octaberlina, L. R., Muslimin, A. I., Chamidah, D., Surur, M., & Mustikawan, A. (2024). Exploring the impact of AI threats on originality and critical thinking in academic writing. Edelweiss Applied Science and Technology, 8(6), 8805–8814. https://doi.org/10.55214/25768484.v8i6.3878
  • Ofem, U. J., Owan, V. J., Iyam, M. A., Udeh, M. I., Anake, P. M., & Ovat, S. V. (2025). Students’ perceptions, attitudes and utilisation of ChatGPT for academic dishonesty: Multigroup analyses via PLS‒SEM. Education and Information Technologies, 30(1), 159–187. https://doi.org/10.1016/j.heliyon.2023.e13403
  • Rasul, T., Nair, S., Kalendra, D., Robin, M., de Oliveira Santini, F., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1), 41–56. https://doi.org/10.37074/jalt.2023.6.1.29
  • Rodríguez-Ruiz, J., Marín-López, I., & Espejo-Siles, R. (2025). Is artificial intelligence use related to self-control, self-esteem and self-efficacy among university students?. Education and Information Technologies, 30(2), 2507-2524. https://doi.org/10.1007/s10639-024-12906-6
  • Rosales-Ronquillo, C. A., & Hernández-Jácquez, L. F. (2020). Autoeficacia académica y su relación con el rendimiento académico en estudiantes de nutrición. Revista Electrónica Educare, 24(3), 139–155. http://dx.doi.org/10.15359/ree.24-3.7
  • Sabouripour, F., Roslan, S., Ghiami, Z., & Memon, M. A. (2021). Mediating role of self-efficacy in the relationship between optimism, psychological well-being, and resilience among Iranian students. Frontiers in Psychology, 12, 675645. https://doi.org/10.3389/fpsyg.2021.675645
  • Sarıkahya, S. D., Özbay, Ö., Torpuş, K., Usta, G., & Özbay, S. Ç. (2025). The impact of ChatGPT on nursing education: A qualitative study based on the experiences of faculty members. Nurse Education Today, 152, 106755. https://doi.org/10.1016/j.nedt.2025.106755
  • Savaş, B. Ç. (2024). Yapay zekâya bağımlılık ölçeğinin Türkçe’ye uyarlanması: Geçerlik ve güvenirlik çalışması. Herkes Için Spor ve Rekreasyon Dergisi, 6(3), 306–315. https://doi.org/10.56639/jsar.1509301
  • Semerci Şahin, R., Özbay, Ö., Çınar Özbay, S., & Durmuş Sarıkahya, S. (2025). Development of the generative artificial intelligence awareness scale for secondary school students in Türkiye. European Journal of Pediatrics, 184(9), 585. https://doi.org/10.1007/s00431-025-06435-8
  • Tanveer, I., Iqbal, S., & Hussain, A. (2024). Examining the impact of AI based chatbots on academic self-efficacy and self-regulation among university students. Journal of Development and Social Sciences, 5(2), 468–477. https://doi.org/10.47205/jdss.2024(5-II-S)45
  • Yılmaz, M., Gürçay, D., & Ekici, G. (2007). Adaptation of the academic self-efficacy scale to Turkish. Hacettepe University Journal of Education, 33, 253-259
  • Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
  • Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review. Smart Learning Environments, 11(1), 28. https://doi.org/10.1186/s40561-024-00316-7
  • Zhang, C., Rice, R. E., & Wang, L. H. (2024a). College students’ literacy, ChatGPT activities, educational outcomes, and trust from a digital divide perspective. New Media & Society, 14614448241301740. https://doi.org/10.1177/14614448241301741
  • Zhang, S., Zhao, X., Zhou, T., & Kim, J. H. (2024b). Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior. International Journal of Educational Technology in Higher Education, 21(1), 34. https://doi.org/10.1186/s41239-024-00467-0

Exploring the Relationship between Fear of Being without Artificial Intelligence, AI Addiction, and Academic Self-Efficacy among University Students

Year 2025, Volume: 12 Issue: (Special Issue), 23 - 40, 02.01.2026
https://doi.org/10.59409/ojer.1755463

Abstract

This study examined the links between AI addiction, academic self-efficacy, related anxieties, and fear of being without AI in education (AILPES). The study employed a descriptive and correlational design and collected data from 544 undergraduate students. Data collection tools included a Personal Information Form, the Artificial Intelligence Addiction Scale, the Academic Self-Efficacy Scale, and the Fear of Being Without Artificial Intelligence in Education Scale. Descriptive statistics were used to summarize demographic characteristics and study variables, while Pearson correlation coefficients were calculated to examine bivariate relationships among variables. Multiple linear regression analysis was conducted to test the predictive effects of ASE, AIAS, and grade point average (GPA) on AILPES. The findings indicated that age was negatively associated with AILPES and lack of academic confidence without AI. ASE was positively related to both AILPES and academic self-efficacy anxiety. AIAS demonstrated strong positive correlations with AILPES, academic self-efficacy anxiety, and lack of academic confidence without AI. The results revealed that fear of being without AI among university students is significantly associated with both AI addiction and academic self-efficacy. While AI addiction increases this fear, higher academic self-efficacy appears to reduce it. Based on these findings, it is recommended that higher education institutions implement educational and psychoeducational strategies to promote balanced AI use, enhance AI literacy, and support students’ academic self-efficacy. The findings highlight the importance of educational strategies aimed at enhancing AI literacy and promoting digital balance.

References

  • Acosta-Enriquez, B. G., Ballesteros, M. A. A., Valle, M. de los A. G., Angaspilco, J. E. M., Lalupú, J. del R. A., Jaico, J. L. B., Reyes, N. C. G., García, R. E. A., & Castillo, W. E. J. (2025). The mediating role of academic stress, critical thinking and performance expectations in the influence of academic self-efficacy on AI dependence: Case study in college students. Computers and Education: Artificial Intelligence, 8, 100381. https://doi.org/10.1016/j.caeai.2025.100381
  • 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), 311. https://doi.org/10.1057/s41599-023-01787-8
  • Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23–28), 2.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.
  • Batool, K., Noreen, H. R., Akram, S., Naseem, A., Zenab, S., Mehboob, I., & Javed, R. (2025). Artificial intelligence anxiety, self-efficacy and academic performance among university students. International Journal of Social Sciences Bulletin, 3(5), 490–494. https://doi.org/10.5281/zenodo.15448571
  • Chan, K. S., & Zary, N. (2019). Applications and challenges of implementing artificial intelligence in medical education: integrative review. JMIR Medical Education, 5(1), e13930. https://doi.org/10.2196/13930
  • Chang, C., Hwang, G., & Gau, M. (2022). Promoting students’ learning achievement and self‐efficacy: A mobile chatbot approach for nursing training. British Journal of Educational Technology, 53(1), 171–188. https://doi.org/10.1111/bjet.13158
  • Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024). Impact of AI assistance on student agency. Computers & Education, 210, 104967. https://doi.org/10.1016/j.compedu.2023.104967
  • Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030
  • Estrada-Araoz, E. G., Mamani-Roque, M., Quispe-Aquise, J., Manrique-Jaramillo, Y. V., & Cruz-Laricano, E. O. (2025). Academic self-efficacy and dependence on artificial intelligence in a sample of university students. Sapienza: International Journal of Interdisciplinary Studies, 6(1), e25008–e25008. https://doi.org/10.51798/sijis.v6i1.916
  • Gezgin, D. M., & Türk Kurtça, T. (2025). Developing the AIlessphobia in education scale and examining its psychometric characteristics. Education and Information Technologies, 30(4), 4471–4491. https://doi.org/10.1007/s10639-024-12984-6
  • Han, D. E. (2020). The effects of voice-based AI chatbots on Korean EFL middle school students’ speaking competence and affective domains. Asia-Pacific Journal of Convergent Research Interchange, 6(7), 71–80. http://dx.doi.org/10.47116/apjcri.2020.07.07
  • Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3), 206-217. https://doi.org/10.36941/ajis-2021-0077
  • Jerusalem, M., & Schwarzer, R. (1981). Fragebogen zur Erfassung von "Selbstwirksamkeit. Skalen zur Befindlichkeit und Persoenlichkeit In R. Schwarzer (Hrsg.). (Forschungsbericht No. 5). Berlin: Freie Universitaet, Institut fuer Psychologie
  • Kanbay, Y., Akçam, A., Özbay, S. Ç., Özbay, Ö., & Fırat, M. (2022a). Developing Fırat nomophobia scale and investigating its psychometric properties. Perspectives in Psychiatric Care, 58(4), 2534-2541. http://dx.doi.org/10.1111/ppc.13090
  • Kanbay, Y., Fırat, M., Akçam, A., Çınar, S., & Özbay, Ö. (2022b). Development of Fırat netlessphobia scale and investigation of its psychometric properties. Perspectives in Psychiatric Care, 58(4), 1258–1266. https://doi.org/10.1111/ppc.12924
  • Karasar, N. (2013). Scientific research methodology. Ankara: Nobel Publishing
  • Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives. Computers and Education: Artificial Intelligence, 6, 100221. https://doi.org/10.1016/j.caeai.2024.100221
  • Moon, J., Yang, R., Cha, S., & Kim, S. B. (2023). chatgpt vs mentor: Programming language learning assistance system for beginners. 2023 IEEE 8th International Conference on Software Engineering and Computer Systems (ICSECS), 106–110. https://doi.org/10.1109/ICSECS58457.2023.10256295
  • Morales-García, W. C., Sairitupa-Sanchez, L. Z., Flores-Paredes, A., Pascual-Mariño, J., & Morales-García, M. (2025). Influence of self-efficacy in the use of artificial intelligence (AI) and anxiety toward AI use on AI dependence among Peruvian university students. Data and Metadata, 4, 210.
  • Morales-García, W. C., Sairitupa-Sanchez, L. Z., Morales-García, S. B., & Morales-García, M. (2024). Development and validation of a scale for dependence on artificial intelligence in university students. Frontiers in Education, 9, 1323898. https://doi.org/10.3389/feduc.2024.1323898
  • Octaberlina, L. R., Muslimin, A. I., Chamidah, D., Surur, M., & Mustikawan, A. (2024). Exploring the impact of AI threats on originality and critical thinking in academic writing. Edelweiss Applied Science and Technology, 8(6), 8805–8814. https://doi.org/10.55214/25768484.v8i6.3878
  • Ofem, U. J., Owan, V. J., Iyam, M. A., Udeh, M. I., Anake, P. M., & Ovat, S. V. (2025). Students’ perceptions, attitudes and utilisation of ChatGPT for academic dishonesty: Multigroup analyses via PLS‒SEM. Education and Information Technologies, 30(1), 159–187. https://doi.org/10.1016/j.heliyon.2023.e13403
  • Rasul, T., Nair, S., Kalendra, D., Robin, M., de Oliveira Santini, F., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1), 41–56. https://doi.org/10.37074/jalt.2023.6.1.29
  • Rodríguez-Ruiz, J., Marín-López, I., & Espejo-Siles, R. (2025). Is artificial intelligence use related to self-control, self-esteem and self-efficacy among university students?. Education and Information Technologies, 30(2), 2507-2524. https://doi.org/10.1007/s10639-024-12906-6
  • Rosales-Ronquillo, C. A., & Hernández-Jácquez, L. F. (2020). Autoeficacia académica y su relación con el rendimiento académico en estudiantes de nutrición. Revista Electrónica Educare, 24(3), 139–155. http://dx.doi.org/10.15359/ree.24-3.7
  • Sabouripour, F., Roslan, S., Ghiami, Z., & Memon, M. A. (2021). Mediating role of self-efficacy in the relationship between optimism, psychological well-being, and resilience among Iranian students. Frontiers in Psychology, 12, 675645. https://doi.org/10.3389/fpsyg.2021.675645
  • Sarıkahya, S. D., Özbay, Ö., Torpuş, K., Usta, G., & Özbay, S. Ç. (2025). The impact of ChatGPT on nursing education: A qualitative study based on the experiences of faculty members. Nurse Education Today, 152, 106755. https://doi.org/10.1016/j.nedt.2025.106755
  • Savaş, B. Ç. (2024). Yapay zekâya bağımlılık ölçeğinin Türkçe’ye uyarlanması: Geçerlik ve güvenirlik çalışması. Herkes Için Spor ve Rekreasyon Dergisi, 6(3), 306–315. https://doi.org/10.56639/jsar.1509301
  • Semerci Şahin, R., Özbay, Ö., Çınar Özbay, S., & Durmuş Sarıkahya, S. (2025). Development of the generative artificial intelligence awareness scale for secondary school students in Türkiye. European Journal of Pediatrics, 184(9), 585. https://doi.org/10.1007/s00431-025-06435-8
  • Tanveer, I., Iqbal, S., & Hussain, A. (2024). Examining the impact of AI based chatbots on academic self-efficacy and self-regulation among university students. Journal of Development and Social Sciences, 5(2), 468–477. https://doi.org/10.47205/jdss.2024(5-II-S)45
  • Yılmaz, M., Gürçay, D., & Ekici, G. (2007). Adaptation of the academic self-efficacy scale to Turkish. Hacettepe University Journal of Education, 33, 253-259
  • Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
  • Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review. Smart Learning Environments, 11(1), 28. https://doi.org/10.1186/s40561-024-00316-7
  • Zhang, C., Rice, R. E., & Wang, L. H. (2024a). College students’ literacy, ChatGPT activities, educational outcomes, and trust from a digital divide perspective. New Media & Society, 14614448241301740. https://doi.org/10.1177/14614448241301741
  • Zhang, S., Zhao, X., Zhou, T., & Kim, J. H. (2024b). Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior. International Journal of Educational Technology in Higher Education, 21(1), 34. https://doi.org/10.1186/s41239-024-00467-0
There are 36 citations in total.

Details

Primary Language English
Subjects Basic Training (Other)
Journal Section Research Article
Authors

Özkan Özbay 0000-0001-7754-2594

Submission Date July 31, 2025
Acceptance Date December 31, 2025
Publication Date January 2, 2026
Published in Issue Year 2025 Volume: 12 Issue: (Special Issue)

Cite

APA Özbay, Ö. (2026). Exploring the Relationship between Fear of Being without Artificial Intelligence, AI Addiction, and Academic Self-Efficacy among University Students. Osmangazi Journal of Educational Research, 12((Special Issue), 23-40. https://doi.org/10.59409/ojer.1755463