The Relationship between Artificial Intelligence Anxiety and the Optimism and Pessimism in a Sample of Students at The University of Jordan
DOI:
https://doi.org/10.35516/Hum.2026.9774Keywords:
AI anxiety, optimism, pessimism, artificial intelligence, University of Jordan studentsAbstract
Objectives: The study aimed to investigate the relationship between AI anxiety, optimism, and pessimism among a sample of University of Jordan students.
Method: The sample consisted of 400 students selected using a convenience sampling method. Two scales were utilized: the AI Anxiety Scale (Wang, 2022) and the Optimism and Pessimism Scale (Abdel-Khalek & Al-Ansari, 1995), both validated for reliability and accuracy.
Results: The findings indicated that the levels of AI anxiety and optimism were moderate, while pessimism was low. A statistically significant inverse relationship was found between AI anxiety and optimism, whereas a significant positive relationship existed between AI anxiety and pessimism. No significant differences were observed based on college type for any AI anxiety dimensions. However, gender-based differences emerged in all dimensions except learning, favoring females. Differences related to academic level were found in all dimensions except learning, favoring undergraduate students.
Conclusion: The study concluded that AI anxiety and optimism were moderate, pessimism was low, and AI anxiety inversely correlated with optimism while positively correlating with pessimism.
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Egan, S. J., Johnson, C., Wade, T. D., Carlbring, P., Raghav, S., & Shafran, R. (2024). A pilot study of the perceptions and acceptability of guidance using artificial intelligence in internet cognitive behaviour therapy for perfectionism in young people. Internet Interventions, 35, 100711. https://doi.org/10.1016/j.invent.2024.100711
Güven, G. Ö., Yilmaz, Ş., & Inceoğlu, F. (2024). Determining medical students’ anxiety and readiness levels about artificial intelligence. Heliyon, 10(4), e25894. https://doi.org/10.1016/j.heliyon.2024.e25894
Hecht, D. (2013). The neural basis of optimism and pessimism. Experimental Neurobiology, 22(3), 173–199. https://doi.org/10.5607/en.2013.22.3.173
Ivanov, S., Kuyumdzhiev, M., & Webster, C. (2020). Automation fears: Drivers and solutions. Technology in Society, 63, 101431. https://doi.org/10.1016/j.techsoc.2020.101431
Pänkäläinen, M. T., Kerola, T. V., & Hintikka, J. J. (2015). Pessimism and the risk for coronary heart disease among middle-aged and older Finnish men and women: A ten-year follow-up study. BMC Cardiovascular Disorders, 15, 113. https://doi.org/10.1186/s12872-015-0095-2
Wang, Y. M., Wei, C. L., Lin, H. H., Wang, S. C., & Wang, Y. S. (2022). What drives students’ AI learning behavior: A perspective of AI anxiety. Interactive Learning Environments, 1–17. https://doi.org/10.1080/10494820.2022.2067022
Wang, Y. Y., & Wang, Y. S. (2022). Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments, 30(4), 619-634. https://doi.org/10.1080/10494820.2020.1811795
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Copyright (c) 2025 Dirasat: Human and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accepted 2024-12-15
Published 2026-01-01


