Acceptance of Artificial Intelligence Technology and Optimism Regarding Its Impact on the Job Market Among High School Students

Authors

  • Joshua Kim Livingston High School
  • Joseph Kim New York University

DOI:

https://doi.org/10.33423/jhetp.v24i10.7373

Keywords:

Higher Education, Artificial Intelligence (AI), technology acceptance, career choice, high school

Abstract

Since the introduction of ChatGPT, generative AI has presented notable challenges to the future job market, sparking widespread discussions about how automation and AI technologies might impact employment. However, individuals perceive these challenges differently based on their characteristics, with some viewing AI advancements as opportunities for growth and innovation. This study aimed to explore high school students' perceptions of AI's influence on the future job market. We hypothesized that proactive personality traits, technical and occupational self-efficacy would positively shape students' preparedness, optimism, and concerns about their future careers. To test these hypotheses, we gathered data from 141 high school students. Our findings revealed that proactive personality and technical self-efficacy positively correlated with a heightened sense of preparedness and optimism about AI’s impact on jobs. These insights offer practical implications for educators and policymakers and suggest areas for future research to better understand how students can be prepared for an AI-driven workforce.

References

Abdul Hamid, R. (2022). Technology readiness, job meaningfulness, and proactive personality in adaptive performance. Sustainability, 14(23), 15696.

Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244.

Arntz, M., Gregory, T., & Zierahn, U. (2017). Revisiting the risk of automation. Economics Letters, 159, 157–160.

Bandura, A., & Adams, N.E. (1977). Analysis of self-efficacy theory of behavioral change. Cognitive Therapy and Research, 1(4), 287–310.

Betz, N.E., & Hackett, G. (1981). A self-efficacy approach to the career development of women. Journal of Vocational Behavior, 18(3), 326–339.

Betz, N.E., & Hackett, G. (2006). Career self-efficacy theory: Back to the future. Journal of Career Assessment, 14(1), 3–11.

Cai, Z., Guan, Y., Li, H., Shi, W., Guo, K., Liu, Y., . . . Hua, H. (2015). Self-esteem and proactive personality as predictors of future work self and career adaptability: An examination of mediating and moderating processes. Journal of Vocational Behavior, 86, 86–94.

Celik, V., & Yesilyurt, E. (2013). Attitudes to technology, perceived computer self-efficacy, and computer anxiety as predictors of computer-supported education. Computers & Education, 60(1), 148–158.

Cho, M.H., & Kim, J. (2020). Students’ self-regulation for interaction with others in online learning environments. Internet and Higher Education, 1, 69–75.

Compeau, D.R., & Higgins, C.A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.

Crant, J.M. (1995). The proactive personality scale and objective job performance among real estate agents. Journal of Applied Psychology, 80(4), 532–537.

Crant, J.M. (2000). Proactive behavior in organizations. Journal of Management, 26(3), 435–462.

Doğanülkü, H.A., & Korkmaz, O. (2023). The role of proactive personality and general self-efficacy in proactive career behavior: A mediation model. International Journal for Educational and Vocational Guidance, pp. 1–25.

Feng, Y., Jiang, H., & Ren, Z. (2024). The impact of artificial intelligence on employment: The role of virtual agglomeration. Humanities and Social Sciences Communications, 11(1), 1–13.

Frey, C.B., & Osborne, M.A. (2017). The future of employment: How susceptible are jobs to computerization? Technological Forecasting and Social Change, 114, 254–280.

Hou, Z.J., Leung, S.A., Li, X., Li, X., & Xu, H. (2014). Career adapt-abilities scale—China form: Construction and initial validation. Journal of Vocational Behavior, 84(3), 259–266.

Huffman, A.H., Whetten, J., & Huffman, W.H. (2013). Using technology in higher education: The influence of gender roles on technology self-efficacy. Computers in Human Behavior, 29(4), 1779–1786.

Hwang, Y., Al-Arabiat, M., Shin, D.H., & Lee, Y. (2016). Understanding information proactiveness and the content management system adoption in pre-implementation stage. Computers in Human Behavior, 64, 515–523.

Jiang, Z. (2017). Proactive personality and career adaptability: The role of thriving at work. Journal of Vocational Behavior, 98, 85–97.

Kim, T.Y., Hon, A.H., & Crant, J.M. (2009). Proactive personality, employee creativity, and newcomer outcomes: A longitudinal study. Journal of Business and Psychology, 24(1), 93–103.

Lent, R.W., Brown, S.D., & Hackett, G. (2017). Career development and counseling: Putting theory and research to work (2nd ed.). John Wiley & Sons.

Lent, R.W., Lopez, A.M., Lopez, F.G., & Sheu, H.B. (2008). Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines. Journal of Vocational Behavior, 73(1), 52–62.

Li, W., Gill, S.A., Wang, Y., Safdar, M.A., & Sheikh, M.R. (2022). Proactive personality and innovative work behavior: Through the juxtapose of Schumpeter's theory of innovation and broaden-and-build theory. Frontiers in Psychology, 13, 927458.

McDonald, T., & Siegall, M. (1992). The effects of technological self-efficacy and job focus on job performance, attitudes, and withdrawal behaviors. The Journal of Psychology, 126(5), 465–475.

Paggi, M.E., & Jopp, D.S. (2015). Outcomes of occupational self-efficacy in older workers. The International Journal of Aging and Human Development, 80(4), 357–378.

Rigotti, T., Schyns, B., & Mohr, G. (2008). A short version of the occupational self-efficacy scale: Structural and construct validity across five countries. Journal of Career Assessment, 16(2), 238–255.

Saville, J.D., & Foster, L.L. (2021). Does technology self-efficacy influence the effect of training presentation mode on training self-efficacy? Computers in Human Behavior Reports, 4, 100124.

Schyns, B., & Felfe, J. (2006). Personality and the perception of transformational leadership: The impact of extraversion, neuroticism, personal need for structure, and occupational self-efficacy. Journal of Applied Social Psychology, 36(3), 708–739.

Schyns, B., & Von Collani, G. (2002). A new occupational self-efficacy scale and its relation to personality constructs and organizational variables. European Journal of Work and Organizational Psychology, 11(2), 219–241.

Seibert, S.E., Crant, J.M., & Kraimer, M.L. (2001). Proactive personality and career success. Journal of Applied Psychology, 86(3), 645–655.

Sharma, R., & Mishra, S. (2023). Artificial intelligence and employment: A systematic literature review. Technological Forecasting and Social Change, 188, 122315.

Silva, A.D., Taveira, M.D.C., & Atanásio, P. (2023). Future time orientation, life projects, and career self-efficacy of unemployed people. Frontiers in Psychology, 14, 1230851.

Venkatesh, V., & Davis, F.D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481.

Xu, S., Khan, K.I., & Shahzad, M.F. (2024). Examining the influence of technological self-efficacy, perceived trust, security, and electronic word of mouth on ICT usage in the education sector. Scientific Reports, 14(1), 16196.

Wang, S., Mei, M., Xie, Y., Zhao, Y., & Yang, F. (2021). Proactive personality as a predictor of career adaptability and career growth potential: A view from conservation of resources theory. Frontiers in Psychology, 12, 699461.

Zhou, Z., Peng, J., Fan, H., Li, Y., & Chen, Q. (2023). A meta-analysis of proactive personality and career success. Frontiers in Psychology, 13, 979412.

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Published

2024-11-18

How to Cite

Kim, J., & Kim, J. (2024). Acceptance of Artificial Intelligence Technology and Optimism Regarding Its Impact on the Job Market Among High School Students. Journal of Higher Education Theory and Practice, 24(10). https://doi.org/10.33423/jhetp.v24i10.7373

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Articles