The Use of Generative Artificial Intelligence, Creative Thinking, And Perceived Academic Achievement Among Vocational Education Students in Jordanian Universities: A Descriptive Correlational Study

Authors

  • Rogayah Ali Mousa Sharadgah Faculty of Educational Sciences, Jerash University, Jordan Author
  • Tareq Atef Ali Al-Shboul Faculty of Educational Sciences, Jerash University, Jordan Author
  • Adnan Ahmad Al-Ajlouni Faculty of Educational Sciences, Jerash University, Jordan Author

DOI:

https://doi.org/10.70568/IJPHDI.2.1.4

Keywords:

Generative Artificial Intelligence, Creative Thinking, Perceived Academic Achievement, Vocational Education, Public Safety, Jordanian Universities

Abstract

This study examined the relationship between the use of generative artificial intelligence (GenAI), creative thinking, and perceived academic achievement among vocational education and public safety students at Jordanian universities, and tested whether the study variables differed by gender. A quantitative, cross-sectional, descriptive-correlational design was used. The sample comprised 140 undergraduate students selected through convenience sampling from Al-Balqa Applied University, Jadara University, Irbid National University, Jerash University, and Aqaba University of Technology. Students from Jerash University and Aqaba University of Technology were enrolled in vocational education and public safety programs. A 40-item questionnaire measured three dimensions of GenAI use and five educational outcomes: fluency, flexibility, originality, problem sensitivity, and perceived academic achievement. Overall GenAI use was high (M = 3.96, SD = 0.59). Fluency, flexibility, problem sensitivity, and perceived academic achievement were high, while originality was medium and recorded the lowest mean (M = 3.43, SD = 0.68). GenAI use was positively and moderately correlated with the combined creative-thinking and achievement outcome (r = .56, p < .001). No statistically significant gender differences were found, and all effect sizes were very small. The study concludes that GenAI can support idea generation, applied problem solving, lesson and activity planning, risk analysis, professional communication, and academic learning when its use is guided by independent thinking, technical verification, transparent disclosure, and authentic assessment. Jordanian universities are encouraged to embed responsible GenAI literacy in vocational education and public safety programs while protecting originality and practical competence.

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Published

2026-06-30

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