Applications of Artificial Intelligence in Higher Education: An Exploratory Study of a Sample of Professors from the Faculty of Economic Sciences, Commercial Sciences, and Management Sciences at the University of Médéa
DOI:
https://doi.org/10.70091/atras/AI.35Keywords:
Artificial intelligence applications, higher education, university professors, Faculty of Economic Sciences, University of MédéaAbstract
This study aims to measure the level of artificial intelligence technology usage in higher education among university professors at the Faculty of Economic Sciences, Commercial Sciences, and Management Sciences at the University of Médéa. Using a descriptive-analytical approach, a survey was conducted with a sample of 71 professors, and the data was analyzed using SPSS statistical software. The findings revealed a moderate level of artificial intelligence usage, with an average score of 79.23. The main challenges identified were insufficient technical support and inadequate training. An independent samples t-test showed no significant differences in AI usage between male and female professors, nor across different levels of experience. The study recommends enhancing training programs, improving technical support, and fostering a culture of technological adoption.
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