اتجاهات أعضاء هيئة التدريس نحو استخدام تطبيقات الذكاء الاصطناعي في البحث العلمي (دراسة ميدانية بجامعة البطانة بالسودان 2025م)

الملخص

This study aimed to explore the attitudes of faculty members toward the use of
artificial intelligence (AI) applications in scientific research, identify the obstacles to
their use, and examine the statistically significant differences in the respondents’
estimations regarding attitudes toward the use of AI applications in research based on
study variables (gender, academic rank, and years of professional experience).The
study population consisted of faculty members at the colleges of Al-Butana
University in Sudan, totaling 220 individuals for the academic year 2024–2025. The
researchers employed the descriptive method and used a questionnaire as the data
collection tool. The questionnaire was designed and distributed electronically through
faculty groups on social media platforms to a purposively selected sample of 57
individuals, representing approximately 26% of the total study population. The data
were analyzed using the Statistical Package for the Social Sciences (SPSS).The study
found that faculty members at Al-Butana University demonstrated a positive attitude
toward employing AI applications in scientific research, with a mean score of 2.53,
indicating a high level of agreement. The study also revealed the existence of
significant obstacles to the use of AI applications in research, with a mean score of
2.43, also at a high level. There were no statistically significant differences in faculty
members’ attitudes based on gender; however, there were significant differences
based on academic rank, favoring those holding higher academic positions
(Professors), as well as differences based on years of professional experience,
favoring those with more than 10 years of experience. Based on the findings, the
study recommends raising awareness among faculty members about the benefits of
using AI applications in scientific research through conferences, training courses,
seminars, and workshops. Additionally, it calls for addressing and overcoming the
obstacles hindering the effective use of AI applications in scientific research.