The Degree to Which Artificial Intelligence Applications Contribute to Developing Research Skills among Faculty Members at the Faculty of Graduate Studies at An-Najah National University in Nablus
Cross-sectional survey reveals strong contribution of artificial intelligence to research skills among graduate faculty, indicating highest utility in refining academic accuracy.
Key Points
To evaluate the perceived contribution of artificial intelligence applications toward developing research skills among graduate faculty members and determine variations based on gender, teaching experience, and academic program level.
Conducted a descriptive quantitative analytical study using a stratified random sample of graduate faculty members (N=95 from a population of 111) during the 2025–2026 academic year.
Collected responses using a validated 24-item questionnaire demonstrating high internal consistency (Cronbach's alpha = 0.97).
Artificial intelligence tools showed an overall high contribution to research skill development, with an aggregate mean score of 3.51 (SD 0.69) and a relative weight of 70.2%.
Academic accuracy enhancement ranked highest among individual domains (mean 4.02), whereas research question formulation and ideation ranked lowest at a moderate level (mean 2.96).
Statistically significant differences favored male faculty, educators with fewer than 10 years of experience, and faculty teaching at the master's level compared to the doctoral level.