An Integrative Model Based on Artificial Intelligence for Enhancing Integration among Sciences in Interdisciplinary Learning and Scientific Research: A Field Study on Postgraduate Students at the Libyan Academy – Janzour

الملخص

The recent rapid advancement in artificial intelligence technologies has brought about a fundamental transformation in higher education and scientific research institutions by providing new opportunities to enhance interdisciplinary learning and cognitive integration across various scientific fields. This study aimed to propose an integrative model based on artificial intelligence to analyze the impact of using AI tools in enhancing interdisciplinary learning and scientific research among postgraduate students at the Libyan Academy–Janzour. The study adopted the descriptive-analytical approach, and data were collected from a sample of (94) master's and doctoral students using a questionnaire specifically designed for this purpose. The reliability test results indicated that the study instrument possessed a high degree of reliability, with a Cronbach's alpha coefficient of (0.912). The results of the descriptive analysis indicated that the sample members possessed a high level of digital competence, with a mean score of (3.92) and a standard deviation of (0.64). The findings also revealed a high impact of using artificial intelligence tools on improving the quality of scientific research and research productivity, with a mean score of (4.15) and a standard deviation of (0.58), in addition to a positive role in enhancing interdisciplinary integration, with a mean score of (3.88) and a standard deviation of (0.71). Furthermore, the results of the inferential analysis showed no statistically significant differences in the participants' attitudes toward the proposed model attributed to academic specialization (F = 1.42, p = 0.241) or academic level (t = 0.85, p = 0.398), which confirms the applicability of the model across various specializations and academic levels. Additionally, the findings revealed a strong, statistically significant positive correlation between digital competence and interdisciplinary research integration (r = 0.684, p < 0.001), indicating that developing digital skills directly contributes to enhancing students' ability to employ artificial intelligence tools in producing more integrated and interdisciplinary research. The study findings confirm that artificial intelligence represents an effective tool for supporting interdisciplinary integration, improving scientific research efficiency, and facilitating knowledge exchange and academic collaboration across different disciplines. This study also contributes to enriching the scientific literature related to the employment of artificial intelligence in higher education and provides a practical framework that can be utilized in developing smart academic environments that support interdisciplinary learning and scientific research.