| تعداد نشریات | 46 |
| تعداد شمارهها | 1,230 |
| تعداد مقالات | 10,557 |
| تعداد مشاهده مقاله | 21,135,284 |
| تعداد دریافت فایل اصل مقاله | 14,263,946 |
بررسی استفاده از منابع الکترونیکی با بهرهگیری از هوش مصنوعی،مطالعه موردی: دانشجویان رشته فقه و حقوق دانشگاه پیام نور قم | ||
| پژوهش های کتابخانه های دیجیتالی و هوشمند | ||
| دوره 12، شماره 2 (پیاپی 45)، تیر 1404، صفحه 1-12 اصل مقاله (1.31 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.30473/mrs.2025.74505.1627 | ||
| نویسنده | ||
| رضا مظفری* | ||
| استادیار، گروه فقه و مبانی حقوق اسلامی، دانشگاه پیام نور، تهران، ایران. | ||
| چکیده | ||
| پژوهش حاضر با هدف بررسی استفاده از منابع الکترونیکی با بهرهگیری از هوش مصنوعی، مطالعه موردی: دانشجویان رشته فقه و حقوق دانشگاه پیام نور قم است. این پژوهش از نوع تحقیقات کاربردی است و به روش توصیفی و تحلیل انجام گرفت. جامعه آماری شامل 90 نفر از دانشجویان دانشگاه پیام نور قم بود که در بخشهای مختلف سازمان مشغول به فعالیت بودند. در این پژوهش روش نمونهگیری از نوع نمونهگیری تصادفی و براساس فرمول کوکران 70 نفر به دست آمد. ابزار گردآوری اطلاعات پرسشنامه هوش مصنوعی چن و همکاران (٢٠٢٢) و پرسشنامه پیشرفت علمی عبدخدایی (١٣٨٧) بود. روایی پرسشنامهها به کمک متخصصان تأیید و پایایی پرسشنامهها به کمک ضریب آلفا کرونباخ برای پرسشنامه هوش مصنوعی برابر 87/٠ و برای پرسشنامه پیشرفت علمی برابر 91/٠ به دست آمد. تحلیل دادهها براساس آزمونهای ضریب همبستگی پیرسون به کمک نرمافزار SPSS استفاده شد. یافتهها: یافتهها نشان داد مدیریت هوش مصنوعی811/0، تصمیمگیری مبتنی بر هوش مصنوعی866/0، زیرساختهای هوش مصنوعی876/0، مهارتهای هوش مصنوعی901/0 و تمایل به هوش مصنوعی 902/0 بر استفاده از منابع الکترونیکی دانشجویان رشته فقه دانشگاه پیام نور قم در بستر هوش مصنوعی تأثیرگذار است. این پژوهش با استفاده از اطلاعات منسجم و دستهبندی شده با بهکارگیری هوش مصنوعی میتواند در ارتقای منابع الکترونیکی از نظر زیرساختی و مهارتی دانشجویان رشته فقه دانشگاه پیام نور قم مؤثر و همچنین مرجعی برای مطالعات آینده در این حوزه مفید باشد. | ||
| کلیدواژهها | ||
| هوش مصنوعی؛ بستر فضای مجازی؛ رشته فقه؛ حقوق؛ دانشگاه پیام نور | ||
| عنوان مقاله [English] | ||
| Investigating the use of Electronic Resources Using Artificial Intelligence, Case Study: Jurisprudence and Law Students at Payame Noor University of Qom | ||
| نویسندگان [English] | ||
| Reza Mozafari | ||
| Assistant Professor, Department of Jurisprudence and, Foundations of Islamic Law, Payame Noor University, Tehran, Iran. | ||
| چکیده [English] | ||
| Introduction The present study aims to examine the utilization of electronic resources through artificial intelligence, focusing on students majoring in Jurisprudence and Law at Payame Noor University of Qom . Methodology This research is applied in nature and conducted using a descriptive and analytical method. The statistical population consisted of 90 students from Payame Noor University of Qom who were engaged in various organizational activities. In this study, the sampling method was random sampling, and based on Cochran’s formula, a sample size of 70 participants was determined. The data collection tools included Chen et al.’s (2022) Artificial Intelligence Questionnaire and Abdikhodaei’s (2008) Academic Achievement Questionnaire. The validity of the questionnaires was confirmed by experts, and their reliability was verified by Cronbach’s alpha coefficient — 0.87 for the Artificial Intelligence Questionnaire and 0.91 for the Academic Achievement Questionnaire. Data analysis was performed using Pearson’s correlation test with SPSS software. Findings The findings indicated that artificial intelligence management (r = 0.811), AI-based decision-making (r = 0.866), AI infrastructure (r = 0.876), AI skills (r = 0.901), and AI inclination (r = 0.902) had significant impacts on the use of electronic resources among students majoring in Jurisprudence at Payame Noor University of Qom in the context of artificial intelligence. Discussion and Conclusion This research, by utilizing organized and classified information through artificial intelligence, can contribute to enhancing electronic resources in terms of infrastructural and skill-related aspects for students of Jurisprudence at Payame Noor University of Qom. It can also serve as a valuable reference for future studies in this field. Artificial intelligence will transform the traditional university in the future. Proper education and teaching methods can enhance students’ talents, whereas improper education may have disastrous consequences. In the field of education, AI tools based on machine learning can be applied to various tasks such as monitoring student activities and developing models that accurately predict student outcomes (Lan, Lan et al., 2020). The academic progress of students, influenced by virtual environments and artificial intelligence technologies, has become an important and noteworthy issue. Nowadays, virtual platforms are recognized as effective tools for learning and information exchange that can contribute to improving the quality of education in this discipline. By utilizing AI-based tools, students can access rich scientific resources and benefit from various opportunities such as online classes, discussion groups, and educational software (Miller, 2022). These technologies enable students to learn and conduct research remotely, anytime and anywhere. Furthermore, artificial intelligence can facilitate the process of analyzing and interpreting jurisprudential texts, assisting students in developing new perspectives within their academic studies. Consequently, this process not only enhances students’ scientific levels but may also bring about transformations in teaching and learning methods within the field of Jurisprudence and Fundamentals of Law. Overall, the impact of virtual space and artificial intelligence on the academic progress of Jurisprudence and Law students at Payame Noor University of Qom can be examined from different perspectives, and this can lead to improved teaching quality and the enhancement of their academic performance. Research Methodology This research, in terms of purpose, is applied and has been conducted using a descriptive–analytical method. The statistical population consisted of 90 students from Payame Noor University of Qom who are engaged in various organizational activities. In this study, the sampling method was random sampling, and according to Cochran’s formula, a sample of 70 participants was obtained. The data collection tools included the Academic Achievement Questionnaire by Abdikhodaei (2008) containing 10 items, and the Artificial Intelligence Questionnaire by Chen et al. (2022). The AI questionnaire comprised five dimensions: AI Management, AI-Based Decision-Making, AI Infrastructure, AI Skills, and AI Inclination. Review of Research Findings: Overall, Artificial Intelligence (AI) has transformed into a powerful tool in daily life. With its numerous capabilities and applications, this technology is poised to create significant advancements and changes across various social and economic challenges in the future. Thanks to continuous progress in AI, this technology is rapidly improving and developing. As research continues and investment in this field increases, its role in society and across different industries is expected to expand considerably. In the review of similar studies, it was concluded that the research conducted by Amirsardari and Goudarzi (1402) shows a direct and significant relationship. This current study is also aligned with the findings of Fallah (1402) and Kheir (1403). Furthermore, the present research is consistent with international studies, such as those by Chen et al. (2022), Peng et al. (2022), and Warner & Sloan (2021), as each of these studies recognizes AI and its underlying infrastructures as a novel and effective pathway for developing activities and operations. Moreover, this research established that AI has revolutionized the field of education and the method of knowledge acquisition for students, thereby enhancing their learning experiences. Through the use of Machine Learning algorithms, AI possesses the ability to adapt to the individual needs of each student, providing personalized learning experiences that cater to their unique requirements. One of the most crucial advantages of AI in university settings and the educational system generally is the improvement of individual learning quality for every student. In the past, the effort was focused on ensuring all students absorbed educational materials at the same pace. | ||
| کلیدواژهها [English] | ||
| Artificial Intelligence, Academic Achievement, Electronic Resources, Jurisprudence and Foundations of Law, Payame Noor University, Qom Province | ||
|
سایر فایل های مرتبط با مقاله
|
||
| مراجع | ||
|
Abdkhodai, S., Seif, A.A., & Karimi, Y. (2008). Making and Normalization of the Academic Motivation Scale in the Male High School Students in Mashhad and the Effect of Instruction of the Study Skills on the Motivation, Studies in Education and Psychology, 9(1), 5. (In Persian) DOI: 10.22067/fe.v9i1.2048 Amirsardari, S., & Goodarzi, M.R. (2013). The role and application of artificial intelligence in education. The 9th National Conference on Modern Studies and Research in the Field of Educational Sciences, Psychology and Counseling in Iran, Tehran. (In Persian) Chen, M., Zhang, B., Cai, Z., Seery, S., Gonzalez, M. J., Ali, N. M. ... & Jiang, Y. (2022). Acceptance of clinical artificial intelligence among physicians and medical students: a systematic review with cross-sectional survey. Frontiers in medicine, 9, 990604. DOI: 10.3389/fmed.2022.990604 Falaah, A. (2014). Presenting an education model based on artificial intelligence. Master's thesis. Ghadir Institute of Higher Education - Langrud, Department of Management. (In Persian) Khair, R. (2014). Acceptance of artificial intelligence in higher education from the perspective of the acceptance framework for the use of artificial intelligence tools. Master's thesis, Al-Zahra University. Faculty of Social and Economic Sciences. (In Persian) Krenn, Mario, et al. (2022). On scientific understanding with artificial intelligence. Nature Reviews Physics. 4(12), 761-769. DOI: 10.1038/s42254-022-00518-3 Lan, L., You, L., Zhang, Z., Fan, Z., Zhao, W., Zeng, N. ... & Zhou, X. (2020). Generative adversarial networks and its applications in biomedical informatics. Frontiers in public health, 8, 164. https://doi.org/10.3389/fpubh.2020.00164 Miller, G. J. (2022). Stakeholder roles in artificial intelligence projects. Project Leadership and Society, 3, 100068. https://doi.org/10.1016/j.plas.2022.100068 Peng, Y., Liu, E., Peng, S., Chen, Q., Li, D., & Lian, D. (2022). Using artificial intelligence technology to fight COVID-19: a review. Artificial intelligence review, 55(6), 4941-4977. DOI: 10.1007/s10462-021-10106-z Piorkowski, D., Park, S., Wang, A. Y., Wang, D., Muller, M., & Portnoy, F. (2021). How ai developers overcome communication challenges in a multidisciplinary team: A case study. Proceedings of the ACM on human-computer interaction, 5(CSCW1), 1-25. DOI:10.1145/3449205 Warner, R., & Sloan, R. H. (2021). Making artificial intelligence transparent: Fairness and the problem of proxy variables. Criminal Justice Ethics, 40(1), 23-39. http://dx.doi.org/10.2139/ssrn.3764131 Yadav, S. P., Mahato, D. P., & Linh, N. T. D. (Eds.). (2020). distributed artificial intelligence: A modern approach. CRC Press. | ||
|
آمار تعداد مشاهده مقاله: 4 تعداد دریافت فایل اصل مقاله: 1 |
||