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مدل آموزش مبتنی بر هوشمصنوعی در آموزشعالی بر پایه تحول پداگوژیکی و ارائه پروتکل اجرایی | ||
| فناوری و دانش پژوهی در تعلیم و تربیت | ||
| دوره 5، ویژه نامه زمستان - شماره پیاپی 19، بهمن 1404، صفحه 93-111 اصل مقاله (1.09 M) | ||
| نوع مقاله: ویژهنامه زمستان ۱۴۰۴ | ||
| شناسه دیجیتال (DOI): 10.30473/t-edu.2025.75705.1323 | ||
| نویسنده | ||
| فرهاد شفیع پور مطلق* | ||
| دانشیار گروه مدیریت آموزشی، واحد محلات، دانشگاه آزاد اسلامی، محلات، ایران. | ||
| چکیده | ||
| مسئله اساسی این پژوهش عبارت است از اینکه چگونه میتوان یک مدل آموزش مبتنی بر هوشمصنوعی در آموزشعالی طراحی کرد که بر پایه تحول پداگوژیکی، فرایند یاددهی -یادگیری را از حالت ایستا، منفعل و معلم محور بهسوی یادگیری فعال، شخصی سازی شده، خلاق و تعامل محور هدایت کند؟. روش تحقیق کیفی ترکیبی (سنتز پژوهی و تحلیل محتوا - گفتگو با هوشمصنوعی)، میدان پژوهش شامل دامنه اطلاعاتی هوشمصنوعی، کلیه مقالات منتشرشده در بازه سالهای 2025-2021 و کلیه اساتید هوشمصنوعی سطح کشور بوده است. شیوه نمونه گیری هدفمند تا حد اشباع دادهها تعداد 35 مقاله و 21 مصاحبه عمیق تا حد کفایت اطلاعات بوده است که به شیوه غربالگری انتخاب شد. تحلیل دادهها بر پایه دسته بندی مفاهیم باز، زیر مقوله و مقوله اصلی صورت پذیرفت. تحلیل دادهها با نرمافزار مکس کیودآ انجام گردید. برای تأمین روایی و اعتباربخشی دادهها از روش سه سوسازی استفاده شد. بهطور کلی نتایج نشان داد، مدل آموزش مبتنی بر هوشمصنوعی در نظام آموزشعالی بر پایه تحول پداگوژیکی مشتمل بر ابعاد هفتگانه (یادگیری شخصی سازی شده، یادگیری تطبیقی، یادگیری چت باتی، یادگیری سفارشی، یادگیری پلتفرمی، یادگیری آیندهپژوه، یادگیری خودپیش برنده) است. پروتکل اجرایی مدل یاد شده: یادگیری چت باتی: دارای 7 اقدام، یادگیری شخصی سازی شده دارای 5 اقدام، یادگیری تطبیقی دارای 5 اقدام، یادگیری آیندهپژوه دارای 5 اقدام، یادگیری خودپیش برنده دارای 5 اقدام، یادگیری پلتفرمی دارای 4 اقدام، یادگیری سفارشی دارای 4 اقدام است. نتیجه اینکه مدل آموزش مبتنی بر هوشمصنوعی با ابعاد هفتگانه خود، موجب تحول پداگوژیکی در آموزشعالی شده و یادگیری را بهسوی شخصیسازی، تطبیقپذیری و خودپیشبرندگی سوق میدهد. | ||
| کلیدواژهها | ||
| مدل آموزش؛ هوشمصنوعی؛ آموزشعالی؛ تحول پداگوژیک | ||
| عنوان مقاله [English] | ||
| Artificial Intelligence-Based Education Model in Higher Education Based on Pedagogical Transformation and Providing an Implementation Protocol | ||
| نویسندگان [English] | ||
| Farhad Shafiepour Motlagh | ||
| Associate Professor, Department of Educational Administration, Mahallat. C, Islamic Azad University, Mahallat, Iran. | ||
| چکیده [English] | ||
| The purpose of the research: The use of this artificial intelligence technology in many universities has led to a real transformation in higher education pedagogy. The main issue is how to design an artificial intelligence-based education model in higher education that, based on pedagogical transformation, guides the teaching-learning process from a static, passive, and teacher-centered state to active, personalized, creative, and interactive learning? The research method was a mixed qualitative research (sensing research and content analysis and conversation with artificial intelligence), the research field included the information domain of artificial intelligence, all articles published between 2021-2025, and all artificial intelligence professors in the country. The purposive sampling method was 35 articles and 21 in-depth interviews to the extent of data saturation, which were selected by screening. Data analysis was based on the classification of open concepts, subcategories, and main categories. The triangulation method was used to ensure validity and validation of the data. In general, the results showed that the AI-based education model in the higher education system is based on pedagogical transformation and includes seven dimensions (personalized learning, adaptive learning, chatbot learning, customized learning, platform learning, future-oriented learning, self-directed learning). The implementation protocol of the aforementioned model is: Chatbot learning: has 7 actions, personalized learning has 5 actions, adaptive learning has 5 actions, future-oriented learning has 5 actions, self-directed learning has 5 actions, platform learning has 4 actions, customized learning has 4 actions.The result is that the AI-based education model, with its seven dimensions, has brought about a pedagogical transformation in higher education and is pushing learning towards personalization, adaptability, and self-promotion. | ||
| کلیدواژهها [English] | ||
| Education Model, artificial Intelligence, Higher Education, Pedagogical Transformation | ||
| مراجع | ||
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Algerafi, M. A. Zhou, Y. Alfadda, H & Wijaya, T. T. (2023). Understanding the factors influencing higher education students’ intention to adopt artificial intelligence-based robots https://doi.org/10.1109/ACCESS.2023.3314499
Alotaibi, N. S & Alshehri, A. H. (2023). Prospers and obstacles in using artificial intelligence in Saudi Arabia higher education institutions—The potential of AI-based learning outcomes. Sustainability, 15(13), 10723. https://www.mdpi.com/2071-1050/15/13/10723.
Ashtikar, S. P & Manoharan, G. (2024, June). Digital transformation in higher education: A pedagogical perspective. In 2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) (pp. 210-215). IEEE. DOI: 10.1109/ICCMSO61761.2024.00051
Azoury, N & Hajj, C. (2024). Digital Transformation in Higher Education: Best Practices and Challenges. In The Evolution of Artificial Intelligence in Higher Education (pp. 129-146). Emerald Publishing Limited. DOI: 10.1108/978-1-83549-486-8_20241008
Chang, Q. Pan, X. Manikandan, N & Ramesh, S. (2022). Artificial intelligence technologies for teaching and learning in higher education. International Journal of Reliability, Quality and Safety Engineering, 29(05), 2240006. DOI: 10.1142/S021853932240006X
Choiriyah, S. Ramadhan, S. Nugroho, A & Muharom, F. (2025). Artificial intelligence-driven learning assessment in faculties of education: An exploratory study. Munaddhomah: Jurnal Manajemen Pendidikan Islam, 6(3), 482-495. DOI: 10.31538/munaddhomah.v6i3
Churi, P. P. Joshi, S. Elhoseny, M & Omrane, A. (Eds.). (2022). Artificial intelligence in higher education: A practical approach. CRC Press
de Bem Machado, A. dos Santos, J. R. Sacavém, A & Sousa, M. J. (2024). Digital transformations: Artificial Intelligence in higher education. In Digital Transformation in Higher Education Institutions (pp. 1-23). Cham: Springer Nature Switzerland DOI: ِ 10.1007/978-3-031-52296-3_1
Dzogovic, S. Zdravkovska-Adamova, B & Serpil, H. (2024). From Theory to Practice: A Holistic Study of the Application of Artificial Intelligence Methods and Techniques in Higher Education and Science. Human Research in Rehabilitation, 14(2). DOI: 10.21554/hrr.092406
George, B & Wooden, O. (2023). Managing the strategic transformation of higher education through artificial intelligence. Administrative Sciences, 13(9), 196. 10.3390/admsci13090196
Hakimi, M & Shahidzay, A. K. (2024). Transforming education with artificial intelligence: Potential and obstacles in developing countries. DOI: 10.11591/jeee.v3i5.8040
Kavitha, K & Joshith, V. P. (2025). Artificial intelligence powered pedagogy: Unveiling higher educators'. Journal of University Teaching and Learning Practice, 21(8), 1-34. DOI: 10.53761/s1pkk784
Kabir, M. N. (2019, October). Artificial intelligence-based digital transformation strategy in higher education institutions. In ECIAIR 2019 European Conference on the Impact of Artificial Intelligence and Robotics (pp. 182-190). Academic Conferences and publishing limited. https://www.proceedings.com/content/051/051786webtoc.pdf
Kölemen, C. Ş. (2024). Digital transformation in education: multidimensional effects of artificial intelligence supported learning management systems. Participatory Educational Research, 11(5), 102-124. DOI: 10.17275/per.24.66.11.5
Köpeczi-Bócz, T. (2025). New Paradigms of Learning: Artificial Intelligence and Pedagogical Innovation in Higher Education. https://real.mtak.hu/id/eprint/217255
Lakshmi, A. J. Kumar, A. Kumar, M. S. Patel, S. I., Naik, S. L & Ramesh, J. V. N. (2023). Artificial intelligence in steering the digital transformation of collaborative technical education. The Journal of High Technology Management Research, 34(2), 100467. DOI: 10.1016/j.hitech.2023.100467
Latino, F. Tafuri, G & Tafuri, F. (2025). Artificial Intelligence as a Teaching and Pedagogical Tool. Journal of Inclusive Methodology and Technology in Learning and Teaching, 5(1). DOI: 10.5281/zenodo.8123456
López-Regalado, O. Núñez-Rojas, N. López-Gil, O. R. Lloclla-Gonzáles, H & Sánchez-Rodríguez, J. (2024). Artificial intelligence in university education: Systematic review. DOI: 10.12795/pixelbit.106336
Luo, J. Zheng, C. Yin, J & Teo, H. H. (2025). Design and assessment of AI-based learning tools in higher education: a systematic review. International Journal of Educational Technology in Higher Education, 22(1), 42. DOI: 10.1186/s41239-025-00540-2
Marengo, A. Pagano, A. Pange, J & Soomro, K. A. (2024). The educational value of artificial intelligence in higher education: A 10-year systematic literature review. Interactive Technology and Smart Education, 21(4), 625-644. DOI: 10.1108/ITSE-11-2023-0218
Mohammadjafari, K. Mohammadi, M. Kowsari, M. Naserjahromi, R. Khademi, S. Shadi, F. Ethna Ashari, A. (2025). “Exploring the Achievements of Digital Emotional Intelligence Development in Higher Education: A Critical‑Interpretive Meta‑Synthesis Approach.” Journal of Technology and Research in Education, Vol. 5, No. 3 (Issue 17), pp. 55–71. https://doi.org/10.30473/T-EDU.2025.74008.1259
Mustafa, G. Urooj, T & Aslam, M. (2024). Role of artificial intelligence for adaptive learning environments in higher education by 2030. Journal of Social Research Development, 5(3). DOI: 10.53664/JSRD/05-03-2024-02-12-22
Ocaña-Fernández, Y. Valenzuela-Fernández, L. A & Garro-Aburto, L. L. (2019). Artificial Intelligence and Its Implications in Higher Education. Journal of Educational Psychology-Propositos y Representaciones, 7(2), 553-568. DOI: 10.20511/pyr2019.v7n2.274
O'dea, X & O'Dea, M. (2023). Is artificial intelligence really the next big thing in learning and teaching in higher education?: A conceptual paper. Journal of University Teaching and Learning Practice, 20(5), 1-17. DOI: 10.53761/1.20.5.05
Qian, L. Cao, W & Chen, L. (2025). Influence of artificial intelligence on higher education reform and talent cultivation in the digital intelligence era. Scientific Reports, 15(1), 6047. DOI: 10.1038/s41598-025-89392-4
Quy, V. K. Thanh, B. T. Chehri, A. Linh, D. M & Tuan, D. A. (2023). AI and digital transformation in higher education: Vision and approach of a specific university in Vietnam. Sustainability, 15(14), 11093 DOI: 10.3390/su151411093
Radif, M. (2024). Artificial Intelligence in Education: Transforming Learning Environments and Enhancing Student Engagement. Educational Sciences: Theory & Practice, 24(1). DOI: 10.12738/jestp.2024.1.008
Rahiman, H. U & Kodikal, R. (2024). Revolutionizing education: Artificial intelligence empowered learning in higher education. Cogent Education, 11(1), 2293431. https://www.cetjournal.it/index.php/cet/article/view/CET23107082
Rakuasa, H. Faris, D. A & Hidayatullah, M. (2024). Transforming education in the age of artificial intelligence: Challenges and opportunities in Indonesia, a literature review. Journal Education Innovation (JEI), 2(1), 180-186 DOI: 10.3303/CET23107082
Ren, X & Wu, M. L. (2025). Examining teaching competencies and challenges while integrating artificial intelligence in higher education. TechTrends, 1-20. DOI: 10.1007/s11528-025-01055-3
Roy, S & Kumar, S. (2024). Revolutionizing Education: How Artificial Intelligence is transforming the Learning Landscape. DOI: 10.17605/OSF.IO/2Z9Q7
Ryzheva, N. Nefodov, D. Romanyuk, S. Marynchenko, H & Kudla, M. (2024). Artificial Intelligence in higher education: opportunities and challenges. Amazonia Investiga, 13(73), 284-296. DOI: 10.34069/AI/2024.73.01.24
Saaida, M. B. (2023). AI-Driven transformations in higher education: Opportunities and challenges. International journal of educational research and studies, 5(1), 29-36. DOI: 10.5281/zenodo.8164414
Sadeghi, Z. Shafiee Pour Motlagh, F. (2024). “Educational Career Pathways of Future Teachers Based on Artificial Intelligence: Presenting a Model.” Teaching Research Journal, Vol. 12, No. 2 (Issue 36), July, pp. 184–209. https://doi.org/10.22034/TRJ.2024.141979.2051
Sadeghi, Z. Shafiee Pour Motlagh, F. (2025). “Designing a Model for Empowering Entrepreneurial School Principals Using Artificial Intelligence.” Journal of Education and Entrepreneurship Management, Razi University, Vol. 1 (Issue 10), June, pp. 71–92. https://doi.org/10.22126/EME.2025.11908.1157
Semeniuk, R. Holovnia, Y. Huda, O & Savastru, N. (2024). Innovative methodologies and approaches to teaching with artificial intelligence in Ukrainian Higher Education. Futurity Education, 4(1), 24-52. DOI: 10.57125/FED.2024.03.25.02
Shafiepour Motlagh, F. (2025). AI‑Based Electronic Assessment in the Information Society. Proceedings of the 3rd International Conference on Needs and Necessities of Higher Education Systems in the Information Society, University of Science and Culture. https://enis.usc.ac.ir/
Shafiepour Motlagh, F. (2024). “Artificial Intelligence in Education: What, Why, and How.” Journal of Transcendent Education, No. 4 (Issue 12), pp. 51–66.
Siddiqui, M. T. (2024). Innovative Pedagogical Practices: Transforming Education with Artificial Intelligence. Available at SSRN 5059335.
Siminto, S. Akib, A. Hasmirati, H & Widianto, D. S. (2023). Educational management innovation by utilizing artificial intelligence in higher education. al-fikrah: Jurnal Manajemen Pendidikan, 11(2), 284-296. DOI:10.31958/jaf.v11i2.11860
Singh, A. (2022). Pedagogical Shift in Education: Artificial Intelligence-based Practices. In Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments (pp. 50-72). IGI Global Scientific Publishing. DOI: 10.4018/978-1-6684-4950-9.ch004
Vinkóczi, T. Koltai, J. P. Nagy, N. G. Szabó-Szentgróti, E & Szabó-Szentgróti, G. (2023). The sustainable contribution of Artificial Intelligence to higher education-Results of a pilot study. Chemical Engineering Transactions, 107, 487-492. DOI: 10.3303/CET23107082
Wagan, A. A. Khan, A. A. Chen, Y. L. Yee, P. L. Yang, J. & Laghari, A. A. (2023). Artificial intelligence-enabled game-based learning and quality of experience: A novel and secure framework (B-AIQoE). Sustainability, 15(6), 5362. DOI: 10.3390/su15065362
Wicaksono, T. Zulfikar, R & Yulianti, F. (2025). Tracing The Digital Transformation: A Bibliometric Investigation Of Artificial Intelligence Adoption In Higher Education. Applied Business and Administration Journal, 4(2), 93-110. DOI: 10.3303/CET23107082
Yu, H & Nazir, S. (2021). Role of 5G and artificial intelligence for research and transformation of English situational teaching in higher studies. Mobile Information Systems, 2021(1), 3773414. DOI: 10.1155/2021/3773414
andi, S. Sorna, S. Rezaei, M. Omidvar, B. Shabiri, S. M. (2025). The Impact of Transformation in Environmental Education Ranking Systems in Higher Education: A Critical Analysis of the GreenMetric Index and Proposal of a Model. Journal of Technology and Research in Education, Vol. 5, No. 3 (Issue 17), pp. 23–38. https://doi.org/10.30473/T-EDU.2025.75062.1294 | ||
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آمار تعداد مشاهده مقاله: 147 تعداد دریافت فایل اصل مقاله: 16 |
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