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واکاوی نقشهای هوش مصنوعی در طراحی و اجرای برنامههای آموزشی برخط | ||
| فناوری و دانش پژوهی در تعلیم و تربیت | ||
| دوره 5، ویژه نامه زمستان - شماره پیاپی 19، بهمن 1404، صفحه 131-150 اصل مقاله (1.46 M) | ||
| نوع مقاله: ویژهنامه زمستان ۱۴۰۴ | ||
| شناسه دیجیتال (DOI): 10.30473/t-edu.2026.76210.1358 | ||
| نویسندگان | ||
| حسین حافظی* 1؛ تورج حسنی راد2 | ||
| 1استادیار، علوم تربیتی، دانشگاه پیام نور، تهران، ایران. | ||
| 2استادیار، گروه علوم تربیتی، دانشگاه پیامنور، تهران، ایران. | ||
| چکیده | ||
| پژوهش حاضر با هدف واکاوی نقشهای هوش مصنوعی در طراحی و اجرای برنامههای آموزشی برخط انجام شد. روش پژوهش به لحاظ هدف، کاربردی و به لحاظ روش گردآوری دادهها، کیفی و مبتنی بر رویکرد پدیدارشناسی (توصیفی) بود. جامعهی مشارکتکنندگان پژوهش را اساتید دانشگاه پیامنور تشکیل دادهاند. روش نمونهگیری نیز بهصورت هدفمند نظری انجام شد به گونهای که با استفاده از 15 نفر از اساتید دانشگاه پیامنور دادههای مورد نیاز که به اشباع نظری رسیده بودند گردآوری شد. به منظور گردآوری دادهها، از مصاحبهی نیمهساختاریافته استفاده گردید. برای تضمین اعتبار ابزار، پروتکل مصاحبه توسط 3 نفر از متخصصان حوزه فناوری آموزشی و روششناسی کیفی بررسی و تأیید شد. تجزیه و تحلیل دادههای گردآوری شده با بکارگیری رویکرد تحلیل مضمون صورت پذیرفت. بهمنظور اعتباربخشی فرایند کدگذاری، از شاخص کاپای کوهن استفاده شد که بر اساس آن ضریب توافق بین دو کدگذار برابر با 87/0 بهدست آمد؛ این مقدار بیانگر سطح توافق عالی و نشاندهنده پایایی مطلوب فرایند کدگذاری است. نتایج نشان داد که مهمترین نقشهای هوش مصنوعی شامل خودکارسازی تصمیمگیری، شخصیسازی یادگیری، تولید محتوا و بازخورد خودکار، کشف الگو و پیشبینی نیاز، پشتیبانی کلاس و تعامل، تطبیقپذیری فرهنگی و محیطی و شفافیت الگوریتمی است. لذا؛ نقشهای هوش مصنوعی در آموزش برخط، نتیجه تعامل توانمندیهای فناورانه با فرآیندهای آموزشی و اجتماعی است. به عبارت دیگر، هوش مصنوعی نه تنها یک ابزار فنی، بلکه یک عامل سازماندهنده و تصمیمگیرنده در فرایند یادگیری است. | ||
| کلیدواژهها | ||
| هوش مصنوعی؛ طراحی؛ اجرا؛ آموزش برخط | ||
| عنوان مقاله [English] | ||
| Exploring the Roles of Artificial Intelligence in the Design and Implementation of Online Educational Programs | ||
| نویسندگان [English] | ||
| Hossein Hafezi1؛ Toraj Hassanirad2 | ||
| 1Assistant Professor, Department of Education, Payame Noor University(PNU),Tehran, Iran. | ||
| 2Assistant Professor, Department of Education, Payame Noor University (PNU), Tehran, Iran. | ||
| چکیده [English] | ||
| This research was conducted with the aim of exploring on the roles of Artificial Intelligence in the design and implementation of online educational programs. The research methodology was applied in terms of objective and qualitative based on the phenomenological (descriptive) approach in terms of data collection. The research participants populaton have formed of professors from Payame Noor University.The sampling method was theoretical purposive, where necessary data were collected from 15 faculty members of Payame Noor University until theoretical saturation was reached. Semi-structured interviews were used to collect the data. To ensure the validity of the instrument, the interview protocol was reviewed and approved by three experts in the field of educational technology and qualitative methodology. The analysis of the collected data was performed using the thematic analysis approach. In order to validate the coding process, Cohen's Kappa index was used, based on which the agreement coefficient between the two coders was 0/87; this value indicates an excellent level of agreement and indicates the desired reliability of the coding process. The results showed that the most important roles of AI include decision-making automation, learning personalization, content generation and automated feedback, pattern discovery and need prediction, class support and interaction, cultural and environmental adaptability, and algorithmic transparency. Therefore, the roles of AI in online education are the result of the interaction between technological capabilities and educational and social processes. In other words, AI is not only a technical tool but also an organizing and decision-making agent in the learning process. | ||
| کلیدواژهها [English] | ||
| Artificial Intelligence, Design, Implementation, Online Education | ||
| مراجع | ||
|
Adadi, A & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (XAI). IEEE Access, 6, 52138-52160. https://doi.org/10.1109/ACCESS.2018.2870052.
Bicknell, K. Brust, C & Settles, B. (2023). AI in education: Duolingo's approach to personalized learning. Communications of the ACM, 66(7), 42-49. https://doi.org/10.1145/3596219.
Bidel, M. Momenimahmoei, H and Ajam, A. (2025). Identifying The Requirements and Contexts for the Application of Artificial Intelligence in the Experimental Science Curriculum: Thematic Analysis. Technology and Scholarship in Education, 5(3), 109-126. [In Persian].https://doi.org/10.30473/TEDU.2025.73958.1257.
Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, 13(6), 4-16. https://doi.org/10.3102/0013189X013006004.
Brown, J. S & Adler, R. P. (2008). Minds on fire: Open education, the long tail, and learning 2.0. EDUCAUSE Review, 43(1), 16-32.
Burstein, J. Tetreault, J & Madnani, N. (2013). The E-rater automated essay scoring system. In M. D. Shermis & J. Burstein (Eds.), Handbook of automated essay evaluation: Current applications and new directions (pp. 55-67). Routledge. https://doi.org/10.4324/9780203122761.
Charitopoulos, A. Rangoussi, M & Koulouriotis, D. (2020). On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010-2018. International Journal of Artificial Intelligence in Education, 30(3), 371-430. https://doi.org/10.1007/s40593-020-00200-8.
Chen, L. Chen, P & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510.
Costa, E. B. Fonseca, B. Santana, M. A. de Araújo, F. F & Rego, J. (2017). Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses. Computers in Human Behavior, 73, 247-256. https://doi.org/10.1016/j.chb.2017.01.047.
Dennison, D. V. Jain, M. Ganu, T & Vashistha, A. (2025). Designing culturally aligned AI systems for social good in non-Western contexts. arXiv Preprint.
Du Boulay, B. (2016). Artificial intelligence as an effective classroom assistant. IEEE Intelligent Systems, 31(6), 76-81. https://doi.org/10.1109/MIS.2016.93.
Endsley, M. R. (2017). From here to autonomy: Lessons learned from human-automation research. Human Factors, 59(1), 5-27. https://doi.org/10.1177/0018720816681350.
Freire, P. (1970). Pedagogy of the oppressed. Continuum.
García, P. Amandi, A. Schiaffino, S & Campo, M. (2007). Evaluating Bayesian networks' precision for detecting students' learning styles. Computers & Education, 49(3), 794-808. https://doi.org/10.1016/j.compedu.2005.11.017.
Garrison, D. R. (2011). E-learning in the 21st century: A framework for research and practice (2nd ed.). Routledge. https://doi.org/10.4324/9780203166093.
Gefen, D. Karahanna, E & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90. https://doi.org/10.2307/30036519.
Hanifezadeh Nodehi, F. (2023). Using artificial intelligence and new educational technologies in school educational content. 1st international conference on management, education and training researches in education and training, Tehran, Iran. [In Persian]. https://civilica.com/doc/2000153/.
Holmes, W. Bialik, M & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Holstein, K & Doroudi, S. (2021). Equity and artificial intelligence in education: Will "AIEd" amplify or alleviate inequities in education?. In I. Roll, D. McNamara, S. Sosnovsky, R. Luckin, & V. Dimitrova (Eds.), Artificial intelligence in education (pp. 581-585). Springer. https://doi.org/10.1007/978-3-030-78292-4_47.
Hwang, G. J & Tu, Y. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584.
Hwang, G. J. Xie, H. Wah, B. W & Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001.
Kuhail, M. A. Alturki, N. Alramlawi, S & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973-1018. https://doi.org/10.1007/s10639-022-11177-3.
Kulik, J. A & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42-78. https://doi.org/10.3102/0034654315581420.
Leh, J. (2022). AI in LMS: Innovations for learning professionals. TalentedLearning. Retrieved from https://talentedlearning.com/ai-in-lms/.
Luan, H & Tsai, C. C. (2021). A review of using machine learning approaches for precision education. Educational Technology & Society, 24(1), 250-266.
Luckin, R. Holmes, W. Griffiths, M & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Morrison, G. R., Ross, S. J., Morrison, J. R., & Kalman, H. K. (2019). Designing effective instruction (8th ed.). Wiley.
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Siemens, G & Baker, R. S. J. D. (2012). Learning analytics and educational data mining: Towards communication and collaboration. In S. A. Buckingham Shum, D. Gašević, & R. Ferguson (Eds.), Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 252-254). ACM. https://doi.org/10.1145/2330601.2330661.
Trist, E. (1981). The evolution of socio-technical systems: A conceptual framework and an action research program. In A. Van de Ven & W. Joyce (Eds.), Perspectives on organization design and behavior (pp. 19-75). Wile.
VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197-221. https://doi.org/10.1080/00461520.2011.611369.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press. https://doi.org/10.2307/j.ctvjf9vz4.
Whitelock, D. (2010). Activating assessment for learning: Are we on the way with Web 2.0? In M. J. W. Lee & C. McLoughlin (Eds.), Web 2.0-based e-learning: Applying social informatics for tertiary teaching (pp. 319-342). IGI Global. https://doi.org/10.4018/978-1-60566-294-7.ch017.
Wilson, J & Czik, A. (2016). Automated essay evaluation software in English language arts classrooms: Effects on teacher feedback, student motivation, and writing quality. Computers & Education, 100, 94-109. https://doi.org/10.1016/j.compedu.2016.05.004.
Winkler, R & Söllner, M. (2018). Unleashing the potential of chatbots in education: A state-of-the-art analysis. Academy of Management Proceedings, 2018(1), 15903. https://doi.org/10.5465/AMBPP.2018.15903abstract.
Wise, A. F & Jung, Y. (2019). Teaching with analytics: Towards a situated model of instructional decision-making. Journal of Learning Analytics, 6(2), 53-69. https://doi.org/10.18608/jla.2019.62.4.
Xie, H. Chu, H. C. Hwang, G. J & Wang, C. C. (2019). Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017. Computers & Education, 140, 103599. https://doi.org/10.1016/j.compedu.2019.103599.
Xu, W & Ouyang, F. (2022). The application of AI technologies in STEM education: A systematic review from 2011 to 2021. International Journal of STEM Education, 9, 59. https://doi.org/10.1186/s40594-022-00377-5.
Zarenasab, M and Jamebozorg, Z. (2025). Challenges and opportunities of using artificial intelligence in elementary education: from the perspective of new teachers. Technology and Scholarship in Education, 5(1), 35-50. https://doi.org/10.30473/tedu.2025.73388.1238. [In Persian]
Zawacki-Richter, O. Marín, V. I. Bond, M & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0.
Zhang, D. Zhao, J. L. Zhou, L & Nunamaker Jr, J. F. (2004). Can e-learning replace classroom learning? Communications of the ACM, 47(5), 75-79. https://doi.org/10.1145/986213.986216. | ||
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آمار تعداد مشاهده مقاله: 83 تعداد دریافت فایل اصل مقاله: 10 |
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