طراحی الگوی دانشگاه هوشمند مبتنی بر اینترنت اشیاء و هوش مصنوعی
محورهای موضوعی :
زهرا حیدری
1
(دانشگاه آزاد اسلامی، واحد تهران جنوب، تهران، ایران)
زهرا طالب
2
(مدیر گروه برنامه ریزی درسی واحد تهران جنوب)
زینب گلزاری
3
(استادیارگروه روانشناسی وعلوم تربیتی،دانشگاه آزاد اسلامی،تهران،ایران)
کلید واژه: دانشگاه هوشمند, اینترنت اشیاء, هوش مصنوعی, تحلیل مضمون, دلفی,
چکیده مقاله :
روی کار آمدن فناوری‌های نوین به خصوص هوش مصنوعی و اینترنت اشیاء، تعریف دانشگاه در قرن بیست و یکم را به سمت دانشگاه هوشمند تغییر داد. در دانشگاه هوشمند فضاها با استفاده از اینترنت اشیاء و هوش مصنوعی به محیطی امن و تحت کنترل و هوشمندانه برای فراگیران تبدیل می‌شود. با توجه به اهمیت هوشمندسازی دانشگاه همگام با سایر کشورها، پژوهش حاضر به دنبال ارائه الگوی دانشگاه هوشمند مبتنی بر اینترنت اشیاء و هوش مصنوعی می‌باشد. روش پژوهش از نوع کیفی بود و با استفاده از مصاحبه‌های نیمه‌ساختاریافته با خبرگان اطلاعات لازم جمع‌آوری و با هدف استخراج عناصر و اجزای مدل، این اطلاعات براساس روش تحلیل مضمون کدگذاری شد. جامعه آماری پژوهش شامل خبرگان دانشگاهی از رشته‌های تکنولوژی آموزشی، مدیریت آموزش عالی، فناوری اطلاعات و ارتباطات و هوش مصنوعی به تعداد 23 نفر بود. نمونه‌گیری به صورت هدفمند و گلوله برفی انجام شد. برای اعتباریابی شبکه مضامین از تکنیک دلفی استفاده شد. یافته‌های پژوهش نشان داد که الگوی دانشگاه هوشمند مبتنی بر اینترنت اشیاء و هوش مصنوعی دارای 15 مولفه و 70 زیرمولفه است.
The use of new technologies, especially artificial intelligence and the Internet of Things, changed the definition of a university in the 21st century towards a smart university. In the smart university, spaces are transformed into a safe, controlled and intelligent environment for learners using the Internet of Things and artificial intelligence. Considering the importance of making the university smart in line with other countries, the current research seeks to provide a model of a smart university based on the Internet of Things and artificial intelligence. The research method was qualitative and by using semi-structured interviews with experts, necessary information was collected and with the aim of extracting the elements and components of the model, this information was coded based on thematic analysis method. The statistical population of the research included 23 academic experts from the fields of educational technology, higher education management, information and communication technology, and artificial intelligence. Sampling was done in a targeted and snowball way. Delphi technique was used to validate the theme network. The research findings showed that the smart university model based on Internet of Things and artificial intelligence has 15 components and 70 sub-components.
References
AlAjmi, A. (2021). Artificial Intelligence and Smart Universities. A. Hamdan et al. (eds.), The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, Studies in Computational Intelligence 935, https://doi.org/10.1007/978-3-030-62796-6_17
Albadi, A., Khan, A., & Alotaibi, E. (2022). Perceptions of Learners and Instructors towards Artificial Intelligence in Personalized Learning. Procedia Computer Science 201, 445–451. http://creativecommons.org/licenses/by-nc-nd/4.0/
Alhasan, A., Hussein, M. H., Audah, L., Al‑Sharaa, A., Ibrahim, I., & Mahmoud, M. A. (2023). A case study to examine undergraduate students’ intention to use internet of things (IoT) services in the smart classroom. Education and Information Technologies, https://doi.org/10.1007/s10639-022-11537-z
Almetere, E. S., Kelana, B. W. Y., & Mansor, N. N. A. (2020). Using UTAUT Model to Determine Factors Affecting Internet of Things Acceptance in Public Universities. International Journal of Academic Research in Business and Social Sciences, 10(2), 142–150. DOI:10.6007/IJARBSS/v10-i2/6915
Alshoqran, M., & Shorman, S. (2021). A Review on Smart Universities and Artificial Intelligence. A. Hamdan et al. (eds.), The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, Studies in Computational Intelligence 935, https://doi.org/10.1007/978-3-030-62796-6_16
Bhutoria, A. (2022). Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education: Artificial Intelligence 3, https://doi.org/10.1016/j.caeai.2022.100068
Bali , M. M. E. I., Kumalasani, M. P., & Yunilasari, D. (2022). Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students. Journal of Innovation in Educational and Cultural Research , 3(2), 146-152. http://jiecr.org|DOI: 10.46843/jiecr.v3i2.88
Bautista, D. W. R. (2019). Conceptual framework for smart university. Journal of Physics Conference Series, Sixth International Meeting of Technological Innovation (6th IMTI). DOI: 10.1088/1742-6596/1409/1/012009
Braun,v., & Clarke,v.(2006).Using thematic analysis in psychology. Qualitative Research in psychology, vol.3, no.2, pp.77-101.
Chen, X., Xie, H., Zou, D., & Hwang, G. H. (2020). Application and theory gaps during the rise of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence 1. https://doi.org/10.1016/j.caeai.2020.100002
Chen, X., & Xie, H. (2020). A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers. Computers and Education: Artificial Intelligence 1, https://doi.org/10.1016/j.caeai.2020.100005
Dazdari, M., Enayati, T., & Zameni, F. (2017).Identifying the dimensions of information technology that are effective in creating an academic image Appropriate, Information and communication technology quarterly in educational, 27-43.
Keykha, A. (2023). Extraction and Classification of Smart University Components to Provide a Conceptual Framework: A Meta-Synthesis Study. Sciences and Techniques of Information Management, Volume 8, Issue 4.[in persion]
Khanifar, H. & Moslemi,N. (2020). Principles and basics of qualitative research methods. Negha Danesh Publications.[in persion]
Khraisat, H. S. Y., Alahmadi, A. A., Ullah, N., Abeida, H., Alharbi. M. Y., & Soliman, S. M. (2021). A Smart University Building Based on Artificial Intelligence and the Internet of Things. Preprints. Taif University, Ministry of Education, Saudi Arabia, under Grant 1-440-6140., DOI:10.20944/preprints202102.0170.v1
Lajevardi, S., Rezaian, A, Talebpour, A., & Sharifi, S. (2018). Smart university, a solution to improve the international rankings of universities. Public Administration Perspectives, 10(4), 15-40.[in persion]
Li, J., Li, J., Yang, Y., & Ren, Z. (2021). Design of Higher Education System Based on Artificial Intelligence Technology. Discrete Dynamics in Nature and Society1-11, https://doi.org/10.1155/2021/3303160
Mbombo, A. B., & Cavus, N. (2021). Smart University: A University In the Technological Age. TEM Journal. 10 (1), 13‐17. https://doi.org/10.18421/TEM101-02.
Mohanachandran, D. K., Yap, C. T., Ismaili, Z., & Govindarajo, S. N. (2021).Smart University and Artificial Intelligence. A. Hamdan et al. (eds.), The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, Studies in Computational Intelligence 935, https://doi.org/10.1007/978-3-030-62796-6_15.
Mircea, M., Stoica, M., & Ghilic-Micu, A. B. (2021). Investigating the Impact of the IoT in Higher Education Environment. IEEE Access, Volume 9. https://creativecommons.org/licenses/by/4.0/
Pasko, Ł., Ma˛dziel, M., Stadnicka, D., Dec, G., Carreras-Coch, A., Sole-Beteta, X., Pappa, L., Stylios, C., Mazzei, D., & Atzeni, D. (2022). Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing. Sustainability, 14, 3312. https://doi.org/10.3390/ su14063312
Perez, F.; Berna M, J.V.; & Lorenzo F, I. (2021). Modelling and Implementing Smart Universities: An IT Conceptual Framework. Sustainability, 13,3397. https://doi.org/10.3390/ su13063397.
Pham. T. V., Anh Thu T. Nguyen., Thanh Dinh Ngo., Duy H. Le., Khai C.V. Le., Thuong H.N. Nguyen., & Huy Q. Le. (2020). Proposed Smart University Model as a Sustainable Living Lab for University Digital Transformation. [Conference presentation abstract]. 5th International Conference on Green Technology and Sustainable Development (GTSD).
Pllic, M.; Paun, D.; Popovic, S, N.; Hadzic, A.; Jianu, A. (2021). Needs and Performance Analysis for Changes in Higher Education and Implementation of Artificial Intelligence, Machine Learning, and Extended Reality. Educ. Sci., 11, 568. https://doi.org/10.3390/ educsci11100568
Rahmani, A., Vaziri Nejad, A., Ahmadi Nia, H., & Rezaian, M. (2020).Methodological Principles and Applications of the Delphi Method: A Narrative Review, J Rafsanjan Univ Med Sci 2020; 19 (5): 515-38. [in persian]
Rodney, B. D. (2020). Understanding the paradigm shift in education in the twenty-first century The role of technology and the Internet of Things. Worldwide Hospitality and Tourism Themes Vol. 12 No. 1, 35-47. DOI 10.1108/WHATT-10-2019-0068
Richter, O. Z., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? Journal of Educational Technology in Higher Education 2-17. https://doi.org/10.1186/s41239-019-0171-0
Saeidi, Y., Salehi, E., & Shabani, F. (2016).Teachers' attitude towards the use of educational technology in teaching Its relationship with job satisfaction in smart schools, Information and communication technology quarterly in educational, 99-122.
Salas, S. Z., & Yang, Y. (2022). Artificial intelligence applications in Latin American higher education: a systematic review. International Journal Education Technology ln Higher Education, https://doi.org/10.1186/s41239-022-00326-w
Salehi, M., Hoseini, Z., & Ghasemi, A. (2017). Information technology relationship with competitive advantage and capacity knowledge management. Information and communication technology quarterly in educational, 84-173.