آینده‌پژوهی توسعه آموزش هوشمند با در نظر گرفتن نقش فناوری‌های نوین

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، گروه مهندسی کامپیوتر، دانشگاه بین‌المللی امام خمینی(ره)، قزوین، ایران

2 دانشجوی دکتری آینده‌پژوهی، دانشکده علوم اجتماعی، دانشگاه بین‌المللی امام خمینی(ره)، قزوین، ایران

3 دانشجوی دکتری مدیریت بازرگانی، دانشگاه تهران، تهران، ایران

چکیده

مقدمه و هدف: تمرکز ما در این پژوهش بر هوش مصنوعی و اینترنت اشیاء است. این دو، مجموعه‌ای از فناوری‌هایی هستند که ضمن تمایز آفرینی به سرعت در حال گسترش می‌باشند و جنبه‌های مختلف مربوط به آموزش را به‌طور اساسی تغییر می‌دهند. بنابراین هدف از انجام این پژوهش شناسایی سناریوهای توسعه آموزش مبتنی بر درک صحیح از تغییرات در روند توسعه فناوری در سطح بین‌المللی است.
روش‌شناسی پژوهش: پژوهش حاضر از نظر روش از نوع آمیخته اکتشافی است. بدین ترتیب ابتدا در گام اول با روش کیفی مرور ادبیات پژوهش پیشران‌ها شناسایی و در گام دوم با روش کمّی آزمون دوجمله‌ای تأیید شدند، سپس در گام سوم با روش دیمتل به تحلیل پیشران‌ها پرداخته شد. در نهایت پس از شناسایی عدم قطعیت‌های کلیدی، در گام چهارم با استفاده از روش تحلیل متوازن تأثیر متقابل، سناریوها استخراج و سپس تدوین گردیدند. ابزار جمع‌آوری داده‌ها پرسشنامه‌های خبره‌سنجی برای روش‌های آزمون دوجمله‌ای، دیمتل و تحلیل متوازن تأثیر متقابل است. بدین ترتیب جامعه نظری در گام‌های دوم الی چهارم پژوهش را خبرگان آگاه به موضوع پژوهش به تعداد 20 نفر از طریق نمونه‌گیری هدفمند تشکیل می‌دهد.
یافته‌ها: ما نهایتاً توانستیم 16 پیشران تأثیرگذار را شناسایی کنیم و بر مبنای حالت‌های تأثیرگذاری آنها که آینده را متأثر می‌سازد به تدوین سه سناریو محتمل بپردازیم.
بحث و نتیجه‌گیری: نتایج ما تأکید می‌کند که تحقیقات هوش مصنوعی تأثیر قابل توجهی بر ساختار آموزشی دارد. جنبه‌های مهم رشد هوش مصنوعی بر آموزش شامل صنعت آموزش خصوصی قوی و علاقه فزاینده بین‌المللی است. این مطالعه بر اساس رهنمودهای تحقیقاتی مبتنی بر شواهد، دستور کار روشنگری را برای آینده ارائه می‌دهد که به محققان آینده، هوش مصنوعی برای شناسایی مسائل تحقیقاتی معاصر و توسعه تحقیقات تأثیرگذار برای حل مشکلات پیچیده اجتماعی کمک می‌کند.
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کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Futures studies for development of smart education considering the role of new technologies

نویسندگان [English]

  • Morteza Mohammadi Zanjireh 1
  • Seyed Morteza Mortazavi 2
  • Morteza Hadizadeh 3
1 Assistant Professor, Computer Engineering Department, Imam Khomeini International University, Qazvin, Iran
2 Ph.D. Candidate in Futures Studies, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran
3 PhD Student, Faculty of Management, university of Tehran, Tehran
چکیده [English]

Background and purpose: Our focus in this research is on Artificial Intelligence (AI) and the Internet of Things (IoT). These two technologies are rapidly expanding and fundamentally changing various aspects related to education. The aim of this study is to identify a scenarios of developing an education based on a proper understanding of changes in the process of technological development at the international level.

Method: The methodology of this study is mixed exploratory. In this way, in the first step, the drivers were identified by the qualitative method of literature review, and in the second step, they were confirmed by the quantitative method of the binomial test, then in the third step, the drivers were analyzed using the DEMATEL method. Finally, after identifying the key uncertainties, using the method of Cross-Impact Balances, The scenarios were extracted and then writing. the theoretical community in the second to fourth steps of the research consists of 20 experts through purposive sampling who are knowledgeable about the research topic.

Findings: Ultimately, we identified 16 influential drivers and based on their impact states, which shape the future, we developed three distinct scenarios.

Conclusion: Our findings emphasize that AI research significantly impacts the educational structure. Important aspects of AI growth on education include a strong private education industry and increasing international interest. This study provides an enlightening research guideline for the future, helping researchers in identifying contemporary research issues and developing impactful research to address complex social problems, leveraging AI.

کلیدواژه‌ها [English]

  • Education
  • Technological Education
  • Artificial Intelligence
  • Internet of Things
  • Future Studies
Abdel‐Basset, M., Manogaran, G., Mohamed, M., & Rushdy, E. (2019). Internet of things in smart education environment: Supportive framework in the decision‐making process. Concurrency and Computation: Practice and Experience31(10), e4515.‏ https://doi.org/10.1002/cpe.4515
Ade-Ibijola A, Young K, Sivparsad N, Seforo M, Ally S, Olowolafe A, Frahm-Arp M(2022) Teaching Students About Plagiarism Using a Serious Game (Plagi-Warfare): Design and Evaluation Study. JMIR Serious Games 10(1):e33459. https://doi.org/10.2196/33459
Aldowah, H., Rehman, S. U., Ghazal, S., & Umar, I. N. (2017, September). Internet of Things in higher education: a study on future learning. In Journal of Physics: Conference Series (Vol. 892, No. 1, p. 012017). IOP Publishing.‏ https://iopscience.iop.org/article/10.1088/1742-6596/892/1/012017/meta
Alonso-Secades, V., López-Rivero, A. J., Martín-Merino-Acera, M., Ruiz-García, M. J., & Arranz-García, O. (2022). Designing an intelligent virtual educational system to improve the efficiency of primary education in developing countries. Electronics11(9), 1487.        https://doi.org/10.3390/electronics11091487
Arslan K (2020). Eğitimde yapay zekâ ve uygulamaları [Artificial Intelligence and Applicatıons in Education]. Batı Anadolu Eğitim Bilimleri Dergisi 11(1):71–88. https://dergipark.org.tr/en/download/article-file/1174773
Assante, D., Caforio, A., Flamini, M., & Romano, E. (2019, April). Smart Education in the context of Industry 4.0. In 2019 IEEE Global Engineering Education Conference (EDUCON) (pp. 1140-1145). IEEE.‏ https://researchr.org/publication/AssanteCFR19
Awan, U., Shamim, S., Khan, Z., Zia, N. U., Shariq, S. M., & Khan, M. N. (2021). Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance. Technological Forecasting and Social Change, 168, 120766. https://doi.org/10.1016/j.techfore.2021.120766
Baabdullah, A. M., Alalwan, A. A., Algharabat, R. S., Metri, B., & Rana, N. P. (2022). Virtual agents and flow experience: An empirical examination of AI-powered chatbots. Technological Forecasting and Social Change, 181, 121772. https://doi.org/10.1016/j.techfore.2022.121772
Chauhan, C., Parida, V., & Dhir, A. (2022). Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises. Technological Forecasting and Social Change, 177, 121508.‏ https://doi.org/10.1016/j.techfore.2022.121508
Chen, X., Zou, D., Xie, H., & Wang, F. L. (2021). Past, present, and future of smart learning: a topic-based bibliometric analysis. International Journal of Educational Technology in Higher Education, 18, 1-29.‏ DOI: 10.1186/s41239-020-00239-6
Chiu, T. K., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence4, 100118.‏ https://doi.org/10.1016/j.caeai.2022.100118
Dai, C. P., & Ke, F. (2022). Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review. Computers and Education: Artificial Intelligence, 100087.‏ https://doi.org/10.1016/j.caeai.2022.100087
Dana, L. P., Salamzadeh, A., Mortazavi, S., Hadizadeh, M., & Zolfaghari, M. (2022). Strategic futures studies and entrepreneurial resiliency: a focus on digital technology trends and emerging markets. Tec Empresarial, 16(1), 87-100.‏ https://ideas.repec.org/a/ris/tecemp/2204.html
Dellot, B., & Wallace-Stephens, F. (2017). The age of automation. Artificial intelligence, robotics and the future of low-skilled work, 44.‏ https://www.thersa.org/globalassets/pdfs/reports/rsa_the-age-of-automation-report.pdf
Dong, Z. Y., Zhang, Y., Yip, C., Swift, S., & Beswick, K. (2020). Smart campus: definition, framework, technologies, and services. IET Smart Cities, 2(1), 43-54.‏ doi: 10.1049/iet-smc.2019.0072
Edler, D., & Ribakova, T. (1994). The impact of industrial robots on the level and structure of employment in Germany—A simulation study for the period 1980–2000. Technological Forecasting and Social Change, 45(3), 255-274.‏ https://doi.org/10.1016/0040-1625(94)90049-3
Ekin, C. Ç. (2022). Eğitimde yapay zeka uygulamaları ve zeki öğretim sistemleri [Artificial intelligence applications and smart teaching systems in education]. Eğitimde Dijitalleşme ve Yeni Yaklaşımlar. Eğitimde Dijitalleşme ve Yeni Yaklaşımlar. Efe Akademi Puplication, Istanbul.‏
El Mhouti, A., & Erradi, M. (2018, October). Towards a smart learning management system (smart-LMS) to improve collaborative learning in higher education. In Proceedings of the 3rd International Conference on Smart City Applications (pp. 1-9).‏ https://dl.acm.org/doi/10.1145/3286606.3286784
Falkenreck, C., & Wagner, R. (2017). The internet of things – Chance and challenge in industrial business relationships. Industrial Marketing Management, 66, 181–195. DOI: 10.1016/j.indmarman.2017.08.007
Fernández-Batanero, J. M., Montenegro-Rueda, M., Fernández-Cerero, J., & López Menéses, E. (2023). Adoption of the Internet of Things in higher education: opportunities and challenges. Interactive Technology and Smart Education.‏ https://doi.org/10.1108/ITSE-01-2023-0025
Ghashim, I. A., & Arshad, M. (2023). Internet of Things (IoT)-Based Teaching and Learning: Modern Trends and Open Challenges. Sustainability15(21), 15656.‏ https://doi.org/10.3390/su152115656
Guo, X. R., Li, X., & Guo, Y. M. (2021). Mapping knowledge domain analysis in smart education research. Sustainability, 13(23), 13234.‏ https://doi.org/10.3390/su132313234
Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers3, 275-285.          ‏ https://doi.org/10.1016/j.susoc.2022.05.004
Hoseini Moghadam, M. (2023). Artificial intelligence and the future of university education in Iran. Quarterly Journal of Research and Planning in Higher Education29(1), 1-25. [in persian]          ‏ https://journal.irphe.ac.ir/article_704912.html
Hu, K. H. (2023). An exploration of the key determinants for the application of AI-enabled higher education based on a hybrid Soft-computing technique and a DEMATEL approach. Expert Systems with Applications212, 118762.‏ https://doi.org/10.1016/j.eswa.2022.118762
Hwang TJ, Rabheru K, Peisah C, Reichman W, Ikeda M (2020). Loneliness and social isolation during the COVID-19 pandemic. Int Psychogeriatr 32(10):1217–1220. doi: 10.1017/S1041610220000988
Jiatong, W., Murad, M., Bajun, F., Tufail, M. S., Mirza, F., & Rafiq, M. (2021). Impact of entrepreneurial education, mindset, and creativity on entrepreneurial intention: mediating role of entrepreneurial self-efficacy. Frontiers in Psychology, 12, 724440.‏ https://doi.org/10.3389/fpsyg.2021.724440
Jo, A. (2023). The promise and peril of generative AI. Nature, 614(1), 214-216.‏
Kaplan, A. M., & Haenlein, M. (2019a). Digital transformation and disruption: On big data, blockchain, artifcial intelligence, and other things. Business Horizons, 62(6), 679–681. https://doi.org/10.1016/j.bushor.2019.07.001.
Kassab, M., DeFranco, J., & Laplante, P. (2020). A systematic literature review on internet of things in education: Benefits and challenges. Journal of computer Assisted learning36(2), 115-127.‏ https://doi.org/10.1111/jcal.12383
Kopka, A., & Grashof, N. (2022). Artificial intelligence: Catalyst or barrier on the path to sustainability?. Technological Forecasting and Social Change, 175, 121318.       ‏ https://doi.org/10.1016/j.techfore.2021.121318
Kumar, K., & Al-Besher, A. (2022). IoT enabled e-learning system for higher education. Measurement: Sensors24, 100480.‏ https://doi.org/10.1016/j.measen.2022.100480
Mahto, R. V., McDowell, W., Sen, S., & Ahluwalia, S. (2018). Internet of Things (IoT) and entrepreneurship education: opportunities and challenges. Annals of Entrepreneurship Education and Pedagogy–2018, 162-186.‏ DOI: 10.4337/9781788114950.00017
Maini V, Sabri S. (2017). Machine learning for humans. https://medium.com/machine-learning-for-humans
Makarova, I., Shubenkova, K., Antov, D., & Pashkevich, A. (2019). Digitalization of engineering education: From e-learning to smart education. In Smart Industry & Smart Education: Proceedings of the 15th International Conference on Remote Engineering and Virtual Instrumentation 15 (pp. 32-41). Springer International Publishing. DOI: 10.1007/978-3-319-95678-7_4 ‏
Maleki, M. H., Mirzaie, M., & Rahimian Asl, M. M. (2022). Scenario planning of the cement industry in Iran with a mixed approach. Journal of Improvement Management16(3), 60-88.‏ [in persian]         https://www.behboodmodiriat.ir/article_160701.html
McStay A (2020) Emotional AI and EdTech: serving the public good? Learn Media Technol 45(3):270–283. https://doi.org/10.1080/17439884.2020.1686016
Mohamed Hashim, M. A., Tlemsani, I., & Matthews, R. (2021). Higher education strategy in digital transformation. Education and Information Technologies, 1-25.‏ https://doi.org/10.1007/s10639-021-10739-1
Mohammadhosseini, B., Hadizadeh, M., & Ghafelebashi, S. F. (2021). The Drivers of Sustainable Cyber Service Offer in the Government with an Emphasis on Maintaining Security Using Artificial Intelligence. Journal of Iran Futures Studies5(2), 35-65.‏ [in persian]      https://jfs.journals.ikiu.ac.ir/article_2407.html
Mohammadhosseini, B., hadizadeh, M., & Saki, Y. (2022). Possible Scenarios for the Future of Medical Devices in Iran with an Emphasis on Modern Information Technologies and the Effects of Coronavirus. Journal of Iran Futures Studies, 7(2), 203-234. [in persian] doi: 10.30479/jfs.2022.15507.1288
Mohammadian, M., Sedighi, M., & Serkani, M. (2022). Selection of Internet of things (IOT) applications in education industry using the Best-Worst Multi-Criteria Decision-Making Method. Technology of Education Journal (TEJ)16(2), 363-386. [in persian] https://doi.org/10.22061/tej.2022.7414.2533
Mokhtari, S. A. M., & Rezvani, R. (2023). Application of artificial intelligence in history education. [in persian] https://historyedu.cfu.ac.ir/article_2821.html
Mori, S. (1989). Macroeconomic effects of robotization in Japan. Technological Forecasting and Social Change, 35(2-3), 149-165.‏ https://doi.org/10.1016/0040-1625(89)90052-8
Nakitare J, Otike F (2022). Plagiarism conundrum in Kenyan universities: an impediment to quality research. Digit Libr Perspect. https://doi.org/10.1108/dlp-08-2022-0058
Nilsson, N. J. (1983). Artifcial intelligence prepares for 2001. AI Magazine, 4(4), 7-7. https://doi.org/10.1609/aimag.v4i4.411.
Nouri Hasan, K. A., sobhani, A., Hashemzade Khorasgani, G., abbaspour esfadan, G., Javadi, Z. S. (2021). Validating the education quality improvement model with IOT and cloud computing approach in school smarts. Education Strategies in Medical Sciences14(5), 276-285.‏ [in persian] https://edcbmj.ir/article-1-2449-fa.html
Önder HH (2002). Yapay zeka programlama teknikleri ve bilgisayar destekli eğitim
[Artificial intelligence programming techniques and computer aided education]. Sakarya Üniv Eğitim Fak Derg (3) 1(4):101–106
Plant, R. E. (1993). Expert systems in agriculture and resource management. Technological Forecasting and Social Change, 43(3-4), 241-257.‏ https://doi.org/10.1016/0040-1625(93)90054-B
Sachan, D., & Saroha, K. (2022). A review of adaptive and intelligent online learning systems. ICT Analysis and Applications, 251-262. https://doi.org/10.1007/978-981-16-5655-2_24
Salamzadeh, A., Hadizadeh, M., & Mortazavi, S. S. (2021). Realization of online entrepreneurship education based on new digital technologies in Iran: A scenario planning approach. Journal of Entrepreneurship Development14(3), 481-500. [in persian]‏ https://jed.ut.ac.ir/article_84943.html
Salamzadeh, A., Hadizadeh, M., Rastgoo, N., Rahman, M. M., & Radfard, S. (2022). Sustainability-oriented innovation foresight in international new technology based firms. Sustainability, 14(20), 13501.‏ https://doi.org/10.3390/su142013501
Sharma, A., Koohang, A., Rana, N. P., Abed, S. S., & Dwivedi, Y. K. (2022). Journal of Computer Information Systems: Intellectual and Conceptual Structure. Journal of Computer Information Systems, 1-31.‏ https://doi.org/10.1080/08874417.2021.2021114
Shi, W., Liu, X., Gong, X., Niu, X., Wang, X., Jing, S., ... & Luo, J. (2019, November). Review on development of smart education. In 2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) (pp. 157-162). IEEE.‏ DOI: 10.1109/SOLI48380.2019.8955052
Sucu İ .(2019). Yapay Zekânın toplum üzerindeki etkisi ve yapay zekâ (AI) filmi bağlamında yapay zekâya bakış [The effect of artifiticial intelligence on society and artificial intelligence the view of artificial intelligence in the context of film (I.A.)]. Uluslar Ders Kitapları Eğitim Materyalleri Derg 2(2):203–215.
Tahiru F (2021) AI in education: a systematic literature review. J Cases Inf Technol 23(1):1–20. https://doi.org/10.4018/JCIT.2021010101
Terzieva, V., Ilchev, S., & Todorova, K. (2022). The Role of Internet of Things in Smart Education. IFAC-PapersOnLine55(11), 108-113.‏ https://doi.org/10.1016/j.ifacol.2022.08.057
Van Geel, M., Keuning, T., Visscher, A. J., & Fox, J. P. (2016). Assessing the effects of a school-wide data-based decision-making intervention on student achievement growth in primary schools. American Educational Research Journal, 53(2), 360-394. https://doi.org/10.3102/0002831216637346
Visvizi, A., Lytras, M. D., & Daniela, L. (2018). (Re) defining smart education: Towards dynamic education and information systems for innovation networks. In Enhancing knowledge discovery and innovation in the digital era (pp. 1-12). IGI Global.‏ DOI: 10.4018/978-1-5225-4191-2
Wamba, S. F., Bawack, R. E., Guthrie, C., Queiroz, M. M., & Carillo, K. D. A. (2021). Are we preparing for a good AI society? A bibliometric review and research agenda. Technological Forecasting and Social Change, 164, 120482.‏ https://doi.org/10.1016/j.techfore.2020.120482
Whittaker, M., Crawford, K., Dobbe, R., Fried, G., Kaziunas, E., Mathur, V., ... & Schwartz, O. (2018). AI now report 2018 (pp. 1-62). New York: AI Now Institute at New York University.‏
Zeeshan, K., Hämäläinen, T., & Neittaanmäki, P. (2022). Internet of Things for sustainable smart education: An overview. Sustainability, 14(7), 4293. https://doi.org/10.3390/su14074293
Zhang, H., & Liu, X. (2021). Teaching System of Undergraduate Entrepreneurship Education under the Background of Internet of Things. Mobile Information Systems, 2021, 1-9.         ‏https://doi.org/10.1155/2021/4298724
Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence2, 100025. https://doi.org/10.1016/j.caeai.2021.100025