تحول در دانش حرفه ای معلمان با ظهور هوش مصنوعی

اکرمی, فاطمه; قادری, مصطفی

doi:10.48310/jcdr.2024.16814.1109

پورتال معاونت پژوهشی دانشگاه

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	تحول در دانش حرفه ای معلمان با ظهور هوش مصنوعی
پژوهش در مطالعات برنامه درسی تربیت معلم
دوره 4، شماره 1 - شماره پیاپی 6، شهریور 1403، صفحه 95-123 اصل مقاله (1.14 M)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.48310/jcdr.2024.16814.1109
نویسندگان
فاطمه اکرمی^* ¹؛ مصطفی قادری²
¹دانشکده علوم انسانی دانشگاه تربیت مدرس
²گروه مطالعات برنامه درسی،دانشکده روانشناسی و علوم تربیتی ، دانشگاه علامه طباطبایی
چکیده
پیشینه و اهداف: علیرغم نقش مهم معلمان،اطلاعات کمی در مورد دانش معلم برای استفاده از ابزارهای مبتنی بر هوش مصنوعی در آموزش وجود دارد. همینطور، تحقیقات کمی در مورد سنجش دانش حرفه ای معلمان برای آموزش مبتنی بر هوش مصنوعی وجود دارد. علاوه بر این، ملاحظات و ارزیابی های اخلاقی در مورد هوش مصنوعی هنوز از دیدگاه معلم مورد بررسی قرار نگرفته است. بنابراین، درک کمتری از نحوه تفسیر و ارزیابی معلمان تصمیمات مبتنی بر هوش مصنوعی وجود دارد. در نهایت، شواهد تجربی محدودی وجود دارد که توضیح می‌دهد چگونه مهارت‌های آموزشی معلمان برای استفاده از هوش مصنوعی با ارزیابی اخلاقی آن ها مرتبط است. با توجه به این شکاف‌ها، هدف از این تحقیق آشکار ساختن دانش معلمان برای استفاده از ابزارهای مبتنی بر هوش مصنوعی برای آموزش مؤثر بر اساس TPACK است. ارزیابی تصمیمات توسط ابزارهای مبتنی بر هوش مصنوعی به مؤلفه دانش متفاوتی از دانش آموزشی نیاز دارد. ما ارزیابی اخلاقی را به عنوان یک مؤلفه دانش متمایز برای ارائه دیدگاهی قابل درک و صریح مورد بررسی قرار دادیم. در مطالعه حاضر، TPACK با ارزیابی های اخلاقی ابزارهای مبتنی بر هوش مصنوعی گسترش یافت. به عبارت دیگر، ما سعی کردیم دانش اخلاقی را که معلمان باید برای ادغام اخلاقی ابزارهای مبتنی بر هوش مصنوعی داشته باشند، شناسایی کنیم.روش‌ها‌: رویکرد پژوهش کیفی و روش به کار رفته سنتزپژوهی وابزار مورد استفاده چک لیست است .روش تجزیه وتحلیل داده ها بر اساس کدگذاری اشتراوس وکوربین، کدگذاری باز، محوری و انتخابی صورت پذیرفته است. جامعه پژوهش،کلیه پژوهش ها و اسناد علمی در قالب مقالات و پایان نامه ها در بازه زمانی 2024-2014 و برای مقالات داخلی بازه زمانی 1398-1402 است. در نهایت، پس از غربالگری های صورت گرفته 59 منبع به صورت مستقیم مورد استفاده قرار گرفته است. یافته‌ها: یافته ها نشان دادند که معلمان به عنوان محور اصلی اجرای سیاست های برنامه درسی، در مواجهه و تعامل با هوش مصنوعی نیازمند تحول در دانش،مهارت و نگرش و کسب شایستگی های ویژه هستند. در پژوهش حاضر تحول در دانش حرفه ای معلمان با ظهور هوش مصنوعی در قالب چارچوب TPACK تعیین شده است و از آنجا که از شرایط تعامل موفق با هوش مصنوعی درک مسائل اخلاقی این فناوری است، بحث اخلاق نیز با معرفی TEPCK مورد تاکید قرار گرفته است. تحول در اموزش معلمان با ظهور هوش مصنوعی در 8 مولفه ی " دانش فناوری هوش مصنوعی"،" مهارت های عملیاتی"،" دانش پداگوژیکی هوش مصنوعی"،" دانش محتوایی هوش مصنوعی"،" دانش محتوایی هوش مصنوعی"،" مهارت های تحلیلی و انتقادی"،" دانش اخلاقی و حقوقی"،" مهارت های ارتباطی"و" توسعه حرفه ای مداوم"شناسایی شده است. نتیجه‌گیری: توانایی های هوش مصنوعی در آموزش به طور کامل مورد استفاده قرار نگرفته است. برای ادغام موثر هوش مصنوعی در آموزش، دانش فنی و آموزشی ویژه معلمان هوش مصنوعی ضروری است .علاوه بر این، به دلیل مسائل اخلاقی جدید ناشی از هوش مصنوعی، معلمان نیز باید دانش ارزیابی تصمیمات مبتنی بر هوش مصنوعی را داشته باشند. هیچ یک از مطالعات قبلی تاکنون دانش معلم را برای استفاده آموزشی و اخلاقی از ابزارهای مبتنی بر هوش مصنوعی بررسی نکرده است. با در نظر گرفتن این شکاف، ضمن به روز رسانی TPACK معلمان برای تعامل با هوش مصنوعی، به جنبه های اخلاقی نیز پرداخته شد.
کلیدواژه‌ها
اخلاق؛ دانش حرفه ای؛ معلمان؛ هوش مصنوعی؛ تی پک
عنوان مقاله [English]
Transformation in teachers' professional knowledge with the emergence of artificial intelligence
نویسندگان [English]
Fateme Akrami¹؛ Mostafa Ghaderi²
¹tarbiat modares university
²Department of Curriculum Studies, Faculty of Psychology and Educational Sciences, Allameh Tabatabai University
چکیده [English]
Background and Objectives: Despite the important role of teachers, there is little information about teacher knowledge to use AI-based tools in education. Also, there is little research on measuring teachers' professional knowledge for AI-based education. In addition, ethical considerations and evaluations regarding artificial intelligence have not yet been explored from a teacher's perspective. Therefore, there is less understanding of how teachers interpret and evaluate AI-based decisions. Finally, there is limited empirical evidence that explains how teachers' pedagogical skills to use AI are related to their moral evaluation. Considering these gaps, the purpose of this research is to reveal the knowledge of teachers to use artificial intelligence-based tools for effective teaching based on TPACK. Evaluation of decisions by AI-based tools requires a different knowledge component than educational knowledge. We examined ethical evaluation as a distinct knowledge component to provide a clear and understandable perspective. In the present study, TPACK was expanded with ethical evaluations of AI-based tools. In other words, we tried to identify the ethical knowledge that teachers should have for the ethical integration of AI-based tools.Methods: The approach of qualitative research and the method used is synthesis research and the tool used is checklist. The data analysis method is based on Strauss and Corbin coding, open, axial and selective coding. The research community is all researches and scientific documents in the form of articles and theses in the time frame of 2014-2024 and for internal articles in the time frame of 1402-1398. Finally, after screening, 59 sources have been used directly. Findings: The findings showed that teachers, as the main focus of implementing curriculum policies, need to transform their knowledge, skills and attitudes and acquire special competencies when facing and interacting with artificial intelligence. In the current study, the evolution of teachers' professional knowledge with the emergence of artificial intelligence has been determined in the form of TPACK framework, and since one of the conditions for successful interaction with artificial intelligence is understanding the ethical issues of this technology, the discussion of ethics has also been emphasized by introducing TEPCK. Transformation in teacher training with the emergence of artificial intelligence in 8 components of "Artificial Intelligence Technology Knowledge", "Operational Skills", "Artificial Intelligence Pedagogical Knowledge", "Artificial Intelligence Content Knowledge", "Artificial Intelligence Content Knowledge", "Analytical Skills" and criticality", "ethical and legal knowledge", "communication skills" and "continuous professional development" have been identified. Conclusion: Conclusion: The abilities of artificial intelligence in education have not been fully used. For the effective integration of artificial intelligence in education, special technical and pedagogical knowledge of artificial intelligence teachers is necessary. In addition, due to the new ethical issues caused by artificial intelligence, teachers must also have the knowledge to evaluate decisions based on artificial intelligence. None of the previous studies have investigated teacher knowledge for educational and ethical use of artificial intelligence-based tools. Considering this gap, while updating teachers' TPACK to interact with artificial intelligence, ethical aspects were also addressed.
کلیدواژه‌ها [English]
Ethics, professional knowledge, teachers, artificial intelligence, T-pack

مراجع
-Adıgüzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology. -Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431-440. - Al-Zyoud, H. M. M. (2020). The role of artificial intelligence in teacher professional development. Universal Journal of Educational Research, 8(11B), 6263-6272. -Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., ... & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion, 58, 82-115. - Ayanwale, M. A., Sanusi, I. T., Adelana, O. P., Aruleba, K. D., & Oyelere, S. S. (2022). Teachers’ readiness and intention to teach artificial intelligence in schools. Computers and Education: Artificial Intelligence, 3, 100099. - Borenstein, J., & Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1, 61-65. - Bryant, J., Heitz, C., Sanghvi, S., & Wagle, D. (2020). How artificial intelligence will impact K-12 teachers. Retrieved May, 12, 2020. -Cavalcanti, A. P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y. S., Gašević, D., & Mello, R. F. (2021). Automatic feedback in online learning environments: A systematic literature review. Computers and Education: Artificial Intelligence, 2, 100027. - Cebi, A., Özdemir, T. B., Reisoğlu, İ., & Colak, C. (2022). From digital competences to technology integration: Re-formation of pre-service teachers’ knowledge and understanding. International Journal of Educational Research, 113, 101965. -Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468. - Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630. Murphy, R. F. (2019). Artificial intelligence applications to support K-12 teachers and teaching. Rand Corporation, 10. -Cheng, K. H., & Tsai, C. C. (2019). A case study of immersive virtual field trips in an elementary classroom: Students’ learning experience and teacher-student interaction behaviors. Computers & Education, 140, 103600. -Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language learning. Educational Technology & Society, 24(1), 205-222. -Choi, S., Jang, Y., & Kim, H. (2022). Influence of pedagogical beliefs and perceived trust on teachers’ acceptance of educational artificial intelligence tools. International Journal of Human-Computer Interaction, 1–13 - Choi, B., & Young, M. F. (2021). TPACK-L: teachers’ pedagogical design thinking for the wise integration of technology. Technology, Pedagogy and Education, 30(2), 217-234. - Druga, S., Otero, N., & Ko, A. J. (2022, July). The landscape of teaching resources for ai education. In Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1 (pp. 96-102). - Du, Y., & Gao, H. (2022). Determinants affecting teachers’ adoption of AI-based applications in EFL context: An analysis of analytic hierarchy process. Education and Information Technologies, 1–28. -Edwards, C., Edwards, A., Spence, P. R., & Lin, X. (2018). I, teacher: using artificial intelligence (AI) and social robots in communication and instruction. Communication Education, 67(4), 473-480. - Fleckenstein, J., Meyer, J., Jansen, T., Keller, S. D., Köller, O., & Möller, J. (2024). Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays. Computers and Education: Artificial Intelligence, 6, 100209. - Garrett, N., Beard, N., & Fiesler, C. (2020, February). More than" If Time Allows" the role of ethics in AI education. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (pp. 272-278). - Ghamrawi, N., Shal, T., & Ghamrawi, N. A. (2023). Exploring the impact of AI on teacher leadership: regressing or expanding?. Education and Information Technologies, 1-19. - Giannakos, M. N., Doukakis, S., Crompton, H., Chrisochoides, N., Adamopoulos, N., & Giannopoulou, P. (2014, October). Examining and mapping CS teachers' technological, pedagogical and content knowledge (TPACK) in K-12 schools. In 2014 IEEE Frontiers in Education Conference (FIE) Proceedings (pp. 1-7). IEEE. - Guggemos, J., & Seufert, S. (2021). Teaching with and teaching about technology–Evidence for professional development of in-service teachers. Computers in Human Behavior, 115, 106613. - Hao, Y. (2016). The development of pre-service teachers' knowledge: A contemplative approach. Computers in Human Behavior, 60, 155-164. - Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., ... & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 1-23. - Jamil, H., Raza, S. H., & Naqvi, S. G. (2023). Artificial Intelligence and Grand Challenges for Education. Journal of Policy Research, 9(1). - Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology & Society, 21(3), 48-59. - Kanbul, S., Adamu, I., Usman, A. G., & Abba, S. I. (2022). Coupling TPACK instructional model with computing artificial intelligence techniques to determine technical and vocational education teacher’s computer and ICT tools competence. -- Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274. - Kim, J. (2023). Leading teachers' perspective on teacher-AI collaboration in education. Education and Information Technologies, 1-32. - Kim, S., Jang, Y., Choi, S., Kim, W., Jung, H., Kim, S., & Kim, H. (2021). Analyzing teacher competency with TPACK for K-12 AI education. KI-Künstliche Intelligenz, 35(2), 139-151. - Kim, M. K., Xie, K., & Cheng, S. L. (2017). Building teacher competency for digital content evaluation. Teaching and Teacher Education, 66, 309-324. -Koehler, M., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)?. Contemporary issues in technology and teacher education, 9(1), 60-70. - Koehler, M., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)?. Contemporary issues in technology and teacher education, 9(1), 60-70. - Law, N. W. Y. (2010). Teacher skills and knowledge for technology integration. International encyclopedia of education. - Lee, M. H., & Tsai, C. C. (2010). Exploring teachers’ perceived self efficacy and technological pedagogical content knowledge with respect to educational use of the World Wide Web. Instructional Science, 38(1), 1–21. -Lim, E. M. (2024). Metaphor analysis on pre-service early childhood teachers’ conception of AI (Artificial Intelligence) education for young children. Thinking Skills and Creativity, 51, 101455. - Lin, P., & Van Brummelen, J. (2021, May). Engaging teachers to co-design integrated AI curriculum for K-12 classrooms. In Proceedings of the 2021 CHI conference on human factors in computing systems (pp. 1-12). - Long, D., & Magerko, B. (2020, April). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-16). - Martin, F., Zhuang, M., & Schaefer, D. (2023). Systematic review of research on artificial intelligence in K-12 education (2017–2022). Computers and Education: Artificial Intelligence, 100195. - Meng, W., & Sumettikoon, P. (2022). The use of artificial intelligence to enhance teaching effectiveness in vocational education. Eurasian Journal of Educational Research, 98(98), 266-283. - Mouza, C., Karchmer-Klein, R., Nandakumar, R., Ozden, S. Y., & Hu, L. (2014). Investigating the impact of an integrated approach to the development of preservice teachers' technological pedagogical content knowledge (TPACK). Computers & Education, 71, 206-221. - Olofson, M. W., Swallow, M. J., & Neumann, M. D. (2016). TPACKing: A constructivist framing of TPACK to analyze teachers' construction of knowledge. Computers & Education, 95, 188-201. - Razak, A., Nayak, M. P., Manoharan, G., Durai, S., Rajesh, G. A., Rao, C. B., & Ashtikar, S. P. (2023). Reigniting the power of artificial intelligence in education sector for the educators and students competence. In Artificial Intelligence and Machine Learning in Smart City Planning (pp. 103-116). Elsevier. - Rosenberg, J. M., & Koehler, M. J. (2015). Context and technological pedagogical content knowledge (TPACK): A systematic review. Journal of research on technology in education, 47(3), 186-210. - Rott, K. J., Lao, L., Petridou, E., & Schmidt-Hertha, B. (2022). Needs and requirements for an additional AI qualification during dual vocational training: Results from studies of apprentices and teachers. Computers and education: Artificial intelligence, 3, 100102. - Sanusi, I. T., Ayanwale, M. A., & Tolorunleke, A. E. (2024). Investigating pre-service teachers’ artificial intelligence perception from the perspective of planned behavior theory. Computers and Education: Artificial Intelligence, 6, 100202. - Smestad, B., Hatlevik, O. E., Johannesen, M., & Øgrim, L. (2023). Examining dimensions of teachers’ digital competence: A systematic review pre-and during COVID-19. Heliyon. -Shin, D., & Park, Y. J. (2019). Role of fairness, accountability, and transparency in algorithmic affordance. Computers in Human Behavior, 98, 277-284. -Seufert, S., Guggemos, J., & Sailer, M. (2021). Technology-related knowledge, skills, and attitudes of pre-and in-service teachers: The current situation and emerging trends. Computers in Human Behavior, 115, 106552. - Smakman, M., Vogt, P., & Konijn, E. A. (2021). Moral considerations on social robots in education: A multi-stakeholder perspective. Computers & Education, 174, Article 104317 - Stolpe, K., & Hallström, J. (2024). Artificial intelligence literacy for technology education. Computers and Education Open, 6, 100159 - Tao, B., Díaz, V., & Guerra, Y. (2019). Artificial intelligence and education, challenges and disadvantages for the teacher. Arctic Journal, 72(12), 30-50. - Uerz, D., Volman, M., & Kral, M. (2018). Teacher educators' competences in fostering student teachers’ proficiency in teaching and learning with technology: An overview of relevant research literature. Teaching and Teacher Education, 70, 12-23. - Valtonen, T., Sointu, W., Kukkonen, J., Kontkanen, S., Lambert, M., & M¨akitalo-Siegl, K. (2017). TPACK updated to measure pre-service teachers’ twenty-first century skills. Australasian Journal of Educational Technology, 33(3), 15–31. - van den Berg, G., & du Plessis, E. (2023). ChatGPT and generative AI: Possibilities for its contribution to lesson planning, critical thinking and openness in teacher education. Education Sciences, 13(10), 998. - Velander, J., Taiye, M. A., Otero, N., & Milrad, M. (2024). Artificial Intelligence in K-12 Education: eliciting and reflecting on Swedish teachers' understanding of AI and its implications for teaching & learning. Education and Information Technologies, 29(4), 4085-4105. - Vivian, R., & Falkner, K. (2019, July). Identifying teachers' Technological Pedagogical Content Knowledge for computer science in the primary years. In Proceedings of the 2019 ACM conference on international computing education research (pp. 147-155). - Wang, Y., & Zhao, P. (2020). A probe into spoken English recognition in English education based on computer-aided comprehensive analysis. International Journal of Emerging Technologies in Learning (iJET), 15(3), 223-233. -Wang, Y., Liu, C., & Tu, Y. F. (2021). Factors affecting the adoption of AI-based applications in higher education. Educational Technology & Society, 24(3), 116-129. -Wang, X., Li, L., Tan, S. C., Yang, L., & Lei, J. (2023). Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness. Computers in Human Behavior, 146, 107798. - Williams, R., Kaputsos, S. P., & Breazeal, C. (2021, May). Teacher perspectives on how to train your robot: A middle school AI and ethics curriculum. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 17, pp. 15678-15686). - Yi, Y. (2021). Establishing the concept of AI literacy. Jahr–European Journal of Bioethics, 12(2), 353-368. - Yurdakul, I. K., Odabasi, H. F., Kilicer, K., Coklar, A. N., Birinci, G., & Kurt, A. A. (2012). The development, validity and reliability of TPACK-deep: A technological pedagogical content knowledge scale. Computers & Education, 58(3), 964–977. - 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), 1-27. - Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1), 8812542. -Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2, 100025.
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تحول در دانش حرفه ای معلمان با ظهور هوش مصنوعی