| تعداد نشریات | 48 |
| تعداد شمارهها | 1,240 |
| تعداد مقالات | 10,658 |
| تعداد مشاهده مقاله | 21,747,802 |
| تعداد دریافت فایل اصل مقاله | 14,643,148 |
تاثیر استفاده از هوش مصنوعی به عنوان دستیار تدریس بر میزان انگیزش و یادگیری دانش آموزان ابتدایی | ||
| فناوری و دانش پژوهی در تعلیم و تربیت | ||
| دوره 5، ویژه نامه پاییز - شماره پیاپی 18، آذر 1404، صفحه 39-53 اصل مقاله (874.8 K) | ||
| نوع مقاله: ویژهنامه پاییز ۱۴۰۴ | ||
| شناسه دیجیتال (DOI): 10.30473/t-edu.2025.75416.1310 | ||
| نویسندگان | ||
| فاطمه پایکاری1؛ مریم اصفهانی* 2 | ||
| 1دانشجوی کارشناسی ارشد برنامه ریزی آموزشی، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران ایران. | ||
| 2استادیار گروه آموزش علوم تربیتی، دانشگاه فرهنگیان، تهران،ایران. | ||
| چکیده | ||
| هدف از پژوهش حاضر، بررسی تأثیر استفاده از هوش مصنوعی بهعنوان دستیار تدریس بر میزان انگیزش و یادگیری دانشآموزان ابتدایی است. این پژوهش از نوع نیمهآزمایشی با طرح پیشآزمون - پسآزمون با گروه کنترل و از نظر هدف جزء پژوهشهای کاربردی بود. جامعه آماری این پژوهش شامل کلیه دانشآموزان دختر پایه چهارم ابتدایی ناحیه 2 شهر کرج (طبق سایت آمار آموزش و پرورش 1400 نفر) در سال تحصیلی 1404-1403 میباشد. برای انتخاب نمونه 40 نفر از دانشآموزان دختر پایه چهارم، بهصورت نمونهگیری در دسترس انتخاب شدند. این تعداد افراد، بهصورت تصادفی در دو گروه آزمایش (20 نفر) و گروه کنترل (20 نفر) قرار گرفتند. ابزار گردآوری دادهها پرسشنامه انگیزش تحصیلی (ISM) مک اینرنی و سینکلایر (1992) و پرسشنامه یادگیری مک درموت (1999) بود. استفاده از هوش مصنوعی (به عنوان دستیار تدریس) در پژوهش حاضر، از طریق تخته هوشمند، واقعیت افزوده (AR) و واقعیت مجازی (VR) طی 10 جلسه 60 دقیقهای بر روی دانش آموزان گروه آزمایش اجرا شد. برای تحلیل دادهها و آزمون فرضیهها از آزمون تحلیل کوواریانس استفاده شد. نتایج یافتهها نشان داد که استفاده از هوش مصنوعی به عنوان دستیار تدریس بر میزان انگیزش و یادگیری دانش آموزان ابتدایی تاثیر معنیدار دارد. لذا؛ پبشنهاد میشود ابزارهای آموزشی تعاملی مبتنی بر هوش مصنوعی طراحی شوند که بتوانند به طور شخصیسازیشدهتری به نیازهای هر دانشآموز در راستای ارتقاء سطح انگیزش و یادگیری دانش آموزان پاسخ دهند. | ||
| کلیدواژهها | ||
| هوش مصنوعی؛ دستیار تدریس؛ انگیزش؛ یادگیری؛ دانشآموزان ابتدایی | ||
| عنوان مقاله [English] | ||
| The Effect of Using Artificial Intelligence as a Teaching Assistant on the Motivation and Learning of Elementary Students | ||
| نویسندگان [English] | ||
| fatemeh paykari1؛ Maryam Esfahani2 | ||
| 1M.A. Student in Educational Planning, Islamic Azad University, Science and Research Branch, Tehran, Iran | ||
| 2Assistant Professor, Department of Educational Sciences, Farhangian University, Tehran, Iran. | ||
| چکیده [English] | ||
| The purpose of the present study was to investigate the effect of using artificial intelligence (AI) as a teaching assistant on the motivation and learning of elementary school students. The research method was a quasi-experimental design with a pre-test-post-test design with a control group and was an applied research in terms of purpose. The statistical population of this study included all fourth-grade female students in District 2 of Karaj City (1400 people according to the Education Statistics website) in the academic year 2024-2025. A sample of 40 fourth-grade girl students was convenience sampling and was randomly assigned to two experimental groups (20 people) and a control group (20 people). Data collection tools included the Academic Motivation Questionnaire (ISM) by McInerney and Sinclair (1992) and the Learning Questionnaire by McDermott (1999). AI-based instruction in this study was implemented for the experimental group over ten 60-minute sessions using smartboards, augmented reality (AR), and virtual reality (VR). Analysis of covariance (ANCOVA) was used to analyze the data and test the hypotheses. The results indicated that the use of AI as a teaching assistant has a significant effect on the motivation and learning of elementary school students. Therefore, it is recommended that interactive AI-based educational tools be designed to provide more personalized responses to each student's needs, thereby enhancing their motivation and learning levels. | ||
| کلیدواژهها [English] | ||
| Artificial Intelligence, Teaching Assistant, Motivation, Learning, Elementary Students | ||
| مراجع | ||
|
Abdi, A., & Rostami, M. (2018). The effectiveness of teaching method based on cognitive load effects on academic progress, perceived cognitive load, and students' motivation to learn experimental science. Education and Evaluation (Educational Sciences), 10 (40), 43–67. https://sid.ir/paper/183454/fa (In Persian)
Ashrafzadeh, T., Mesrabadi, J., Yari Gholi, B., & Sheikh Alizadeh, S. (2023). The effectiveness of e-learning on academic performance: A meta-analytic approach. Technology of Education Journal (TEJ), 17 (3), 525–540. https://doi.org/10.22061/tej.2023.9550.2862 (In Persian)
Athirathan, S. (2025). The influence of academic motivation on the academic performance of senior secondary grade students (A study based on Tamil medium schools in the Colombo south education zone, in Sri Lanka). International Journal of Research and Innovation in Social Science, VIII(XII), 3748–3752. https://doi.org/10.47772/ijriss.2024.8120312
Chaudhary, J., Parmar, N., & Mehta, A. (2024). Artificial Intelligence and Expert Systems. International Journal of Advanced Research in Science, Communication and Technology, 535–546. https://doi.org/10.48175/ijarsct-15988
Dakhi O, Irfan D. Blended learning: a 21st century learning model at college. Int J Multi Sci. 2020;1(08):50–65.
Dembitska, S., Yarovyi, R., & Duk, J. (2024). The impact of AI-tutors on the motivation and learning effectiveness of students. Педагогіка Безпеки, 9(1), 43–49.https://doi.org/10.31649/2524-1079-2024-9-1-043-049
Elbadiansyah, Z. H. S., Lawal, U. S., Chansa, C. T., & Aziz, A. L. (2024). Exploring the Role of Artificial Intelligence in Enhancing Student Motivation and Cognitive Development in Higher Education. Techcomp Innovations, 1(2), 59–67. https://doi.org/10.70063/techcompinnovations.v1i2.47
Elmi, M. (2024). The effect of attention deficit hyperactivity disorder on the cognitive development of students. Strategic Research in Education, 17, 49–62. (In Persian)
Gheitasi, H., Mansouri, A., Gheitasi, Sh., Jafarzadeh, A., & Gheitasi, A. (2023). A look at learning theories. Educational Book by Postgraduates. (In Persian)
Hajipour, A., & Moradi, B. (2024). Investigating the impact of artificial intelligence-based education on the academic achievement of third-grade elementary school students in mathematics. Paper presented at the Third National Research Conference, Bandar Abbas, Iran. https://civilica.com/doc/2034713 (In Persian)
Hanifehzadeh Nodehi, F. (2023). The relationship between information technology and artificial intelligence with the academic improvement of students. Paper presented at the International Conference on Management Research, Education, and Training in Education. https://sid.ir/paper/1145662/fa (In Persian)
Hanshaw, G., Vance, J., & Brewer, C. (2024). Exploring the Effectiveness of AI Course Assistants on the Student Learning Experience. Open Praxis, 16(4). https://doi.org/10.55982/openpraxis.16.4.719
Heidar, M., Mokhtari, Z., Azizipour, S., Tehrani, M., & Tavabe Ghovami, S. (2024). The impact of artificial intelligence on student motivation and engagement. Paper presented at the First International Conference on Education with the Approach of Smart Schools, Creative Teachers, and Thoughtful Students in the Horizon of 1404, Bushehr, Iran. https://civilica.com/doc/2169368 (In Persian)
Hillis, P. (2021) Multimedia education and history. International Educational Media, V.36, N.84
Italiani, M., & Nassir Asadi, A. (2021). Analyzing the role of artificial intelligence and intelligent systems in the evolution of educational methods. Paper presented at the First National Conference on Digital Evolution and Intelligent Systems. (In Persian)
Jor, J. (2025). Impact of artificial intelligence on engagement, motivation, work efficiency, and academic outcomes. 511–515. https://doi.org/10.1201/9781003591511-79
Karimian, Z. (2024). Entrepreneurship in the digital age and its levers. Educational Technology Growth, 7 (4), 0–4. (In Persian)
Lim, DH and Kim, HJ (2019). Motivation and learner characteristics affecting online learning program, Journal of Educational Technology. 31 (4), 423-439
Liu, Q., Chen, L., Feng, X., Bai, X., & Ma, Z. (2024). Supporting students and instructors in blended learning. Handbook of Educational Reform Through Blended Learning, 199.
Maghami, H. (2025). The impact of AI-based gamified assessment on collaborative learning and learning performance of students. Technology and Research in Education, 5 (1), 81–96. https://doi.org/10.30473/t-edu.2025.74118.1263 (In Persian)
Malmir, Sh. (2024). The role of artificial intelligence in transforming the world of education. Educational Management, 2 (12), 81–87. (In Persian)
Paikari, F. (2024). Investigating the impact of using artificial intelligence as a teaching assistant on the motivation and learning of elementary school students (Master's thesis). Islamic Azad University, Science and Research Branch. (In Persian)
Rodríguez Serrano, A., Martín Núñez, M., & Catalán, S. G. (2020). Augmented Reality. https://doi.org/10.4324/9781351015431-10
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary educational psychology, 61, 101860.
Shabani, H. (2024). The effects of artificial intelligence on the learning process of students in science courses. Journal of Modern Research Approaches in Management and Accounting, 8 (28), 31–45. https://majournal.ir/index.php/ma/article/view/2399 (In Persian)
Shahraki, A. (2021). Artificial intelligence and its impact on improving teaching and learning. Paper presented at the Third International Interdisciplinary Conference on Health Sciences, Psychology, Management, and Educational Sciences. (In Persian)
Shamshird, M., Farahmand Kia, D., & Rasouli, S. A. (2024). The impact of artificial intelligence on student motivation and interaction in the learning process. Paper presented at the First National Conference on New Attitudes in Educational Issues, Ramshir, Iran. https://civilica.com/doc/2096201 (In Persian)
Sidorkin, D. (Ed.). (2022). THE USE OF SMART BOARD IN TEACHING ENGLISH. International Journal of Educational and Scientific Research, 1(14), 129–134. https://doi.org/10.31219/osf.io/qhtzg
Simoes, S. (2022).Influence of computers in students’ academic achievement, Contents lists available at ScienceDirect. Journal homepage: www.cell.com/heliyon.
Simoes, S. (2022).Influence of computers in students’ academic achievement, Contents lists available at ScienceDirect. Journal homepage: www.cell.com/heliyon.
Tabatabaei, L., & Esfahani, M. (2024). Investigating the effect of creative Farsi teaching methods with emphasis on VARK learning styles on the learning of elementary school students. Research in Educational Methods, 2 (3), 61-89. https://doi.org/10.22091/jrim.2024.11432.1108 (In Persian)
Tirado-Olivares, S. (2022). Effects of virtual reality on learning outcomes in K-6 education: A meta-analysis Rafael Villena-Taranilla. Educational Research Review journal homepage: www.elsevier.com/locate/edurev.
Virtual Reality. (2022). The International Encyclopedia of Health Communication, 1–5. https://doi.org/10.1002/9781119678816.iehc0733
Wang, P.Y. & Wang, H.F. (2013). The effects of e-book interactivity design on 4th graders’ language learning. In J. Herrington, A. Couros & V. Irvine (Eds.) , Proceedings of EdMedia 2013--World Conference on Educational Media and Technology (pp. 867-872). Victoria, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved August 6, 2025 from https://www.learntechlib.org/primary/p/112062
Wu, H. K., Lee, S. W. Y., Chang, H. Y. & Liang, J. C. (2019). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41-49.
Wu, X. (2024). A review of virtual reality technology. Applied and Computational Engineering. https://doi.org/10.54254/2755-2721/38/20230521
Yousif, J. H. (2025). Artificial Intelligence Revolution for Enhancing Modern Education Using Zone of Proximal Development Approach. Applied Computing Journal, 386-398.
Zanganeh, A., Hejazi, E., & Salehi, K. (2025). Factors affecting the acceptance of artificial intelligence technology among faculty members of the University of Tehran. Technology and Research in Education, 5 (1), 65–80. https://doi.org/10.30473/t-edu.2025.73017.1228 (In Persian)
Zelhendri, Z. (2022). Academic achievement: the effect of project-based online learning method and student engagement, Contents lists available at ScienceDirect. journal homepage: www.cell.com/heliyon | ||
|
آمار تعداد مشاهده مقاله: 199 تعداد دریافت فایل اصل مقاله: 33 |
||