مرور نظام‌مند چالش‌های کاربست هوش مصنوعی در تدریس و یادگیری در سطح آموزش عالی

پورمحمدباقر اصفهانی، لطیفه و صفرآبادی، نجمیه سادات. (1401). مروری بر کاربرد سیستم‌های متاورس در آموزش. فناوری‌های آموزشی در یادگیری، 5(18)، 71-96. https://doi.org/10.22054/jti.2023.72479.1373

محمدی، مهدی، ناصری جهرمی، رضا، اثنی عشری، انیسه، کوثری، مهید، خادمی، سولماز، شادی، صدیقه، نورانی زاده، حدیث. (1402). مروری ارزیابانه بر کاربرد هوش مصنوعی در آموزش عمومی. فناوری‌های آموزشی در یادگیری، 6(22)، 84-119. https://doi.org/10.22054/jti.2024.75540.1394

Pourmohammadbagher Esfahani, L., & Safarabadi, N. S. (1401/2022). A review of the applications of metaverse systems in education. Educational Technologies in Learning, 5(18), 71-96. https://doi.org/10.22054/jti.2023.72479.1373 [In Persian]

Mohammadi, M., Naseri Jahromi, R., Asna Ashari, A., Kowsari, M., Khademi, S., Shadi, S., & Noranizadeh, H. (1402/2023). A critical review of artificial intelligence applications in public education. Educational Technologies in Learning, 6(22), 84-119. https://doi.org/10.22054/jti.2024.75540.1394 [In Persian]

Ahmad, K., Iqbal, W., El-Hassan, A., Qadir, J., Benhaddou, D., Ayyash, M., & Al-Fuqaha, A. (2023). Data-driven artificial intelligence in education: A comprehensive review. IEEE Transactions on Learning Technologies. Advance online publication. https://doi.org/10.1109/TLT.2023.3331254

Al-Abdullatif, A. M. (2024). Modeling teachers' acceptance of generative artificial intelligence use in higher education: The role of AI literacy, intelligent TPACK, and perceived trust. Education Sciences, 14(11), 1209. https://doi.org/10.3390/educsci14111209

Bandara, W., & Senanayaka, S. (2024). Use of artificial intelligence in education: A systematic review. 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE). IEEE.

Barik, L., Barukab, O., & Ahmed, A. (2020). Employing artificial intelligence techniques for student performance evaluation and teaching strategy enrichment: An innovative approach. International Journal of Advanced and Applied Sciences, 7(11), 10-24.

Beege, M., Hug, C., & Nerb, J. (2024). AI in STEM education: The relationship between teacher perceptions and ChatGPT use. Computers in Human Behavior Reports, 16, 100494. https://doi.org/10.1016/j.chbr.2024.100494

Behera, A., Matthew, P., Keidel, A., Vangorp, P., Fang, H., & Canning, S. (2020). Associating facial expressions and upper-body gestures with learning tasks for enhancing intelligent tutoring systems. International Journal of Artificial Intelligence in Education, 30(2), 236-270. https://doi.org/10.1007/s40593-020-00200-8

Bikanga Ada, M. (2024). It helps with crap lecturers and their low effort: Investigating computer science students' perceptions of using ChatGPT for learning. Education Sciences, 14(10), 1106. https://doi.org/10.3390/educsci14101106

De Souza Zanirato Maia, J., Bueno, A. P. A., & Sato, J. R. (2023). Applications of artificial intelligence models in educational analytics and decision making: A systematic review. World, 4(2), 288-313. https://doi.org/10.3390/world4020019

Deng, L. (2018). Artificial intelligence in the rising wave of deep learning: The historical path and future outlook [Perspectives]. IEEE Signal Processing Magazine, 35(1), 180-177. https://doi.org/10.1109/MSP.2017.2762725

Estrellado, C. J., & Miranda, J. C. (2023). Artificial intelligence in the Philippine educational context: Circumspection and future inquiries. International Journal of Scientific and Research Publications, 13(5), 1-10.

Fang, Y., Lippert, A., Cai, Z., Chen, S., Frijters, J. C., Greenberg, D., & Graesser, A. C. (2022). Patterns of adults with low literacy skills interacting with an intelligent tutoring system. International Journal of Artificial Intelligence in Education, 32(3), 685-710. https://doi.org/10.1007/s40593-021-00267-x

Fischer, F., Hmelo-Silver, C. E., Goldman, S. R., & Reimann, P. (2018). International handbook of the learning sciences. Routledge.

Gawlik-Kobylińska, M. (2024). Harnessing artificial intelligence for enhanced scientific collaboration: Insights from students and educational implications. Education Sciences, 14(10), 1132. https://doi.org/10.3390/educsci14101132

Haq, I. U., Anwar, A., Basharat, I., & Sultan, K. (2020). Intelligent tutoring supported collaborative learning (ITSCL): A hybrid framework. International Journal of Advanced Computer Science and Applications, 11(8), 1-10.

Huang, T., Geng, J., Yang, H., Hu, S., Chen, Y., & Zhang, J. (2024). Long short-term attentional neuro-cognitive diagnostic model for skill growth assessment in intelligent tutoring systems. Expert Systems with Applications, 238, 122048. https://doi.org/10.1016/j.eswa.2023.122048

Humburg, M., Dragnić-Cindrić, D., Hmelo-Silver, C. E., Glazewski, K., Lester, J. C., & Danish, J. A. (2024). Integrating youth perspectives into the design of AI-supported collaborative learning environments. Education Sciences, 14(11), 1197. https://doi.org/10.3390/educsci14111197

Kochmar, E., Vu, D. D., Belfer, R., Gupta, V., Serban, I. V., & Pineau, J. (2022). Automated data-driven generation of personalized pedagogical interventions in intelligent tutoring systems. International Journal of Artificial Intelligence in Education, 32(2), 323-349. https://doi.org/10.1007/s40593-021-00267-x

Kubsch, M., Czinczel, B., Lossjew, J., Wyrwich, T., Bednorz, D., Bernholt, S., Fiedler, D., Strauß, S., Cress, U., & Drachsler, H. (2022). Toward learning progression analytics—Developing learning environments for the automated analysis of learning using evidence centered design. Frontiers in Education, 7, 981910. https://doi.org/10.3389/feduc.2022.981910

Labadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI chatbots in education: Systematic literature review. International Journal of Educational Technology in Higher Education, 20(1), 56. https://doi.org/10.1186/s41239-023-00426-1

Lai, Z., Wang, L., & Ling, Q. (2021). Recurrent knowledge tracing machine based on the knowledge state of students. Expert Systems, 38(8), e12782. https://doi.org/10.1111/exsy.12782

Leiter, C., Zhang, R., Chen, Y., Belouadi, J., Larionov, D., Fresen, V., & Eger, S. (2024). ChatGPT: A meta-analysis after 2.5 months. Machine Learning with Applications, 16, 100541. https://doi.org/10.1016/j.mlwa.2024.100541

Li, B., Lowell, V. L., Wang, C., & Li, X. (2024). A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT's use in language learning and teaching. Computers and Education: Artificial Intelligence, 6, 100266. https://doi.org/10.1016/j.caeai.2024.100266

Li, Z., Shi, L., Wang, J., Cristea, A. I., & Zhou, Y. (2023). Sim-GAIL: A generative adversarial imitation learning approach of student modelling for intelligent tutoring systems. Neural Computing and Applications, 35(34), 24369-24388. https://doi.org/10.1007/s00521-023-08922-1

Looi, C.-K. (2005). Artificial intelligence in education: Supporting learning through intelligent and socially informed technology (Vol. 125). IOS Press.

Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education. Pearson.

Maniktala, M., Cody, C., Barnes, T., & Chi, M. (2020). Avoiding help avoidance: Using interface design changes to promote unsolicited hint usage in an intelligent tutor. International Journal of Artificial Intelligence in Education, 30(4), 637-667. https://doi.org/10.1007/s40593-020-00211-5

Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International. Advance online publication. https://doi.org/10.1080/14703297.2023.2195846

Nayak, A., & Dutta, K. (2017). Impacts of machine learning and artificial intelligence on mankind. International Conference on Intelligent Computing and Control (I2C2), 1-6. IEEE.

Nazir, A., & Wang, Z. (2023). A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges. Meta-Radiology, 1(1), 100022. https://doi.org/10.1016/j.metrad.2023.100022

Nikolic, S., Sandison, C., Haque, R., Daniel, S., Grundy, S., Belkina, M., Neal, P., & Goh, F. (2024). ChatGPT, Copilot, Gemini, SciSpace and Wolfram versus higher education assessments: An updated multi-institutional study of the academic integrity impacts of Generative Artificial Intelligence (GenAI) on assessment, teaching and learning in engineering. Australasian Journal of Engineering Education. Advance online publication. https://doi.org/10.1080/22054952.2024.2331603

Ogunleye, B., Zakariyyah, K. I., Ajao, O., Olayinka, O., & Sharma, H. (2024). A systematic review of generative AI for teaching and learning practice. Education Sciences, 14(6), 636. https://doi.org/10.3390/educsci14060636

Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., & Brennan, S. E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372, n160. https://doi.org/10.1136/bmj.n160

Palombi, O. (2023). L'intelligence artificielle au service de l'enseignement de l'anatomie: Anatopass une app mobile intelligente [Artificial intelligence in the service of anatomy teaching: Anatopass an intelligent mobile app]. Bulletin de l'Académie Nationale de Médecine, 207(1), 48-51. https://doi.org/10.1016/j.banm.2022.11.008

Rebolledo-Mendez, G., Huerta-Pacheco, N. S., Baker, R. S., & du Boulay, B. (2022). Meta-affective behaviour within an intelligent tutoring system for mathematics. International Journal of Artificial Intelligence in Education, 32(1), 174-195. https://doi.org/10.1007/s40593-021-00277-9

Rizvi, M. (2023). Exploring the landscape of artificial intelligence in education: Challenges and opportunities.  5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 1-6. IEEE.

Roshanaei, M., Olivares, H., & Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(4), 123-143. https://doi.org/10.4236/jilsa.2023.154010

Sanabria-Navarro, J.-R., Silveira-Pérez, Y., Pérez-Bravo, D.-D., & de-Jesús-Cortina-Núñez, M. (2023). Incidences of artificial intelligence in contemporary education. Comunicar: Media Education Research Journal, 31(77), 93-103. https://doi.org/10.3916/C77-2023-08

Schmitz-Hübsch, A., Stasch, S.-M., Becker, R., Fuchs, S., & Wirzberger, M. (2022). Affective response categories—toward personalized reactions in affect-adaptive tutoring systems. Frontiers in Artificial Intelligence, 5, 873056. https://doi.org/10.3389/frai.2022.873056

Shahalizade, M., & Musavi, S. (2021). The perspective of e-learning in higher education: A systematized review. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 12(3), 149-161. https://doi.org/10.30476/ijvlms.2021.89746.1078

Slimi, Z., & Carballido, B. V. (2023). Navigating the ethical challenges of artificial intelligence in higher education: An analysis of seven global AI ethics policies. TEM Journal, 12(2), 1080-1088. https://doi.org/10.18421/TEM122-53

Somasundaram, M., Junaid, K. M., & Mangadu, S. (2020). Artificial intelligence (AI) enabled intelligent quality management system (IQMS) for personalized learning path. Procedia Computer Science, 172, 438-442. https://doi.org/10.1016/j.procs.2020.05.139

Su, Y., Shen, S., Zhu, L., Wu, L., Huang, Z., Cheng, Z., Liu, Q., & Wang, S. (2024). Global and local neural cognitive modeling for student performance prediction. Expert Systems with Applications, 237, 121637. https://doi.org/10.1016/j.eswa.2023.121637

Sun, S., Wu, X., & Xu, T. (2023). A theoretical framework for a mathematical cognitive model for adaptive learning systems. Behavioral Sciences, 13(5), 406. https://doi.org/10.3390/bs13050406

Tayan, O., Hassan, A., Khankan, K., & Askool, S. (2023). Considerations for adapting higher education technology courses for AI large language models: A critical review of the impact of ChatGPT. Machine Learning with Applications, 12, 100513. https://doi.org/10.1016/j.mlwa.2023.100513

Torres, N. (2022). Recommender systems for education: A case of study using formative assessments. 41st International Conference of the Chilean Computer Science Society (SCCC), 1-8. IEEE.

Tzeng, J.-W., Huang, N.-F., Chen, Y.-H., Huang, T.-W., & Su, Y.-S. (2024). Personal learning material recommendation system for MOOCs based on the LSTM neural network. Educational Technology & Society, 27(2), 25-42. https://doi.org/10.30191/ETS.202404_27(2).0003

Wang, Z., Yan, W., Zeng, C., Tian, Y., & Dong, S. (2023). A unified interpretable intelligent learning diagnosis framework for learning performance prediction in intelligent tutoring systems. International Journal of Intelligent Systems, 2023, 4468025. https://doi.org/10.1155/2023/4468025

Wu, J.-Y., Hsiao, Y.-C., & Nian, M.-W. (2020). Using supervised machine learning on large-scale online forums to classify course-related Facebook messages in predicting learning achievement within the personal learning environment. Interactive Learning Environments, 28(1), 65-80. https://doi.org/10.1080/10494820.2019.1636078

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(1), 59. https://doi.org/10.1186/s40594-022-00377-5

Yu, H. (2024). The application and challenges of ChatGPT in educational transformation: New demands for teachers' roles. Heliyon, 10(2), e24289. https://doi.org/10.1016/j.heliyon.2024.e24289

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

Zarei, M., Mamaghani, H. E., Abbasi, A., & Hosseini, M. S. (2024). Application of artificial intelligence in medical education: A review of benefits, challenges, and solutions. Medicina Clínica Práctica, 7(2), 100422. https://doi.org/10.1016/j.mcpsp.2024.100422