Digital Transformation in Education: Multidimensional Effects of Artificial Intelligence Supported Learning Management Systems

Year 2024, Volume: 11 Issue: 5, 102 - 124, 12.09.2024

Cansu Şahin Kölemen

https://doi.org/10.17275/per.24.66.11.5

Abstract

The aim of this study is digital transformation in education: multidimensional effects of artificial intelligence supported learning management systems. The impact of artificial intelligence applications in education has been examined through four basic dimensions. These are (1) student performance, (2) teacher adaptation, (3) educational materials and methods, and (4) measurement and evaluation. Among the qualitative research methods, the phenomenological approach was preferred. The phenomenon of this study is the use of artificial intelligence applications in education in the context of digital transformation. This phenomenon covers especially the integration of artificial intelligence supported learning management systems (LMS) into educational processes and the effects of this integration on digital transformation. The study group consists of students, teachers, administrators and educational technology experts at a private school using an artificial intelligence-based learning platform. To examine the impact of digital transformation in education, detailed data was collected by collecting data from different target audiences. The data obtained through observations and interviews were presented by content analysis. As a result of the study, systemically supportive reflections on students' academic performance, supportive reflections and negative reflections in terms of the learning process; reflections on the learning process regarding teacher adaptation and adaptation in the transformation process in education; In terms of teachers and students regarding the impact of educational materials and teaching methods; Regarding the measurement and evaluation processes, themes of reflections on the measurement and evaluation processes were created.

Keywords

Artificial intelligence application, digital transformation, educational technologies

Ethical Statement

Yazar denekler kullanılarak yapılan araştırmaların etik olarak yürütülmesi için gerekli olan Etik Beyanların varlığını beyan etmekteyim. a) Çıkar çatışması yoktur. b) İnsan katılımcıları ve/veya hayvanları içeren araştırmalar:Bu çalışma, yazarlardan herhangi birinin insan katılımcılarla veya hayvanlarla yaptığı herhangi bir çalışmayı içermemektedir. Bu makale, yazarlardan herhangi birinin hayvanları içeren herhangi bir çalışmasını içermemektedir. c) Çalışmaya katılan tüm bireysel katılımcılardan bilgilendirilmiş onam alınmıştır.

Supporting Institution

Beykoz Üniversitesi

References

• Adablanu, S. (2023). Adaptive learning in higher education: The role of artificial intelligence. Journal of Educational Technology, 45(2), 123-135.
• Akdeniz, C., & Özdinç, F. (2021). Recent trends in artificial intelligence studies in education. Journal of Education and Learning, 10(4), 85-98.
• Aljaloud, A., Ghuloum, H., Sahawneh, M., & Ghuloum, B. (2022). Leveraging advanced algorithms and large amounts of data in artificial intelligence. Journal of Computer Science and Technology, 18(3), 150-167.
• Alpaydın, E. (2013). Introduction to machine learning (3rd ed.). MIT Press.
• Anuyahong, B., Rattanapong, P., & Patcha, C. (2023). Objective evaluation in AI-supported learning systems. International Journal of Educational Assessment, 39(3), 241-258.
• Arslan, A. (2020). High-level cognitive skills in artificial intelligence. Cognitive Science Journal, 15(1), 45-60.
• Aşık, O., Bayram, E., Demir, K., & Yılmaz, B. (2023). Impact of AI on teacher workload and adaptation. Journal of Artificial Intelligence in Education, 27(1), 98-115.
• Aydın, Ö., & Değirmenci, E. (2018). The artificial reintroduction of individual competencies through artificial intelligence. Journal of Artificial Intelligence Research, 27(2), 110-125.
• Baltacı, A. (2018). Sampling methods in qualitative research. Journal of Social Sciences, 5(2), 48-57.
• Boydak, M. (2015). Uniform learning-teaching methods in schools. Education and Science Journal, 40(5), 215-230.
• Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
• Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
• Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
• Dashty, Z., Ismil, Z., Jamil, R., Nadire, C., & Cavus, N. (2023). Enhancing student learning speed with AI tools. Computers & Education, 76(4), 451-469.
• Dong, L. (2023). The impact of AI-supported learning management systems on academic performance. International Journal of Educational Technology, 13(1), 90-112.
• Erdurmuş, E. (2023). Benefits of artificial intelligence in education. Journal of Educational Research, 45(3), 223-240.
• Forrester, M. A., & Sullivan, C. (2018). Doing qualitative research in psychology: A practical guide (2nd ed.). SAGE Publications.
• Frank, E., Roehrig, J., & Pring, S. (2019). Achieving set goals with artificial intelligence. Journal of Computer Engineering, 32(2), 99-115.
• Gao, Y., & Wang, H. (2023). Tasks performed by artificial intelligence. Artificial Intelligence Review, 36(4), 365-380.
• Güçlü, N. (2019). Phenomenological research approach in qualitative studies. Educational Research Review, 14(3), 23-35.
• Halagatti, S., Gadag, S., Mahantshetti, S., Hiremath, S., Tharkude, S., & Banakar, P. (2023). AI in personalized education. Journal of Learning Analytics, 8(1), 213-230.
• Harry, K. (2023). The ethical dimension of AI in education. Ethics in Artificial Intelligence Journal, 10(2), 120-134.
• Hart, C. (1998). Doing a literature review: Releasing the social science research imagination. SAGE Publications.
• Hindawi, D. (2020). Teachers' adaptation to AI technologies. International Journal of Educational Technology, 35(4), 265-278.
• Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
• Huang, R. (2023). Guidelines for integrating AI into education. Journal of Educational Technology, 14(3), 145-160.
• Jiao, X., Ouyang, F., Zhang, H., & Alavi, H. (2022). Student engagement and AI in education. Journal of Educational Research and Development, 50(2), 157-175.
• Kak, A. (2021). Intelligent machines and human-like tasks in AI. Journal of AI Research, 29(1), 77-95.
• Kaouni, M., Mouna, F., Lakrami, O., & Labouidya, O. (2023). Student-centered teaching with AI. Journal of Educational Innovation, 42(3), 342-361.
• Karkouch, A., & Mousannif, H. (2022). AI-supported learning systems and teacher adaptation. Journal of Educational Technology Systems, 51(1), 69-85.
• Karsenti, T. (2019). Dynamic and interactive teaching materials with AI. Journal of Educational Innovation, 17(4), 180-195.
• Karsenti, T., Bugmann, J., & Gros, B. (2017). Collaborative learning environments with AI. Journal of Interactive Learning, 24(2), 90-105.
• Karsenti, T., Bugmann, J., & Parent, R. (2019). AI-supported learning systems. International Journal of Artificial Intelligence in Education, 29(3), 220-235.
• Khan, S., & Bose, M. (2021). AI-supported systems in determining student needs. International Journal of AI in Education, 29(2), 129-147.
• Kharei Stewart, J., & Khare, S. (2018). Effective instructional design with AI technologies. Journal of Learning Sciences, 27(3), 345-362.
• Kış, A. (2019). The necessity of going beyond traditional teaching methods. Educational Technology Journal, 11(2), 87-99.
• Knox, J., Wang, Q., & Gallagher, M. (2019). International Journal of Artificial Intelligence in Education. International Society for Artificial Intelligence in Education.
• Martínez, M., Batanero, C., Cerero, J., & León, J. (2023). Personalized education through AI. Journal of Learning Technologies, 31(1), 45-59.
• Martínez-Comesaña, M., Rigueira-Díaz, R., Larranaga-Janeiro, M., Martínez-Torres, R., Ocarranza-Prado, P., & Kreibel, F. (2023). Objective evaluation in AI-supported education. Journal of Educational Evaluation, 37(3), 223-240.
• Meletiadou, E. (2023). Optimizing learning with AI. Journal of Educational Technology Research, 34(2), 167-184.
• Merriam, S. B. (2015). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass.
• Merriam, S. B., & Grenier, R. S. (2019). Qualitative research in practice: Examples for discussion and analysis (2nd ed.). Jossey-Bass.
• Mohseni, S., Cruz-Benito, J., Therón, R., & García-Peñalvo, F. J. (2018). Intelligent assessment in AI-supported learning management systems. Journal of Educational Data Science, 19(2), 200-215.
• Nagi, N., Salih, H., Alzubaidi, A., Shah, A., Alam, S., Shah, S., & Househ, M. (2023). Possibilities and limitations of using AI in education. Journal of Educational Research and Development, 34(1), 50-65.
• Nithiyanandam, S., Dhanasekaran, S., Kumar, R., Gobinath, G., Vijayakarthik, S., Rajkumara, S., & Muthuraman, P. (2022). Privacy concerns in AI-supported education. Computers & Security, 108, 102333.
• Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019). Positive effects of AI in education. Journal of Innovative Teaching, 15(3), 210-225.
• Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.
• Pekmez, E., Çoban, E., Kılıç, H., & Duman, M. (2024). Personalized learning and student performance. Journal of Educational Research, 38(1), 89-106.
• Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22-37.
• Prieto, P., Cruz-Benito, J., Therón, R., & García-Peñalvo, F. J. (2019). Adaptive assessments with AI. Journal of Artificial Intelligence in Education, 20(3), 310-325.
• Sağdıç, M., & Sani-Bozkurt, S. (2020). Support for individuals with special needs through AI. Journal of Inclusive Education, 18(1), 65-80.
• Sakalle, A., Tomar, D., Bhardwaj, A., & Sharma, S. (2021). AI tools and teacher workload. Journal of Teacher Education and Development, 28(3), 203-218.
• Samar, R. (2023). Utilising pedagogical advantages of AI. Journal of Educational Technology Research, 28(2), 99-115.
• Seo, H., Tang, C., Roll, I., Fels, S., & Yoon, H. (2021). Interactive learning with AI. Journal of Interactive Learning Environments, 29(2), 172-190.
• Shoka, A., Aljammaz, I., Aldossary, K., & Alghamdi, S. (2023). Creating intelligent machines in AI. Journal of Computing and Artificial Intelligence, 14(2), 123-140.
• Singh, P. (2023). Reducing teacher workload with AI systems. Journal of Educational Efficiency, 35(1), 52-70.
• Sottilare, R. A., Graesser, A., Hu, X., & Brawner, K. (Eds.). (2019). Design recommendations for intelligent tutoring systems: Volume 7: Self-improving systems. U.S. Army Research Laboratory.
• Timms, M. J. (2016). Monitoring student progress with AI. Journal of Educational Technology, 23(4), 276-289.
• Tissenbaum, M., Lane, C., Ybarra, M., & Nunez, M. (2023). The impact of AI on personalized learning. Journal of Learning Sciences, 42(2), 192-210.
• Tkachenko, S. (2023). The future of education in AI. Journal of Future Educational Studies, 19(2), 88-103.
• Wang, S. (2023). AI in personalized learning experiences. Journal of Educational Psychology, 44(1), 56-72.
• Yıldırım, A., & Şimşek, H. (2016). Qualitative research methods in social sciences (10th ed.). Seçkin Yayıncılık.
• Zeide, E. (2019). Fast and low-cost observations with AI in education. Educational Technology & Society, 22(3), 120-135.
• Zhai, X., Chu, K., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, J. M., & Li, Y. (2021). AI-supported systems in education. Journal of Educational Technology & Society, 24(3), 72-85.
• Zhai, X., Chu, S. K. W., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, J. M., & Li, Y. (2021). Efficiency and effectiveness of AI in education. Journal of Educational Computing Research, 58(3), 575-595.
• Zhang, Y. (2023). AI and adaptive learning materials. Journal of Educational Transformation, 39(2), 213-229.