ISSN: 2222-6990
Open access
This study investigates the integration of Artificial Intelligence (AI) in differentiated instruction classrooms. The research aims to determine teachers' perceptions of AI integration in teaching and evaluate its use in differentiated instruction classrooms. A quantitative methodology was implemented, involving a survey of 30 primary school teachers in Kuala Lumpur. The results reveal that teachers are generally confident in using AI-based tools, but they express a need for further training to fully understand the range of AI tools available. Teachers acknowledge the benefits of AI in enhancing student engagement and personalizing learning. However, they exhibit a need for more support in implementing differentiated instruction strategies and leading their colleagues in the integration of AI tools. The study concludes that AI tools have potential to enhance teaching and learning outcomes, but there is a need for continuous support and training for teachers. These findings have significant implications for educational practice and policy. Future research is suggested to dig deeper into the factors influencing teachers' perceptions of AI in teaching, the impact of AI integration on student outcomes, and the role of school leadership in supporting AI integration. This study provides valuable understanding into the potential of AI in education and the need for ongoing teacher support and training.
Akram, H., Abdelrady, A. H., Al-Adwan, A. S., & Ramzan, M. (2022). Teachers’ Perceptions of Technology Integration in Teaching-Learning Practices: A Systematic Review. Frontiers in Psychology, 13.
An, X., Chai, C. S., Li, Y., Zhou, Y., Shen, X., Zheng, C., & Chen, M. (2023). Modeling English teachers’ behavioral intention to use artificial intelligence in middle schools. Education and Information Technologies, 28(5), 5187-5208.
Bagir, M., Onal-Karakoyun, G., & Asilturk, E. (2022). Views of science teachers on the use of artificial intelligence in education, International Online Journal of Educational Sciences, 14(5), 1223-1234.
Barrett, A., & Pack, A. (2023). Not quite eye to A.I.: student and teacher perspectives on the use of generative artificial intelligence in the writing process. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-023-00427-0
Bidari, S. (2021). Nepalese EFL Teachers’ Perception and Practices of Differentiated Instruction. The European Conference on Education 2021 Official Conference Proceedings.
Brianza, E., Schmid, M., Tondeur, J., & Petko, D. (2022). Situating TPACK: A Systematic Literature Review of Context as A Domain of Knowledge. Contemporary Issues in Technology and Teacher Education, 22(4), 707-753.
Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Journal of Artificial Intelligence in Education, 1(1), 1-20. Doi: https://doi.org/10.1016/j.chb.2022.107468
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The Promises and Challenges of Artificial Intelligence for Teachers: a Systematic Review of Research. TechTrends: Linking Research and Practice to Improve Learning, 66(4), 616-630.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264-75277.
Cheng, M-M., Chuang, H-H., & Smith, T. J. (2022). The Role of Teacher Technology Experiences and School Technology Interactivity in Teachers’ Culturally Responsive Teaching. Computers in the Schools. https://doi.org/10.1080/07380569.2022.2071231
Chichekian, T., & Benteux, B. (2022). The potential of learning with (and not from) artificial intelligence in education. Frontiers in Artificial Intelligence, 5. Doi: https://doi.org/10.3389/frai.2022.903051
Çoklar, A. N., & Özbek, A. (2017). Analyzing Of Relationship Between Teachers’ Individual Innovativeness Levels and Their TPACK Self-Efficacies. Journal of Human Sciences, 14(1), 427-440
Dosed?l, T., Kafková, M. P., & Vidovi?ová, L. (2023). Age and Gender Difference in ICT Literacy and Biometrics Knowledge. Sociální studia / Social Studies, 20(1), 47-64.
Essel, H. B., Vlachopoulos, D., Tachie Menson, A., Johnson, E. E., & Baah, P. K. (2022). The impact of a virtual teaching assistant (chatbot) on students’ learning in Ghanaian higher education. Journal of Artificial Intelligence in Education, 1(1), 1-20.
Gnambs, T. (2021). The development of gender differences in information and communication technology (ICT) literacy in middle adolescence. Computers in Human Behavior, 114, Article 106533. https://doi:10.1016/j.chb.2020.1065331
Gromik, N., Litz, D., & Liu, B. (2024). Technology, Pedagogy, and Content Knowledge: An Australian Case Study. Education Sciences, 14(1), 37.
Ismail, Mohd & Abdul Aziz, Azlina. (2019). TS25 School Teachers’ Perceptions of Differentiated Learning in Diverse ESL Classrooms. Journal of Education and Social Sciences, 13(1) 95-107.
Johler, M., & Krumsvik, R. J. (2022). Increasing inclusion through differentiated instruction in a technology-rich primary school classroom in Norway. Education 3-13 International Journal of Primary, Elementary and Early Years Education.
Juhaevah, F., & Kaliky, S. (2023). Implementation of TPACK in Microteaching of Mathematics Education Students Based on Online Learning Platforms. JTAM (Jurnal Teori dan Aplikasi Matematika), 7(2), 498-508.
Kennedy, I., & Cronjé, J. (2023). The Dynamics of Access to ICT and Technology Practices of Secondary School Teachers. Electronic Journal of e-Learning, 21(3). https://doi.org/10.34190/ejel.21.3.2999
Kim, J. (2023). Leading teachers’ perspective on teacher-AI collaboration in education. Education and Information Technologies.
Kim, N. J., & Kim, M. K. (2023). Teacher’s Perceptions of Using an Artificial Intelligence-Based Educational Tool for Scientific Writing. Journal of Artificial Intelligence in Education, 1(1), 1-20.
Krishan, I. Q., & Al-rsa’i, M. S. (2023). The effect of technology-oriented differentiated instruction on motivation to learn science. International Journal of Instruction, 16(1), 961-982. https://doi.org/10.29333/iji.2023.16153a
Lai, T., Xie, C., Ruan, M., Wang, Z., Lu, H., & Fu, S. (2023). Influence of artificial intelligence in education on adolescents’ social adaptability: The mediatory role of social support. PLOS ONE.
Marzuki, Utami Widiati, Diyenti Rusdin, Darwin, & Inda Indrawati. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2).
Mishra, P. (2019). Considering contextual knowledge: The TPACK Diagram Gets an Upgrade. Journal of Digital Learning in Teacher Education, 35(2), 76-78
Nayman, H., & Altun, S. (2022). Differentiated instruction: A study on teachers’ experiences and opinions, International Online Journal of Educational Sciences, 14(2), 374-386.
Park, J., Teo, T. W., Teo, A., Chang, J., Huang, J. S., & Koo, S. (2023). Integrating artificial intelligence into science lessons: teachers’ experiences and views. International Journal of STEM Education, 10(61).
Peng, R., Abdul Razak, R., & Hajar Halili, S. (2023). Factors influencing in-service teachers’ technology integration model: Innovative strategies for educational technology. PLoS ONE, 18(8), e0286112.
Pozas, M., Letzel, V., Lindner, K.-T., & Schwab, S. (2021). DI (Differentiated Instruction) Does Matter! The Effects of DI on Secondary School Students’ Well-Being, Social Inclusion and Academic Self-Concept. Frontiers in Education 6(5).
Razak, N. A., Alakrash, H., & Sahboun, Y. (2018). English Language Teachers’ Readiness for the Application of Technology Towards Fourth Industrial Revolution Demands. Asia-Pacific Journal of Information Technology and Multimedia, 7(2-2), 89-98.
https://doi.org/10.17576/apjitm-2018-0702(02)-08
Sangapu, I. (2019). Artificial Intelligence in Education - From a Teacher and a Student Perspective. Education and Information Technologies, 23(5), 2053-2072. https://doi.org/10.1007/s10639-018-9770-6
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 181. https://doi.org/10.1186/s41239-021-00292-9
Shareefa, M. (2023). Demystifying the impact of teachers’ qualification and experience on implementation of differentiated instruction. International Journal of Instruction, 16(1), 393-416. https://doi.org/10.29333/iji.2023.16122a
Smets, W., De Neve, D., & Struyven, K. (2022). Responding to students’ learning needs: how secondary education teachers learn to implement differentiated instruction. Educational Action Research, 30(2), 243-260.
https://doi.org/10.1080/09650792.2020.1848604
Sulistianingrum, E., Fauziati, E., Rohmah, W., & Muhibbin, A. (2023). Differentiated Learning: The Implementation of Student Sensory Learning Styles in Creating Differentiated Content. Jurnal Paedagogy 10(2), 308-319. https://doi.org/10.33394/jp.v10i2.7030
Tondeur, J. (2018). Enhancing Future Teachers’ Competencies for Technology Integration in Education: Turning Theory into Practice. Seminar.net, 14(2), 216-224
Van Geel, M., Keuning, T., Frèrejean, J., Dolmans, D., Van Merriënboer, J., & Visscher, A. J. (2019). Capturing the complexity of differentiated instruction. School Effectiveness and School Improvement, 30(1), 51–67
Zakarneh, B., Al-Ramahi, N., & Mahmoud, M. (2020). Challenges of Teaching English Language Classes of Slow and Fast Learners in the United Arab Emirates Universities. International Journal of Higher Education, 9(1), 256. https://doi:10.5430/ijhe.v9n1p256
Zhang, C., Schießl, J., Plößl, L., Hofmann, F., & Gläser-Zikuda, M. (2023). Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis. International Journal of Educational Technology in Higher Education.
https://doi.org/10.1186/s41239-023-00420-7
Zhang, W., & Tang, J. H. (2021). Teachers’ TPACK Development: A Review of Literature. Open Journal of Social Sciences, 9, 367-380.
Ruslim, M. I., & Khalid, F. (2024). The Use of Artificial Intelligence in Differentiated Instruction Classrooms. International Journal of Academic Research in Business and Social Sciences, 14(8), 680–695.
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