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Frydland, N. (2017). Implementing the mutually adaptive learning paradigm: Applications for literacy-level through academic ESL. College ESL Quarterly, 1, 6.Search in Google Scholar
Rizvi, S., Rienties, B., Rogaten, J., & Kizilcec, R. (2022). Culturally adaptive learning design. Open World Learning, 103(1), 39-43.Search in Google Scholar
El-Sabagh, H. A. (2021). Adaptive e-learning environment based on learning styles and its impact on development students’ engagement. International Journal of Educational Technology in Higher Education, 18(1), 53.Search in Google Scholar
Shazeer, N., & Stern, M. (2018, July). Adafactor: Adaptive learning rates with sublinear memory cost. In International Conference on Machine Learning (pp. 4596-4604). PMLR.Search in Google Scholar
Salguero-Serrat, J., Sánchez, H., Naranjo, M. J., Rico, M., & Agudo, J. E. (2019, June). STVALL: HbbTV Based Adaptive System for English Learning through Interactive TV. In EdMedia+ Innovate Learning (pp. 1520-1525). Association for the Advancement of Computing in Education (AACE).Search in Google Scholar
Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135-153.Search in Google Scholar
Sottilare, R. A., & Goodwin, G. A. (2017). Adaptive instructional methods to accelerate learning and enhance learning capacity. In International Defense & Homeland Security Simulation Workshop of the I3M Conference.Search in Google Scholar
Ciloglugil, B., & Inceoglu, M. M. (2018). A learner ontology based on learning style models for adaptive e-learning. In Computational Science and Its Applications–ICCSA 2018: 18th International Conference, Melbourne, VIC, Australia, July 2-5, 2018, Proceedings, Part II 18 (pp. 199-212). Springer International Publishing.Search in Google Scholar
Du, Y., Wang, J., Feng, W., Pan, S., Qin, T., Xu, R., & Wang, C. (2021, October). Adarnn: Adaptive learning and forecasting of time series. In Proceedings of the 30th ACM international conference on information & knowledge management (pp. 402-411).Search in Google Scholar
Adnan, M., Habib, A., Ashraf, J., & Mussadiq, S. (2019). Cloud-supported machine learning system for context-aware adaptive M-learning. Turkish Journal of Electrical Engineering and Computer Sciences, 27(4), 2798-2816.Search in Google Scholar
Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3).Search in Google Scholar
Parsons, S. A., Vaughn, M., Scales, R. Q., Gallagher, M. A., Parsons, A. W., Davis, S. G., ... & Allen, M. (2018). Teachers’ instructional adaptations: A research synthesis. Review of educational research, 88(2), 205-242.Search in Google Scholar
Liang, J., Hare, R., Chang, T., Xu, F., Tang, Y., Wang, F. Y., ... & Lei, M. (2022). Student modeling and analysis in adaptive instructional systems. IEEE Access, 10, 59359-59372.Search in Google Scholar
Othmane, Z. I. N. E., DEROUICH, A., & TALBI, A. (2019). A comparative study of the Most influential learning styles used in adaptive educational environments. International Journal of Advanced Computer Science and Applications, 10(11).Search in Google Scholar
Fontaine, G., Cossette, S., Maheu-Cadotte, M. A., Mailhot, T., Deschênes, M. F., & Mathieu-Dupuis, G. (2017). Effectiveness of adaptive e-learning environments on knowledge, competence, and behavior in health professionals and students: protocol for a systematic review and meta-analysis. JMIR research protocols, 6(7), e8085.Search in Google Scholar
Alrawashdeh, G. S., Fyffe, S., Azevedo, R. F., & Castillo, N. M. (2023). Exploring the impact of personalized and adaptive learning technologies on reading literacy: A global meta-analysis. Educational Research Review, 100587.Search in Google Scholar
Vaughn, M. (2019). Adaptive teaching during reading instruction: A multi-case study. Reading Psychology, 40(1), 1-33.Search in Google Scholar
Kacetl, J., & Klímová, B. (2019). Use of smartphone applications in english language learning—A challenge for foreign language education. Education Sciences, 9(3), 179.Search in Google Scholar
Ruan, S., Jiang, L., Xu, J., Tham, B. J. K., Qiu, Z., Zhu, Y., ... & Landay, J. A. (2019, May). Quizbot: A dialogue-based adaptive learning system for factual knowledge. In Proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1-13).Search in Google Scholar
Pandarova, I., Schmidt, T., Hartig, J., Boubekki, A., Jones, R. D., & Brefeld, U. (2019). Predicting the difficulty of exercise items for dynamic difficulty adaptation in adaptive language tutoring. International Journal of Artificial Intelligence in Education, 29, 342-367.Search in Google Scholar
Hao, Y., Lee, K. S., Chen, S. T., & Sim, S. C. (2019). An evaluative study of a mobile application for middle school students struggling with English vocabulary learning. Computers in Human Behavior, 95, 208-216.Search in Google Scholar
Nagata, R., Takamura, H., & Neubig, G. (2017). Adaptive spelling error correction models for learner English. Procedia Computer Science, 112, 474-483.Search in Google Scholar