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Songbatumis, A. M. (2017). Challenges in teaching English faced by English teachers at MTsN Taliwang, Indonesia. Journal of foreign language teaching and learning, 2(2), 54-67.Search in Google Scholar
Soler Pardo, B. (2020). Subtitling and dubbing as teaching resources for learning English as a foreign language using ClipFlair software. Lenguaje y textos, (51), 41-56.Search in Google Scholar
Channa, L. A., Manan, S. A., & David, M. K. (2021). Global aspirations versus local resources: planning a sustainable English teaching policy in Pakistan. Asian Englishes, 23(3), 294-312.Search in Google Scholar
Fitria, T. N. (2020). Teaching English for Specific Purposes (ESP) to the Students in English Language Teaching (ELT). Journal of English Teaching Adi Buana, 5(01).Search in Google Scholar
Alkamel, M. A. A., & Chouthaiwale, S. S. (2018). The use of ICT tools in English language teaching and learning: A literature review. Veda’s journal of english language and literature-JOELL, 5(2), 29-33.Search in Google Scholar
Forey, G., & Polias, J. (2017). Multi-semiotic resources providing maximal input in teaching science through English. Applied linguistics perspectives on CLIL, 145-164.Search in Google Scholar
Kostenko, O., Frolova, O., Barsuk, S., Shostak, U., & Bondar, N. (2021). Influence of digital educational resources on didactic possibilities for the educational process (on the example of English language). Revista EntreLinguas, e021112-e021112.Search in Google Scholar
Maghsudi, S., Lan, A., Xu, J., & van Der Schaar, M. (2021). Personalized education in the artificial intelligence era: what to expect next. IEEE Signal Processing Magazine, 38(3), 37-50.Search in Google Scholar
Kokku, R., Sundararajan, S., Dey, P., Sindhgatta, R., Nitta, S., & Sengupta, B. (2018, April). Augmenting classrooms with AI for personalized education. In 2018 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 6976-6980). IEEE.Search in Google Scholar
Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068.Search in Google Scholar
Dishon, G. (2017). New data, old tensions: Big data, personalized learning, and the challenges of progressive education. Theory and Research in Education, 15(3), 272-289.Search in Google Scholar
Boninger, F., Molnar, A., & Saldaña, C. M. (2019). Personalized Learning and the Digital Privatization of Curriculum and Teaching. National Education Policy Center.Search in Google Scholar
Boninger, F., Molnar, A., & Saldaña, C. (2020). Big Claims, Little Evidence, Lots of Money: The Reality behind the Summit Learning Program and the Push to Adopt Digital Personalized Learning Programs. Commercialism in Education Research Unit.Search in Google Scholar
Pratama, M. P., Sampelolo, R., & Lura, H. (2023). Revolutionizing education: harnessing the power of artificial intelligence for personalized learning. Klasikal: Journal of Education, Language Teaching and Science, 5(2), 350-357.Search in Google Scholar
Fang, C., & Lu, Q. (2021). Personalized Recommendation Model of High-Quality Education Resources for College Students Based on Data Mining. Complexity, 2021, 1-11.Search in Google Scholar
Yang, Z., & Feng, B. (2021). Design of key data integration system for interactive English teaching based on internet of things. International Journal of Continuing Engineering Education and Life Long Learning, 31(1), 53-68.Search in Google Scholar
Dinc, E. (2019). Prospective teachers’ perceptions of barriers to technology integration in education. Contemporary educational technology, 10(4), 381-398.Search in Google Scholar
Karunanayaka, S. P., & Naidu, S. (2020). Designing capacity building of educators in open educational resources integration leads to transformational change. In Expanding Horizons in Open and Distance Learning (pp. 87-109). Routledge.Search in Google Scholar
Cronin, C. (2017). Openness and praxis: Exploring the use of open educational practices in higher education. International Review of Research in Open and Distributed Learning, 18(5), 15-34.Search in Google Scholar
Richards, J. C. (2017). Teaching English through English: Proficiency, pedagogy and performance. RELC Journal, 48(1), 7-30.Search in Google Scholar
Dafouz, E. (2018). English-medium instruction and teacher education programmes in higher education: Ideological forces and imagined identities at work. International Journal of Bilingual Education and Bilingualism, 21(5), 540-552.Search in Google Scholar
Vainshtein, I. V., Shershneva, V. A., Esin, R. V., & Noskov, M. V. (2019). Individualisation of education in terms of e-learning: experience and prospects. Journal of Siberian Federal University. Humanities & Social Sciences, 9(12), 1753-1770.Search in Google Scholar
Tarus, J. K., Niu, Z., & Mustafa, G. (2018). Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning. Artificial intelligence review, 50, 21-48.Search in Google Scholar
Cui, Z., Xu, X., Fei, X. U. E., Cai, X., Cao, Y., Zhang, W., & Chen, J. (2020). Personalized recommendation system based on collaborative filtering for IoT scenarios. IEEE Transactions on Services Computing, 13(4), 685-695.Search in Google Scholar
Zhang, S., Yao, L., Sun, A., & Tay, Y. (2019). Deep learning based recommender system: A survey and new perspectives. ACM computing surveys (CSUR), 52(1), 1-38.Search in Google Scholar
Gao, L. X., & Zhang, L. J. (2020). Teacher learning in difficult times: Examining foreign language teachers’ cognitions about online teaching to tide over COVID-19. Frontiers in psychology, 11, 549653.Search in Google Scholar
Paulo Roberto de Souza & Frederico Araújo Durão.(2024).Exploiting social capital for improving personalized recommendations in online social networks.Expert Systems With Applications123098-.Search in Google Scholar
V. Prithvi Ram,Rajeshwari S.B. & Jagadish S. Kalliman.(2019).Smart Yield Accuracy Prediction using Linear Regression and Collaborative Filtration.International Journal of Recent Technology and Engineering (IJRTE)(3),664-670.Search in Google Scholar
Xiaohua Lu,Liangxu Xie,Lei Xu,Rongzhi Mao,Xiaojun Xu & Shan Chang.(2024).Multimodal fused deep learning for drug property prediction: Integrating chemical language and molecular graph.Computational and Structural Biotechnology Journal1666-1679.Search in Google Scholar