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Tohsaku, Y., Nazikian, F., & Park, A. (2021). Social Networking Approach to Japanese Language Teaching. Routledge.Search in Google Scholar
Durbidge, L., & McClelland, G. (2023). Japanese language learning and teaching during COVID-19: Challenges and opportunities. Japanese Studies, 43(3), 237-250.Search in Google Scholar
Kuo, T. H. (2020). The current situation of AI foreign language education and its influence on college Japanese teaching. In Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity: 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II 22 (pp. 315-324). Springer International Publishing.Search in Google Scholar
Sarja, A., Nyman, T., Ito, H., & Jaatinen, R. (2017). The foreign language teaching profession in Finnish and Japanese society: A sociocultural comparison. Pedagogy, Culture & Society, 25(2), 225-241.Search in Google Scholar
Firmansyah, D. B., Rahmawati, R. S., & Tanzil, A. Q. (2018). Instructional media development for teaching Japanese language. Journal of Education Research and Evaluation, 2(2), 89-98.Search in Google Scholar
Furuta, Y., Sato, T., Miller, R. T., Kataoka, C., & Tomura, T. (2022). Public elementary school teachers’ positioning in teaching physical education to Japanese language learners. European Physical Education Review, 28(4), 1006-1024.Search in Google Scholar
Mazur, M., Rzepka, R., & Araki, K. (2018). Teaching words in context: Code-switching method for English and Japanese vocabulary acquisition systems. In Human Language Technology. Challenges for Computer Science and Linguistics: 7th Language and Technology Conference, LTC 2015, Poznań, Poland, November 27-29, 2015, Revised Selected Papers 8 (pp. 332-345). Springer International Publishing.Search in Google Scholar
Shan, Y. (2021, September). Application on Mind Map in Japanese Vocabulary Teaching. In 2021 4th International Conference on Information Systems and Computer Aided Education (pp. 2699-2703).Search in Google Scholar
Zhang, X., Du, L., & Zhu, X. (2022). Effects of the continuation task and the RCC task on Japanese as a foreign language vocabulary learning. Applied Linguistics, 43(4), 725-745.Search in Google Scholar
Pizziconi, B. (2017). Japanese vocabulary development in and beyond study abroad: The timing of the year abroad in a language degree curriculum. The Language Learning Journal, 45(2), 133-152.Search in Google Scholar
Rakian, S. (2020, October). Implementation of Word Square Learning Model in Vocabulary Learning (adjectives and nouns) Japanese Language in 11th Grade Students at YADIKA High School, Langowan District. In Journal of International Conference Proceedings (Vol. 3, No. 2, pp. 111-120).Search in Google Scholar
Ueno, S., & Takeuchi, O. (2022). Self-regulated vocabulary learning in a Japanese high school EFL environment: A structural equation modeling approach. JACET Journal, 66, 97-111.Search in Google Scholar
Abdullah, M. A. R., & Hussin, S. (2019). The impact of animated karaoke on vocabulary acquisition among Japanese language learners in Malaysian universities. Indonesian Journal of EFL and Linguistics, 4(1), 2527-5070.Search in Google Scholar
Li Jiayi,Zhang Jianhua,Li Kexiang,Cao Jian & Li Hui. (2024). A multimodal framework based on deep belief network for human locomotion intent prediction. Biomedical Engineering Letters(3),559-569.Search in Google Scholar
Hankiz Yilahun & Askar Hamdulla. (2023). Entity extraction based on the combination of information entropy and TF-IDF. International Journal of Reasoning-based Intelligent Systems(1),71-78.Search in Google Scholar
Callistus Ireneous Nakpih. (2024). A modified Vector Space Model for semantic information retrieval. Natural Language Processing Journal100081-100081.Search in Google Scholar
Jiacang Ho,Kyongseok Park & Dae Ki Kang. (2024). GLNAS: Greedy Layer-wise Network Architecture Search for low cost and fast network generation. Pattern Recognition110730-110730.Search in Google Scholar
Kālis Mārtiņš,Locāns Andris,Šikovs Rolands,Naseri Hassan & Ambainis Andris. (2023). A hybrid quantum-classical approach for inference on restricted Boltzmann machines. Quantum Machine Intelligence(2).Search in Google Scholar