AAI_2025_Capstone_Chronicles_Combined
21
References
Akiba, T., Sano, S., Yanase, T., Ohta, T., & Koyama, M. (2019). Optuna: A next-generation hyperparameter optimization framework, 2623–2631. https://doi.org/10.1145/3292500.3330701 Audras, D., Zhao, A., Isgar, C., & Tang, Y. (2022). Virtual teaching assistants: A survey of a novel teaching technology. International Journal of Chinese Education , 11 , 2212585X2211216. https://doi.org/10.1177/2212585X221121674 Binfoh Abuaa, J., Essel, H., Vlachopoulos, D., Tachie-Menson, A., & Kwame, P. (2022). The impact of a virtual teaching assistant (chatbot) on students’ learning in ghanaian higher educationthe impact of a virtual teaching assistant (chatbot) on students’ learning in ghanaian higher education’. International Journal of Educational Technology in Higher Education , 19 . https://doi.org/10.1186/s41239-022-00362-6 Feng, Z., Lin, L., Wang, L., Cheng, H., & Wong, K.-F. (2024, November). LLMEdgeRefine: Enhancing text clustering with LLM-based boundary point refinement. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), Proceedings of the 2024 conference on empirical methods in natural language processing (pp. 18455–18462). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.1025 Inoferio, H., Espartero, M., Asiri, M., Damin, M., & Chavez, J. (2024). Coping with math anxiety and lack of confidence through ai-assisted learning. Environment and Social Psychology , 9 . https://doi.org/10.54517/esp.v9i5.2228 Le Quy, T., Friege, G., & Ntoutsi, E. (2023). A review of clustering models in educational data science toward fairness-aware learning. In Educational data science: Essentials, approaches, and tendencies (pp. 43–94). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-0026-8_2 Lee, J., Chen, F., Dua, S., Cer, D., Shanbhogue, M., Naim, I., Ábrego, G. H., Li, Z., Chen, K., Vera, H. S., Ren, X., Zhang, S., Salz, D., Boratko, M., Han, J., Chen, B., Huang, S.,
245
Made with FlippingBook - Share PDF online