This work is licensed under the Creative Commons Attribution 4.0 International License.
Bellocchi, A. (2018). Early career science teacher experiences of social bonds and emotion management. Journal of Research in Science Teaching.Search in Google Scholar
Information, Studies, Faculty, of, Humanities, & and, et al. (2017). Development of the instructional model by integrating information literacy in the class learning and teaching processes. Education for Information, 28(2-4), 137-150.Search in Google Scholar
Liang, Y. (2019). Intelligent emotion evaluation method of classroom teaching based on expression recognition. International Journal of Emerging Technologies in Learning (iJET), 14(04).Search in Google Scholar
He, J. (2017). Research on the design and experiment of music teaching based on network technology. Boletin Tecnico/Technical Bulletin, 55(10), 101-107.Search in Google Scholar
Li, H. (2017). Study on the innovation path of music teaching mode in multimedia flipped classroom under the internet background. Revista de la Facultad de Ingenieria, 32(12), 913-919.Search in Google Scholar
Yang, L. (2020). Comprehensive evaluation of music course teaching level based on improved multi-attribute fuzzy evaluation model. International Journal of Emerging Technologies in Learning (iJET)(19).Search in Google Scholar
María Alfaro-Contreras, Valero-Mas, J. J., José M. Iesta, & Calvo-Zaragoza, J. (2023). Late multimodal fusion for image and audio music transcription. Expert Systems with Applications, 216, 119491-.Search in Google Scholar
Gong, W., Yu, Q., Sun, H., Huang, W., Cheng, P., & Gonzalez, J. (2024). Mclemcd: multimodal collaborative learning encoder for enhanced music classification from dances. Multimedia systems(1), 30.Search in Google Scholar
Li, N., Peng, Y., & Fan, J. (2023). Analysis of the application of college popular music education relying on the elite teaching optimization algorithm. Applied Artificial Intelligence.Search in Google Scholar
Song, B. (2024). Multimodal interactive classroom teaching strategies based on social network analysis. International journal of networking and virtual organisations(1), 30.Search in Google Scholar
Papadogianni, M., Altinsoy, E., & Andreopoulou, A. (2024). Multimodal exploration in elementary music classroom. Journal on multimodal user interfaces(1), 18.Search in Google Scholar
Hoyos, A. A. C., & Velasquez, J. D. (2020). Teaching analytics: current challenges and future development. Revista Iberoamericana de Tecnologias del Aprendizaje, PP(99), 1-1.Search in Google Scholar
Wang, C. H., & Lin, H. C. K. (2018). Emotional design tutoring system based on multimodal affective computing techniques. International Journal of Distance Education Technologies, 16(1), 103-117.Search in Google Scholar
Martin-Gutierrez, D., Penaloza, G. H., Belmonte-Hernandez, A., & Alvarez, F. (2020). A multimodal end-to-end deep learning architecture for music popularity prediction. IEEE Access, PP(99), 1-1.Search in Google Scholar
Roberto, M. M., Vanessa, E., Katerina, M., Antonette, S., Gloria, F. N., & Jurgen, S., et al. (2022). Moodoo the tracker: spatial classroom analytics for characterising teachers’ pedagogical approaches. International Journal of Artificial Intelligence in Education.Search in Google Scholar
Liu, M. (2021). Research on music teaching and creation based on deep learning. Mobile information systems.Search in Google Scholar
Ma, X. (2021). Analysis on the application of multimedia-assisted music teaching based on ai technology. Advances in multimedia(Pt.1), 2021.Search in Google Scholar
Tong, G. (2022). Multimodal music emotion recognition method based on the combination of knowledge distillation and transfer learning. Scientific Programming.Search in Google Scholar
Boulal Hossam,Hamidi Mohamed,Abarkan Mustapha & Barkani Jamal.(2024).Amazigh CNN speech recognition system based on Mel spectrogram feature extraction method.International Journal of Speech Technology(1),287-296.Search in Google Scholar
Vikas Khullar,Isha Kansal,Jyoti Verma,Rajeev Kumar,Karuna Salgotra & Gurpreet Singh Saini.(2024). Deep trained features extraction and dense layer classification of sensitive and normal documents for robotic vision-based segregation.Paladyn(1),Search in Google Scholar
Chen Zhi,Zou Beiji,Dai Yulan,Zhu Chengzhang,Kong Guilan & Zhang Wensheng.(2023).Medical visual question answering with symmetric interaction attention and cross-modal gating.Biomedical Signal Processing and ControlSearch in Google Scholar
Lianghong Wu,Yujie Zou,Cili Zuo,Liang Chen,Bowen Zhou & Hongqiang Zhang.(2024).A lightweight white blood cells detection network based on CenterNet and feature fusion modules.Measurement Science and Technology(7).Search in Google Scholar