With the continuous advancement of digital education, intelligent voice classroom technology has shown great potential in enhancing the quality and efficiency of interactive teaching. This study employs qualitative methods based on in-depth interviews with three experts in the field (coded as Expert A, Expert B, and Expert C) to explore the current application status, challenges, and optimisation strategies of intelligent voice classroom technology in interactive teaching at a higher normal university P in Henan Province, China. The findings reveal that intelligent voice classroom technology significantly enhances student interaction and engagement and supports personalised learning paths. However, technological limitations, uneven distribution of educational resources, and acceptance issues remain key factors restricting its widespread application and effectiveness. Based on these findings, the paper proposes a series of recommendations to optimise the application of intelligent voice classroom technology in the educational field. These include strengthening teacher training, improving technological accessibility, and ensuring equity. These recommendations are intended to promote the effective application of intelligent voice classroom technology in education, facilitating its continuous development and optimisation in interactive teaching. By integrating professional knowledge and practical experiences from different perspectives, this study provides in-depth insights into the application of intelligent voice classroom technology in interactive teaching. It proposes practical strategies for the development of educational technology. This is important for enhancing the quality of higher education and promoting technological innovation.
Badshah, A., Nasralla, M. M., Jalal, A., & Farman, H. (2023). Smart Education in Smart Cities: Challenges And Solution. 2023 IEEE International Smart Cities Conference (ISC2), 01–08. https://doi.org/10.1109/ISC257844.2023.10293615
Bai, H., & Zhang, Q. (2020). WITHDRAWN: English smart classroom teaching system based on 5G network and internet of things. Microprocessors and Microsystems, 103421. https://doi.org/10.1016/j.micpro.2020.103421
Butler, L. (2020). “HEY GOOGLE, HELP ME LEARN” Voice Assistant Devices in the New Zealand Primary School [Thesis, Open Access Te Herenga Waka-Victoria University of Wellington]. https://doi.org/10.26686/wgtn.17148497.v1
Constantinou, M., Polvara, R., & Makridis, E. (2023). THE TECHNOLOGISATION OF THEMATIC ANALYSIS: A CASE STUDY INTO AUTOMATISING QUALITATIVE RESEARCH. INTED2023 Proceedings, 1092–1098. 17th International Technology, Education and Development Conference. https://doi.org/10.21125/inted.2023.0323
Deng, T., Wang, X., Xu, Z., Zhang, L., Hei, X., & Wang, Z. (2019). The Intelligent Classroom Client Software Design. 2019 IEEE International Conference on Engineering, Technology and Education (TALE), 1–5. https://doi.org/10.1109/TALE48000.2019.9226003
Gao, J., Wan, G., Wu, K., & Fu, Z. (2022). Review of the application of intelligent speech technology in education. Journal of China Computer-Assisted Language Learning, 2(1), 165–178. https://doi.org/10.1515/jccall-2022-0004
Gao, Y., & Li, L. (2022). Intelligent Structure Design of Learning Seats in University Smart Classroom under the Background of Intelligent Education. Computational Intelligence and Neuroscience, 2022(1), 7986426. https://doi.org/10.1155/2022/7986426
Gusho, L., Mucaj, A., Petro, M., & Vampa, M. (2023). The Use of Educational Technology to Improve the Quality of Learning and Teaching: A Systematic Research Review and New Perspectives. International Journal of Emerging Technologies in Learning (iJET), 18(15), Article 15. https://doi.org/10.3991/ijet.v18i15.39641
Jing, L. (2022). Application of Artificial Intelligence Algorithm and VR Technology in Vocal Music Teaching. Mobile Information Systems, 2022(1), 2320198. https://doi.org/10.1155/2022/2320198
Korkmaz, M. (2019). Smart Class Applications for Education. 2019 4th International Conference on Computer Science and Engineering (UBMK), 498–503. https://doi.org/10.1109/UBMK.2019.8907108
Lei, L. (2021). Design of Acoustic System in Smart Classroom. 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP), 916–920. https://doi.org/10.1109/ICSP51882.2021.9408811
Leko, M. M., Cook, B. G., & Cook, L. (2021). Qualitative Methods in Special Education Research. Learning Disabilities Research & Practice, 36(4), 278–286. https://doi.org/10.1111/ldrp.12268
Li, Y., & Wu, F. (2023). Design and Application Research of Embedded Voice Teaching System Based on Cloud Computing. Wireless Communications and Mobile Computing, 2023(1), 7873715. https://doi.org/10.1155/2023/7873715
Long, C., & Wang, S. (2021). Music classroom assistant teaching system based on intelligent speech recognition. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/jifs-219154
Park, G. J. (2019). The Study on the Software Educational Needs by Applying Text Content Analysis Method: The Case of the A University. Journal of the Korea Academia-Industrial cooperation Society, 20(3), 65–70. https://doi.org/10.5762/KAIS.2019.20.3.65
Ponce, O. A., Gomez-Galan, J., & Pagan-Maldonado, N. (2022). Qualitative research in education: Revisiting its theories, practices and developments in a scientific-political era. IJERI: International Journal of Educational Research and Innovation, 18, Article 18. https://doi.org/10.46661/ijeri.5917
Sanchez-Gonzalez, M., Terrell, M., Sanchez-Gonzalez, M., & Terrell, M. (2023). Flipped Classroom With Artificial Intelligence: Educational Effectiveness of Combining Voice-Over Presentations and AI. Cureus, 15. https://doi.org/10.7759/cureus.48354
Shi, G. (2022). Design and Implementation of IoT Data-Driven Intelligent Law Classroom Teaching System. Computational Intelligence and Neuroscience, 2022(1), 8003909. https://doi.org/10.1155/2022/8003909
Tao, Y. (2019). An Intelligent Voice Interaction Model Based on Mobile Teaching Environment. 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 377–380. https://doi.org/10.1109/ICITBS.2019.00099
Terzopoulos, G., & Satratzemi, M. (2019). Voice Assistants and Artificial Intelligence in Education. Proceedings of the 9th Balkan Conference on Informatics, 1–6. https://doi.org/10.1145/3351556.3351588
Thompson B. J., Thorne, S., & Sandhu, G. (2021). Interpretive description: A flexible qualitative methodology for medical education research. Medical Education, 55(3), 336–343. https://doi.org/10.1111/medu.14380
Umetani, K., Toyota, Y., Ishihara, M., & Hiraki, E. (2023). Artificial-Voice-Based Conversational Lecture Video Clips for Flipped Classroom. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), 1–7. https://doi.org/10.1109/ISIE51358.2023.10228017
Xu, W., & Zammit, K. (2020). Applying Thematic Analysis to Education: A Hybrid Approach to Interpreting Data in Practitioner Research. International Journal of Qualitative Methods, 19, 1609406920918810. https://doi.org/10.1177/1609406920918810
Yan, F., Niu, H., Feng, N., & Meng, Q. (2020). Intelligent Classroom Control System with Early Warning Function. In J. H. Abawajy, K.-K. R. Choo, R. Islam, Z. Xu, & M. Atiquzzaman (Eds.), International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 (pp. 1898–1903). Springer International Publishing. https://doi.org/10.1007/978-3-030-25128-4_251
Yang, D., Oh, E. S., & Wang, Y. (2020). Hybrid Physical Education Teaching and Curriculum Design Based on a Voice Interactive Artificial Intelligence Educational Robot. Sustainability, 12(19), Article 19. https://doi.org/10.3390/su12198000
Zhang, R., Chen, W., Xu, M., & Yang, Y. (2019). Analysis and Design of Voice Assisted Learning System Based on Baidu AI. 2019 IEEE International Conference on Computer Science and Educational Informatization (CSEI), 334–336. https://doi.org/10.1109/CSEI47661.2019.8938894.
Yu, B., & Zhao, Y. (2024). The Application and Challenges of Intelligent Voice Classroom Technology in Interactive Teaching: A Qualitative Study Based on Educational Experts. International Journal of Academic Research in Business and Social Sciences, 14(7), 2273–2283.
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