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陈增照
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教师拼音名称: chen zeng zhao
电子邮箱:
233382f76d6d6db8d15c5cef974ac4a07f9bf0f760524cf0339548736b9e01045df8231ccc08a1acb06cb68d7d5290f2f934765b57073f55f80251dc636ce2ebe79daeeed246ad174f7f486294497ee47e9c0346af81cc2f00ab1ea62dcfcf19a668a704a7fa27077412286c981185e91747d174120e3af14b8556b39478714a
所在单位: “人工智能与教育新形态”教育部哲学社会科学实验室
办公地点: 南湖综合楼
职称: 教授
学科: 计算机应用技术
招生学科: 教育技术学 、 计算机应用技术 、 教育学
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.Wang, M., Chen, Z., Xu, Y., Maheshi, B., & Gašević, D. Intelligent teaching analytics for collaborative reflection: Investigating pre-service teachers’ perceptions, experiences and shared regulation processes. International Journal of Educational Technology in Higher Education.(2025). 22(1), 45. doi:https://doi.org/10.1186/s41239-025-00538-w
.Zengzhao Chen, Debo Ren, Zhifeng Wang, Lu Gao, Yawen Shi, Hai Liu, Tonglian Yang, Enhancing student academic performance in middle school classrooms by fostering engagement motivation through intelligent assessment of teacher praise emotional intensity, Learning and Instruction, Volume 99, 2025, 102185, https://doi.org/10.1016/j.learninstruc. 2025.102185.
.Zheng, Q., Chen, Z., Jiang, X. et al. NResNet: nested residual network based on channel and frequency domain attention mechanism for speaker verification in classroom. Multimed Tools Appl 84, 14235–14251 (2025). https://doi.org/10.1007/s11042-024-19588-9
.Zengzhao Chen, Chuanxu Zhao, Zhifeng Wang, Chuan Liu, Qiuyu Zheng, Cheng Zou, DS-BTIAN: A Novel Deep-Shallow Bidirectional Transformer Interactive Attention Network for Multimodal Emotion Recognition, 2025 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP 2025),DOI: 10.1109/ICASSP49660.2025.10890067.
.Zengzhao Chen, Chuan Liu, Zhifeng Wang, Chuanxu Zhao, Mengting Lin, Qiuyu Zheng, MTLSER:Multi-task learning enhanced speech emotion recognition with pre-trained acoustic model, Expert Systems with Applications, 2025(273), 126855. DOI: https://doi.org/10.1016/ j.eswa.2025.126855.
.Wang, M., Long, T., Li, N. Shi, Y., Chen Z.*,. The impact of different types of feedback on pre-service teachers’ microteaching practice and perceptions. Education and Information Technologies. (2024). https://doi.org/10.1007/s10639-024-13024-z.
.Wang, M., Chen, Z.*, Liu, Q., Peng, X., Long, T., & Shi, Y. Understanding teachers’ willingness to use artificial intelligence-based teaching analysis system: extending TAM model with teaching efficacy, goal orientation, anxiety, and trust. Interactive Learning Environments, (2024). 1–18. https://doi.org/10.1080/10494820.2024.2365345
.Zheng Q., Chen Z.*, Wang M., Shi Y., Chen S. and Liu Z., Automated Multimode Teaching Behavior Analysis: A Pipeline-Based Event Segmentation and Description, IEEE Transactions on Learning Technologies, 2024, vol. 17, pp. 1717-1733, doi: 10.1109/TLT.2024. 3396159.
.Ji, G., Chen, Z., Liu, H., Liu, T., & Wang, B*. (2024). APTrans: Transformer-based multilayer semantic and locational feature integration for efficient text classification. Applied Sciences, 14(11), 4863. doi:https://doi.org/10.3390/app14114863
.Tan Y.; Liu Q.; Liu T.; Liu H.; Wang S.; Chen Z.*. RQ-OSPTrans: A Semantic Classification Method Based on Transformer That Combines Overall Semantic Perception and “Repeated Questioning” Learning Mechanism. Applied Sciences. 2024; 14(10):4259. https://doi.org/ 10.3390/ app14104259
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