[1]  熊璋. 推进教材数字化转型是时代要求和趋势. 人民教育. 2024.

[2]  熊璋. 教育强国建设的初心、创新和信心. 现代教育技术. 2025.

[3]  熊璋. 未来教育新生态建构的趋势与关键. 人民论坛·学术前沿. 2024.

[4]  熊璋, 武迪. 教育强国建设背景下人工智能赋能教育创新的路径探索. 人民教育. 2023.

[5]  熊璋. 构筑“以学习者为中心”的教学新生态. 中国基础教育. 2023.

[6]  熊璋. 提升教师数字素养与技能，办好人民满意的教育. 中小学数字化教学. 2023.

[7]  熊璋. 构建教育创新和教育信创协同发展的中国模式[N/OL].光明网, https://share.gmw.cn/edu/2024-12/04/content_37716413.htm, 2024-12-04. 

[8]  熊璋, 梁伟, 张旭路. 建设教育强国，人工智能赋能“怎样培养人”[N/OL].光明网， https://theory.gmw.cn/2023-06/01/content_36603189.htm, 2023-06-01.

[9]  熊璋, 刘林. “人工智能+行动”是教育创新的机遇[N]. 中国教师报. 2024-05-29. http://chinateacher.jyb.cn/zgjsb/html/2024-05/29/content_639783.htm?div=-1.

[10]  熊璋，欧阳元新. 融合从因材施教开始[N]. 中国教育报，2019-07-06 [3]. http://www.jyb.cn/rmtzgjyb/201907/t20190706_246395.html

[11]  熊璋，蒲菊华. 人工智能重新定义教师角色[N]. 中国教育报，2019-11-23[3].  http://www.jyb.cn/rmtzgjyb/201911/t20191123_276571.html.

[12]  熊璋，杨晓哲. 充分利用人工智能促进教育公平[N]. 中国教育报，2019-06-01[3]. http://www.jyb.cn/rmtzgjyb/201906/t20190601_238579.html

[13]  熊璋. “人工智能+”行动赋能教育新生态的关键要素. 中小学数字化教学. 2024.

[14]  陈辉，熊璋. 教育数字化赋能新一轮教育创新. 人民教育. 2022.

[15]  蒲菊华，王鋆玙，熊璋. 数据驱动的在线学习资源推荐框架研究. 课程教学研究. 2022.

[16]  熊璋，蒲菊华，南方. 面向信息素养提升的“互联网+教学”体系研究. 中小学数字化教学. 2020.

[17]  欧阳元新，王乐天，李想，蒲菊华，熊璋，教育领域反馈文本情感分析方法及应用研究. 计算机教育. 2020.

[18]  Hao Zhou, Wenge Rong, Jianfei Zhang, Qing Sun, Yuanxin Ouyang, Zhang Xiong. AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling. IEEE Transactions on Learning Technologies. 2025.

[19]  Jiayun Wang, Wenge Rong, Jun Bai, Zhiwei Sun, Yuanxin Ouyang, Zhang Xiong. Multi-Source Soft Labeling and Hard Negative Sampling for Retrieval Distractor Ranking. IEEE Transactions on Learning Technologies. 2024.

[20]  Wenge Rong, Tianfan Xu, Zhiwei Sun, Zian Sun, Yuanxin Ouyang, Zhang Xiong. An Object Tuple Model for Understanding Pointer and Array in C Language. IEEE Transactions on Education. 2023.

[21]  Yuanxin Ouyang, Hongbo Zhang, Wenge Rong, Xiang Li, Zhang Xiong. MOOC Opinion Mining Based on Attention Alignment. Information Discovery and Delivery. 2022.

[22]  Hui Chen, Chuantao Yin, Rumei Li, Wenge Rong, Zhang Xiong, Bertrand David. Enhanced Learning Resource Recommendation Based on Online Learning Style Model. Tsinghua Science and Technology. 2020.

[23]  Rui Liu, Wenge Rong, Yuanxin Ouyang, Zhang Xiong. A Hierarchical Similarity based Job Recommendation Service Framework for University Students. Frontiers of Computer Science. 2017.

[24]  Ting Li, Chuantao Yin, Yanmei Chai, Hui Chen, Wenge Rong, Yuanxin Ouyang. An RSB-GNN-Based EEG Approach for Exploring Students’ Affective States in E-Learning. Proceedings of 2024 IEEE Frontiers in Education Conference. 2024.

[25]  Xuyang Jiang, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong. MAKT: Multichannel Attention Networks based Knowledge Tracing with Representation Learning. Proceedings of 2022 IEEE International Conference on Teaching, Assessment, and Learning for Engineering. 2022.

[26]  Guanming Chen, Chuantao Yin, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Jinsong Cai. A Recommendation Algorithm for University Master Tutors Based on Machine Learning. Proceedings of 2022 IEEE Global Engineering Education Conference. 2022.

[27]  Wenge Rong, Junting Zhao, Yuanxin Ouyang, Shanbo Cui, Zhang Xiong. Factor Analysis for the Acceptance of Introductory Courses Among University Students in China. Proceedings of 2021 IEEE International Conference on Engineering, Technology and Education. 2021.

[28]  Lingyao Yan, Chuantao Yin, Hui Chen, Wenge Rong, Zhang Xiong, Bertrand David. Learning Resource Recommendation in E-learning Systems based on Online Learning Style. Proceedings of 14th International Conference on Knowledge Science Engineering and Management. 2021.

[29]  Hui Chen, Chuantao Yin, Xin Fan, Lei Qiao, Wenge Rong, Zhang Xiong. Learning Path Recommendation for MOOC Platforms Based on A Knowledge Graph. Proceedings of 14th International Conference on Knowledge Science Engineering and Management. 2021.

[30]  Yuanxin Ouyang, Yuchong Zhou, Hongbao Zhang, Wenge Rong, Zhang Xiong. PAKT: A Position-Aware Self-Attentive Approach for Knowledge Tracing. Proceedings of 22nd International Conference on Artificial Intelligence in Education. 2021.

[31]  Xiaoyan Zhang, Chuantao Yin, Hui Chen, Wenge Rong, Zhang Xiong, Bertrand David. A hierarchical RNN-based Model for Learning Recommendation with Session Intent Detection. Proceedings of 11th IEEE Global Engineering Education Conference. 2020.

[32]  Lei Qiao, Chuantao Yin, Hui Chen, Honglu Sun, Wenge Rong, Zhang Xiong. Automated Construction of Course Knowledge Graph Based on China MOOC Platform. Proceedings of 2019 IEEE International Conference on Teaching, Assessment, and Learning for Engineering. 2019.

[33]  Xiang Li, Yuanxin Ouyang, Wenge Rong, Zhang Xiong. A Shallow BERT-CNN Model for Sentiment Analysis on MOOCs Comments. Proceedings of 2019 IEEE International Conference on Teaching, Assessment, and Learning for Engineering. 2019.

[34]  Wenge Rong, Long Zhang, Shanbo Cui, Yuanxin Ouyang, Zhang Xiong. Social Factors Analysis for Understanding MOOCs Usage Among University Students in China. Proceedings of 2019 IEEE International Conference on Engineering, Technology and Education. 2019.

[35]  Yuanxin Ouyang, Shanbo Cui, Shiyuan Xiao, Yue Qu, Wenge Rong, Zhang Xiong. Teenagers Need to Aware Their Personal Responsibility in Internet Society: Our approach in Information Entrance Course. Proceedings of 2018 IEEE Frontiers in Education Conference. 2018.

[36]  Cui Tang, Yuanxin Ouyang, Wenge Rong, Jingshuai Zhang, Zhang Xiong. Time Series Model for Predicting Dropout in Massive Open Online Courses. Proceedings of 19th International Conference on Artificial Intelligence in Education. 2018.

[37]  Yuanxin Ouyang, Cui Tang, Wenge Rong, Long Zhang, Chuantao Yin, Zhang Xiong. Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention. Proceedings of 50th Hawaii International Conference on System Sciences. 2017.

[38]  Rui Liu, Yuanxin Ouyang, Wenge Rong, Xin Song, Cui Tang, Zhang Xiong. Rating Prediction Based Job Recommendation Service for College Students. Proceedings of 16th International Conference on Computational Science and Its Applications. 2016.

[39]  Rui Liu, Yuanxin Ouyang, Wenge Rong, Xin Song, Weizhu Xie, Zhang Xiong. Employer Oriented Recruitment Recommender Service for University Students. Proceedings of 12th International Conference on Intelligent Computing Methodologies. 2016.

[40]  Chuantao Yin, Bingxue Zhang, Wenge Rong, Bertrand David, Zhang Xiong. Mobile Learning for Professional Situations in Smart City. Proceedings of 2013 IET International Conference on Smart and Sustainable City. 2013.