基本介紹
- 中文名：陳鵬鶴
- 學位/學歷：博士
教育背景,工作經歷,社會任職,科研項目,期刊論文,會議論文,
教育背景
1. 博士，計算機科學，新加坡國立大學。
2. 學士，電子工程，新加坡國立大學。
工作經歷
1. 教育技術學院，教育學部，北京師範大學。
2. 北師大未來教育高精尖創新中心，北京師範大學。
3. 高級數字科學中心, 伊利諾伊大學厄巴納-香檳分校（新加坡）。
社會任職
1. PC member, International Conference on Artificial Intelligence in Education (AIED)
2. PC member, AAAI Conference on Artificial Intelligence (AAAI)
3. PC member, The Conference on Information and Knowledge Management (CIKM)
科研項目
1. 國家自然科學基金面上項目：基於任務導向型對話系統的育人問題自動診斷研究，62177009，2022~2024，主持。
2. 國家自然科學基金青年項目：基於教育知識圖譜的個性化學習路逕自動生成研究，61807003，2019~2021，主持。
3. 教育部產學合作協同育人項目：面向科研能力培養的中學人工智慧課程建設，2021~2022，主持。
4. CCF騰訊犀牛鳥科研基金：面向育人問題的對話服務機器人研究，2019~2020，主持。
期刊論文
1. Penghe Chen, Yu Lu, Shengquan Yu, Qi Xu, and Jiefei Liu. “A Dialogue System for Identifying Need Deficiencies in Moral Education,”Journal of Pacific Rim Psychology—AI in Learning, vol 15, 2021.
2. Yu Lu, Huayu Wu, Xin Liu, and Penghe Chen, “TourSense: A Framework for Tourist Identification and Analytics Using Transport Data,” IEEE Transactions on Knowledge and Data Engineering, 31, no. 12 (2019): 2407-2422.
3. Yu Lu, Jingjing Zhang, Baoping Li, Penghe Chen, and Zijun Zhuang, “Harnessing Commodity Wearable Devices to Capture Learner Engagement,” IEEE Access, vol. 7, pp.15749–15757, 2019.
4. Penghe Chen, Yu Lu, Vincent W. Zheng, Xiyang Chen, and Boda Yang, “KnowEdu: A System to Construct Knowledge Graph for Education,” IEEE Access, vol. 6, pp.31553-31563, 2018.
5. Muhammad Qasim Memon, Yu Lu, Penghe Chen, Aasma Memon, Muhammad Salman Pathan, and Zulfiqar Ali Zardari, “An Ensemble Clustering Approach for Topic Discovery using Implicit Text Segmentation”, Journal of Information Science, pp. 0165551520911590, 2020.
6. Penghe Chen, Shubhabrata Sen, Hung Keng Pung, Wenwei Xue, and Wai Choong Wong, “A Context Management Framework for Context-Aware Applications in Mobile Spaces,” International Journal of Pervasive Computing and Communications, vol. 8, no. 2, pp.185-210, 2012.
7. 陳鵬鶴，彭燕，余勝泉。“AI好老師——智慧型育人助理系統設計與技術實現”，開放教育研究， 25(2):12-22，2019。
8. 盧宇，薛天琪，陳鵬鶴，余勝泉。“智慧型教育機器人系統構建及關鍵技術”，開放教育研究， 26(2):83-91，2020。
9. 盧宇，陳鵬鶴。“人工智慧賦能教育:教育機器人”，人工智慧, 2019。
會議論文
1. Penghe Chen, Yu Lu, Jiefei Liu, and Qi Xu. “An Intelligent Assistant for Problem Behavior Management.” The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Virtual Conference, 2021.
2. Yu Lu, Yang Pian, Penghe Chen, Qinggang Meng, and Yunbo Cao. “RadarMath: An Intelligent Tutoring System for Math Education.” The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Virtual Conference, 2021.
3. Penghe Chen, Yu Lu, Yan Peng, Jiefei Liu, and Qi Xu. “Identification of Students’ Need Deficiency Through a Dialogue System.” International Conference on Artificial Intelligence in Education (AIED), Cyberspace, 2020.
4. Yu Lu, Deliang Wang, Qinggang Meng and Penghe Chen. “Towards Interpretable Deep Learning Models for Knowledge Tracing.” International Conference on Artificial Intelligence in Education (AIED), Cyberspace, 2020.
5. Yan Peng, Penghe Chen, Yu Lu, Qinggang Meng, Qi Xu, and Shengquan Yu, “A Task-Oriented Dialogue System for Moral Education,” International Conference on Artificial Intelligence in Education (AIED), Chicago, Illinois, United States, 2019.
6. Yang Pian, Yu Lu, Penghe Chen, and Qinglong Duan, “CogLearn: A Cognitive Graph-Oriented Online Learning System,” IEEE Thirty-Fifth International Conference on Data Engineering (ICDE), Demo, Macao, China, 2019.
7. Penghe Chen, Yu Lu, Vincent W. Zheng, and Yang Pian, “Prerequisite-Driven Deep Knowledge Tracing,” IEEE International Conference on Data Mining (ICDM), Singapore, 2018.
8. Penghe Chen, Yu Lu, Vincent W. Zheng, Xiyang Chen, and Xiaoqing Li, “An Automatic Knowledge Graph Construction System for K-12 Education,” The Fifth Annual ACM Conference on Learning at Scale (L@S), London, UK, 2018.
9. Yu Lu, Chen Chen, Penghe Chen, Xiyang Chen and Zijun Zhuang, “Smart Learning Partner: An Interactive Robot for Education,” International Conference on Artificial Intelligence in Education (AIED), London, UK, 2018.
