姓名：陈协玲

职称：副教授

学位：博士

性别：女

邮箱：shaylyn_chen@163.com

研究方向

教育人工智能，文本挖掘，技术强化学习，统计学，自然语言处理，可视化

个人简介

  陈协玲，博士，副教授，硕士生导师，广州大学“百人计划”青年杰出人才。主持国家自然科学基金，参与国家社会科学基金、国家自然科学基金等项目。主要研究方向为教育人工智能，研究领域涉及文本挖掘、技术强化学习、自然语言处理、统计分析、可视化。近五年发表68篇论文，其中36篇发表在Computers & Education, British Journal of Educational Technology, Language Learning & Technology, Information Processing & Management, International Journal of Educational Technology in Higher Education, Neurocomputing, and Neural Computing and Applications等SCI/SSCI 期刊上，累计影响因子大于140；2篇CSSCI期刊论文，29篇EI索引论文。其中两篇被评为Computers & Education和British Journal of Educational Technology高被引文章。1篇文章入选ESI高被引论文。担任3个Elsevier期刊Computers and Education: Artificial Intelligence、Computers and Education: X Reality、以及Natural Language Processing的执行编辑。担任Computers & Education, Information Processing & Management 等近50个SCI/SSCI期刊审稿人。担任BESC 2019, SeCoP 2020, GCCCE 2021, SETE-UMLL 2021等的PC委员；担任BESC 2022 Special Session主席；担任GCCCE 2023子会议C6执行副主席。截止2023年9月，她的 Google Scholar 被引量为 2411，h-index 为23，i-10 index为34。被斯坦福大学列为全球前2%顶尖科学家。

学习与工作经历

学术兼职与社会服务

1. Elsevier期刊执行编辑（Executive editor）：Computers and Education: Artificial Intelligence (创刊于2020年7月, EI, Scopus, DBLP, DOAJ, Google Scholar); Computers and Education: X Reality (创刊于2022年6月); Natural Language Processing Journal (创刊于2022年6月)

2. 会议程序委员: GCCCE 2023 C6执行副主席; BESC 2022, SeCoP 2020; SETE-UMLL 2021

3. SCI/SSCI 期刊审稿人: Computers & Education, British Journal of Educational Technology, Interactive Learning Environments, Education and Information Technologies, International Journal of Educational Technology in Higher Education, International Journal of STEM Education, Information Processing & Management, Journal of Information Science等

期刊论文（部分）

1. Xieling Chen（陈协玲）, Di Zou, Gary Cheng, Haoran Xie. (2020). Detecting Latent Topics and Trends in Educational Technologies over Four Decades Using Structural Topic Modeling: A Retrospective of All Volumes of Computers & Education. Computers & Education, 151.

2. Xieling Chen（陈协玲）, Haoran Xie, Zongxi Li, Gary Cheng, Mingming Leng, Fu Lee Wang. (2022). Information fusion and artificial intelligence for smart healthcare: a bibliometric study. Information Processing & Management, 60(1), 103113.

3. Xieling Chen（陈协玲）, Di Zou, Gary Cheng, Haoran Xie. (2023). Deep neural networks for the automatic understanding of the semantic content of online course reviews. Education and Information Technologies.

4. Xieling Chen（陈协玲）, Haoran Xie, Zongxi Li, Dian Zhang, Gary Cheng, Fu Lee Wang, Hong-Ning Dai, Qing Li. (2022). Leveraging deep learning for automatic literature screening in intelligent bibliometrics. International Journal of Machine Learning and Cybernetics, 14(4), 1483-1525.

5. Xieling Chen（陈协玲）, Di Zou, Gary Cheng, Haoran Xie, Fan Su. (2022). Effects of flipped language classrooms on learning outcomes in higher education: A Bayesian meta-analysis. Australasian Journal of Educational Technology, 39(2), 65-97.

6. Xieling Chen（陈协玲）, Di Zou, Haoran Xie, Fu Lee Wang. (2023). Metaverse in Education: Contributors, Cooperations, and Research Themes. IEEE Transactions on Learning Technologies.

科研项目

1. 主持国家自然科学基金青年项目

2. 参与国家社科基金教育学一般课题

3. 参与国家自然科学基金面上项目