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Department of Mathematics and Information Technology

Dr. Chen Xieling
Associate Professor
Guangzhou University

Dr. Chen Xieling graduated with a Ph.D. from The Education University of Hong Kong in 2022. In 2023, she joined the School of Education at Guangzhou University as an Outstanding Young Scholar of the "Hundred Talents Program". She is currently an Associate Professor and Master's supervisor at Guangzhou University. Dr. Chen has led several research projects, including those funded by the National Natural Science Foundation of China and the Guangdong Provincial Social Science Planning Program. Her research interests include AI in education, technology-enhanced learning, and natural language processing. To date, Dr. Chen has published over 80 papers in national and international journals and conferences, with more than 40 of these appearing in prominent SCI/SSCI journals such as Computers & Education, Information Processing & Management, and the International Journal of Educational Technology in Higher Education. Two of her papers have been recognized as ESI Highly Cited Papers. She serves as Executive Editor or Executive Associate Editor for Elsevier journals including Computers and Education: Artificial Intelligence, Computers and Education: X Reality, and the Natural Language Processing Journal. She holds two software copyrights and has applied for three invention patents. Dr. Chen has received awards for her research, including the Best Paper Award at the 2020 International Conference on Blended Learning. She has also served as General Chair or Vice Chair for conferences such as the BESC 2022 Special Session and GCCCE 2023 C6. As of November 2024, her work has been cited 4,800 times on Google Scholar, with an h-index of 31 and an i10-index of 45. Stanford University has listed her as one of the World's Top 2% Scientists in three consecutive years (2022, 2023, and 2024).

Research interest

Artificial intelligence in education, Technology-enhanced learning, Natural language processing

Professional Services

  • Executive Editor: Computers and Education: Artificial Intelligence(Since 2020, Indexed by EI, Scopus, DBLP, DOAJ, Google Scholar); Natural Language Processing Journal (Since 2022)
  • Executive Associate Editor: Computers and Education: X Reality (Since 2022, Indexed by Scopus and DOAJ)
  • Conference chairs or program committee member: 2023 GCCCE C6 (Co-Chair), BESC 2019, SeCoP 2020, SETE-UMLL 2021, BESC 2022 (Special Session Chair)
  • Reviewer for 80 SCI/SSCI journals, including Computers & Education, British Journal of Educational Technology, Educational Technology & Society (ET&S), Interactive Learning Environments, Education and Information Technologies, International Journal of Educational Technology in Higher Education, Australasian Journal of Educational Technology, International Journal of STEM Education, Information Processing & Management.

Selected Publications

  • Xieling Chen, Haoran Xie, Di Zou, Lingling Xu, Fu Lee Wang. (2025). Automatic classification of Chinese programming MOOC reviews using fine-tuned BERTs and GPT-augmented data. Educational Technology & Society, 28(1). [SSCI, JCR Q1, IF=4.595] (In press)
  • Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Jie Cao. (2024). Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses, International Journal of Machine Learning and Cybernetics. 1-26. [SCI, IF = 5.600].
  • Xieling Chen, Di Zou, Gary Cheng, Haoran Xie. (2024). Deep neural networks for the automatic understanding of the semantic content of online course reviews. Education and Information Technologies, 29(4), 3953-3991. [SCI, IF = 5.500, 5-Year IF =5.300]
  • Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Zongxi Li, Fu Lee Wang. Automatic classification of online learner reviews via fine-tuned BERTs. International Review of Research in Open and Distributed Learning [SSCI, JCR Q1, IF= 2.5] (In press)
  • Xieling Chen, 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 [SCI, IF = 4.100, 5-Year IF =4.400]
  • Xieling Chen, Haoran Xie, Zongxi Li, Dian Zhang, Gary Cheng, Fu Lee Wang, Hong-Ning Dai & Qing Li. (2023). Leveraging deep learning for automatic literature screening in intelligent bibliometrics. International Journal of Machine Learning and Cybernetics, 14(4), 1483-1525. [SCI, IF = 5.600, 5-Year IF =4.500]
  • Xieling Chen, 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 [SSCI & SCI, JCR Q1, IF=11.182, 5-Year IF= 9.269]
  • Xieling Chen, Di Zou, Haoran Xie, Wang Fu Lee. (2024). Metaverse in education: contributors, cooperations, and research themes. IEEE Transactions on Learning Technologies, 16(6), 1111-1129. [SCI, JCR Q1, IF= 4.433]
  • Xieling Chen, Haoran Xie, Xiaohui Tao, Lingling Xu, Jingjing Wang, Dai Hong-Ning, Wang Fu Lee. (2024). A Topic Modelling-based Bibliometric Exploration of Automatic Summarization Research, WIREs Data Mining and Knowledge Discovery. [SCI, IF = 4.800].
  • Xieling Chen, Di Zou, Haoran Xie. (2020). Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective. British Journal of Educational Technology 51(3), 692-708. [SSCI, JCR Q1, IF=4.929, 5-Year IF=5.03]
  • Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng, Mingming Leng, Fu Lee Wang. (2023). Information fusion and artificial intelligence for smart healthcare: a bibliometric study. Information Processing and Management, 60(1), 103113. [SCI, IF=8.600, 5-Year IF= 8.200]
  • Xieling Chen, Haoran Xie, S Joe Qin, Yaping Chai, Xiaohui Tao, Fu Lee Wang. (2024). Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis, Cognitive Computation. [SCI, JCR Q1, IF = 4.300].
  • Xieling Chen, Di Zou, Haoran Xie, and Gary Cheng. (2021). Twenty years of personalized language learning: topic modeling and knowledge mapping. Educational Technology & Society 24 (1), 205-222. [SSCI, JCR Q1, IF = 3.522, 5-Year IF =3.941].
  • Xieling Chen, Di Zou, Haoran Xie, Fan Su. (2021). Twenty-five years of computer-assisted language learning: a topic modeling analysis. Language Learning & Technology 25(3), 151-185. [SSCI, JCR Q1, IF=4.313, 5-Year IF=4.094].
  • Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang. (2021). Past, present, and future of smart learning: a topic-based bibliometric analysis. International Journal of Educational Technology in Higher Education 18(1), 1-29. [SSCI, JCR Q1, IF = 4.944, 5-Year IF =5.361].
  • Xieling Chen, Di Zou, Haoran Xie, Gary Cheng. (2022). Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions. Educational Technology & Society 25 (1), 28-47. [SSCI, JCR Q1, IF = 3.522, 5-Year IF =3.941].
  • Xieling Chen, Gary Cheng, Di Zou, Baichang Zhong, Haoran Xie. (2023). Artificial intelligent robots for precision education: a topic modeling-based bibliometric analysis. Educational Technology & Society, 26(1), 171-186. [SSCI, JCR Q1, IF=3.522, 5-Year IF=3.941].
  • Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris Jong. (2022). Blockchain in smart education: Contributors, collaborations, applications, and research topics. Education and Information Technologies, 28(4), 4597-4627. [SSCI, IF = 5.500, 5-Year IF = 5.300].
  • Yu Song, Xieling Chen, Tianyong Hao, Zhinan Liu, Zixin Lan. (2019). Exploring two decades of research on classroom dialogue using bibliometric analysis. Computers & Education 137, 12-31 [SSCI & SCI, JCR Q1, IF=8.538, 5-Year IF=9.269]
  • Xieling Chen, Di Zou, Haoran Xie, Gary Cheng. (2022). Socialization in language learning: Topic modeling and bibliometric analysis. In Colpaert, J., & Stockwell, G. (Eds.). Smart CALL: Personalization, Contextualization, & Socialization (pp. 151-183). Castledown Publishers.
  • Xieling Chen, Di Zou, Haoran Xie and Gary Cheng (2020, September). What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses. In International Conference on Database Systems for Advanced Applications (pp. 73-79), LNCS, Springer, Cham. [EI]
  • Xieling Chen, Di Zou, Gary Cheng, and Haoran Xie. (2022). Understanding Classroom Interaction Using Epistemic and Social Network Analysis, In International Conference on Blended Learning. LNCS, Springer, Cham. (Accepted in April 2022). [EI]

Intellectual Property

  • Software Copyright: MyRef-A Personalized Reference Management System (Granted)
  • Software Copyright: An Automated QA System toward Children Education (Granted)
  • Patent Application: An Interaction Analysis Method and System Based on Cognitive and Social Network Mining (Filed)
  • Patent Application: A Conversation Recommendation Method, System, Device, Computer Equipment, and Storage Medium (Filed)
  • Patent Application: A Career-Oriented Learning Recommendation Method, Device, and Storage Medium (Filed)

Awards

  • 2022 - World's Top 2% Scientists in (1) Artificial Intelligence & Image Processing and (2) Education, Stanford University
  • 2023 - World's Top 2% Scientists in (1) Education and (2) Artificial Intelligence & Image Processing, Stanford University
  • 2024 - World's Top 2% Scientists in (1) Education and (2) Artificial Intelligence & Image Processing, Stanford University
  • The following paper was selected as ESI Highly Cited Paper: Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions.
  • The following paper was selected as ESI Highly Cited Paper:  Trends, Research Issues and Applications of Artificial Intelligence in Language Education.
  • The following paper was among the most cited articles from Computers & Education published since 2018, extracted from Scopus: Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education.
  • The following paper was among the most cited articles from British Journal of Educational Technology published between 1 Jan 2020-31 Dec 2021: Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective is among the top cited papers in British Journal of Educational Technology.
  • Excellent Paper Award, International Conference on Blended Learning 2020, Bangkok, Thailand, August 24-27, 2020
  • Postgraduate Students Publication Awards 2019/20 (2 publications);2020/21(5 publications); 2022/23(5 publications)
  • Hong Kong PhD Fellowship 2019/20, 2019
  • Best Paper Award, HealthInfo 2018, Guangzhou, 2018

Research Grants

  • PI, National Natural Science Foundation of China, 2024-2026
  • PI, Philosophy and Social Science Planning Project of Guangdong Province of China2024-2026
  • Co-I, National Social Science Fund of China, 2023-2025
  • Co-I, National Natural Science Foundation of China, 2018-2021
  • Co-I, Guangdong Province Preschool Education Quality Monitoring Project, 2023

 

Dr. Chia Hui Min
Research Assistant Professor
University of Macau

Dr. Chia Hui Min was pleased to be granted a studentship by The Education University of Hong Kong in 2019 and embarked on a PhD journey in the Department of Mathematics and Information Technology, specializing in Mathematics Education. For Dr. Chia, this three-year PhD journey was full of thrilling challenges and great memories, especially since the study had to be completed during the COVID-19 pandemic in 2020. Dr. Chia's PhD research project had to adapt to an online mode, which posed several challenges in terms of the quality of data collected, data analysis, and thesis writing. Dr. Chia's supervisor, Dr. Qiaoping Zhang, provided tremendous support for the research and writing to overcome those challenges. Peer support from different departments also helped Dr. Chia strive through the journey. Additionally, financial support from the Graduate School for attending international conferences enabled Dr. Chia to present findings and connect with researchers from different countries.

Refereed Journal Articles

  • Zhang, Q., Chia, H. M. & Morselli, F. (2023). Exploring the impact of distance teaching on mathematics educational values in Hong Kong: A study of in-service teachers’ perspectives. Mathematics Education Research Journal. https://doi.org/10.1007/s13394-023-00476-8 [Scopus](IF=1.8)
  • Chia, H. M. & Zhang, Q. (2023). Comparing Malaysian secondary school teachers’ and students’ values in mathematics learning: A mixed method study. International Journal of Mathematical Education in Science and Technology. https://doi.org/10.1080/0020739X.2023.2204103 [Scopus](IF=1.08)
  • Zhang, Q., Chia, H. M., & Chen, K. (2022). Examining Students’ Perceptions of STEM Subjects and Career Interests: An Exploratory Study among Secondary Students in Hong Kong. Journal of Technology Education, 33(2), 4–19. DOI: http://doi.org/10.21061/jte.v33i2.a.1 [Scopus](IF=0.222)

Book Chapters

  • Chia, H. M.& Zhang, Q. (2024). Towards a reconceptualisation of values research in mathematics education: A systematic literature review. In Y. Dede, G. Marschall, & P. Clarkson (Eds), Values and valuing in mathematics education (pp.37-56). Springer.

Conference Proceedings

  • Chia, H. M., & Zhang, Q. (2022). Assessment of/for/as online learning: Mathematics teachers’ views on online assessment during the COVID-19 pandemic. In J. Hodgen, E. Geraniou, G. Bolondi, & F. Ferretti (Eds.), Proceedings of the twelfth congress of the European society for research in mathematics education (pp. 3772-3779). Italy: Free University of Bozen-Bolzano. https://hal.science/CERME12/hal-03753411v1
  • Chia, H. M. & Zhang, Q. (2021). A preliminary analysis on what Malaysian secondary school teachers valued in mathematics learning? International Conference on Learning and Teaching 2021 (ICLT) Programme Handbook (p.97). The Education University of Hong Kong.
  • Chia, H. M. & Zhang, Q. (2021). Malaysian secondary school students’ values in mathematics learning: A preliminary analysis. In M. Inprasitha, N. Changsri & N. Boonsena (Eds.). Proceedings of the 44th Conference of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 164-171). Khon Kaen, Thailand: PME.
  • Chia, H. M. & Zhang, Q. (2021). Mathematics teaching during the pandemic: What Hong Kong mathematics teachers valued? The International Congress of Pedagogical Research: Abstracts Book (p.17). Universiti Utara Malaysia.
  • Chia, H. M. (2020). What I Find Important: Gender difference in valuing mathematics learning in Malaysia. The International Conference on Gender, Language and Education (ICGLE): Conference Programme Booklet (pp. 98-99). The Education University of Hong Kong.
  • Chia, H. M. & Zhang, Q. (2019). Hong Kong secondary students’ views of STEM and STEM career interests. In W. W. So, W M. Lam, H. R. Xie & K. S. Cheng (Eds). Abstract proceeding of the International Conference on Advances in STEM Education (ASTEM) (p. 36).  The Education University of Hong Kong: Hong Kong.

Awards

  • Postgraduate Students Publication Awards Scheme 2022-2023, awarded by The Education University of Hong Kong, Hong Kong SAR.

 

Dr Leung Yu Hin
Vice Principal (Primary Division)
Minxin Hong Kong School (Guangzhou Nansha)

Dr. Leung Yu Hin has been honored with the prestigious Outstanding FLASS Alumni Award 2024, He graduated with a Doctor of Education in Mathematics Education (Dean's Honor List) and a Master of Arts in Mathematics and Pedagogy (Dean's Honor List) from The Education University of Hong Kong. Currently, Dr. Leung holds key positions at Minxin Hong Kong School (Guangzhou Nansha) such as Vice Principal (Primary Division), Head of Mathematics (Primary Division), Chairman of the Teacher Professional Development Committee, and Person-In-Charge of the AI & IT Department. This recognition underscores Dr. Leung's exceptional contributions and achievements in the field.

Honours and Awards

  • Outstanding FLASS Alumni Award 2024
  • Hong Kong Metropolitan University - President's Awards for Excellence in Inspirational Teaching
  • Po Leung Kuk Awards for Outstanding Contribution to Educational Service (Gold) 2023
  • Hong Kong Association of Mathematics Education - The 4th Professor Siu Man Keung Mathematics Teacher Excellence Paper Award
  • HKFEW - Outstanding Teacher Election 2022 - Outstanding Teacher Award Winner - School-based Management Section
  • HKNETEA The Greater Bay Area STEM Excellence Award - 2022 Top 10 STEM Teacher Award
  • HKU CITE Teacher Award Scheme 2021 (In-STEM) - Learning Design Award