Dr. Guanliang Chen is a Senior Lecturer in the Faculty of Information Technology, Monash University, Australia. Prior to joining Monash University, he obtained his Ph.D. from the Faculty of Electrical Engineering, Mathematics & Computer Science, Delft University of Technology (TU Delft) in the Netherlands.

Guanliang is interested in the following research fields:

• Artificial Intelligence in Education
• Natural Language Processing
• Learning Analytics

In particular, Guanliang aims to apply state-of-the-art language technologies to make use of the textual data collected in various educational settings (e.g., Q&A pairs in discussion forums, instructor-crafted feedback, and student-generated reflective statements) to construct a more inclusive learning environment. His research work is centered around two themes:

• Fairness, accountability, and transparency of Machine Learning techniques in education;
• Automatic collection and generation of quality educational materials (e.g., assessment questions and informative feedback).

For prospective students: I am always looking for self-motivated Ph.D. students, who have a strong interest in research on technology-enhanced education, to work with me. I’m also happy to work with master and undergraduate students at Monash University. If you are interested, please contact me via guanliang.chen@monash.edu.

What’s New

• Hooray! Our ICALT 2023 paper got picked up by Campus Morning Mall.
• Journal article “Lessons from debiasing data for fair and accurate predictive modeling in education” accepted by Expert Systems with Applications.
• Journal article “Can Large Language Models Write Reflectively?” accepted by Computers and Education: Artificial Intelligence.
• One short paper accepted at ICALT 2023.
• Four full papers accepted at AIED 2023.
• Our paper “Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study” accepted by British Journal of Educational Technology has been recognized as a Top Cited Article 2021-2022 by WILEY.
• Three full papers accepted at LAK 2023.
• Journal article “Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts” accepted by IEEE Transactions on Learning Technologies.
• One full paper “On the Effectiveness of Curriculum Learning in Educational Text Scoring” accepted for presentation at AAAI 2023.
• Our COLING 2022 paper has been recognised as one of the 11 outstanding papers (selected from 522 accepted long papers) at the conference!
• Our project “Large-scale multimodal knowledge management: From organization and user modeling to fast contextual presentation” is approved for funding by the Defense Advanced Research Projects Agency in the US (DARPA-KMASS).
• Journal article “Early prediction of learners at risk in self-paced education: A neural network approach” accepted by Expert Systems with Applications.
• One full paper “Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification” accepted as an oral presentation at COLING 2022.
• Journal article “Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education” accepted by IEEE Transactions on Learning Technologies.
• Journal article “Explainable Artificial Intelligence in education” accepted by Computers and Education: Artificial Intelligence.
• Journal article “Assessment in the age of artificial intelligence” accepted by Computers and Education: Artificial Intelligence.
• One full paper and two short papers accepted at AIED 2022.
• One short paper accepted at EDM 2022.
• Full paper “Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring?” accepted at NAACL-HLT 2022.
• Journal article “Towards automated content analysis of educational feedback: A multi-language study” accepted by Computers and Education: Artificial Intelligence.
• Our Discovery Project “Data analytics-based tools and methods to enhance self-regulated learning” is approved for funding by the Australia Research Council (ARC DP).
• Full paper “Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues” accepted at LAK 2022.
• Receive the FIT Dean’s Award for Equity, Diversity and Inclusion (Research)!