Publications
– Refereed International Journals –
Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Raković, Kirsten Galbraith, Kayley Lyons, Dragan Gašević, Guanliang Chen (2023). Can Large Language Models Write Reflectively. Computers and Education: Artificial Intelligence.
Lele Sha, Dragan Gašević, Guanliang Chen. (2023). Lessons from debiasing data for fair and accurate predictive modeling in education. Expert Systems with Applications.
Lele Sha, Mladen Raković, Jionghao Lin, Quanlong Guan, Alexander Whitelock-Wainwright, Dragan Gašević, Guanliang Chen. (2022) Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. IEEE Transactions on Learning Technologies.
Paul J. White, Clare Guilding, Tom Angelo, John Kelly, Laurel Gorman, Steve Tucker, Ashleigh Fun, Jae Han, Guanliang Chen, Yassmin Samak, Anna Marie Babey, Fabiana A. Caetano, Sudhir Chandra Sarangi, Jennifer Koenig, Haiping Hao, Joseph Goldfarb, Kelly Karpa, Luciene Vieira, Carolina Restini, Margaret Cunningham, Patrik Aronsson, Roisin Kelly-Laubscher, Mark Hernandez, P. K. Rangachari, Janet Mifsud, Fatima Mraiche, Ramzi Sabra, Octavio Piñeros, Xuechu Zhen, Helen Kwanashie, Betty Exintaris, Nilushi Karunaratne, Kuniaki Ishii, Yannee Liu. (2022) Identifying the core concepts of pharmacology education: a global initiative. British Journal of Pharmacology.
Hajra Waheed, Saeed-Ul Hassan, Raheel Nawaz, Naif R. Aljohani, Guanliang Chen, Dragan Gašević. (2022) Early prediction of learners at risk in self-paced education: A neural network approach. Expert Systems with Applications.
Lele Sha, Mladen Raković, Angel Das, Dragan Gašević, Guanliang Chen (2022). Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education. IEEE Transactions on Learning Technologies. [Preprint]
Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng (2022). Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. Education and Information Technologies.
Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Dragan Gašević, Judy Kay, Simon Knight, Roberto Martinez-Maldonado, Shazia Sadiq, Yi-Shan Tsai (2022). Explainable Artificial Intelligence in education. Computers and Education: Artificial Intelligence.
Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martinez-Maldanado, Jason Lodge, Sandra Milligan, Neil Selwyn, Dragan Gašević (2022). Assessment in the age of artificial intelligence. Computers and Education: Artificial Intelligence.
Ikenna Osakwe, Guanliang Chen, Alex Whitelock-Wainwright, Dragan Gašević, Anderson Pinheiro Cavalcanti, Rafael Ferreira Mello (2022). Towards automated content analysis of educational feedback: A multi-language study. Computers and Education: Artificial Intelligence.
Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gašević, Guanliang Chen (2021). Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues. Future Generation Computer Systems.
Lixiang Yan, Alexander Whitelock‐Wainwright, Quanlong Guan, Gangxin Wen, Dragan Gašević, Guanliang Chen (2021). Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study. British Journal of Educational Technology. [Top Cited Article 2021-2022 recognized by WILEY] [PDF]
Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou (2021). Understanding MOOC Reviews: Text Mining using Structural Topic Model. Human-Centric Intelligent Systems.
Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben (2018). Activating Learning at Scale: A Review of Innovations in Online Learning Strategies. Computers & Education. [PDF]
Guanliang Chen, Dan Davis, Markus Krause, Efthimia Aivaloglou, Claudia Hauff, Geert-Jan Houben (2016). From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place. IEEE Transactions on Learning Technologies. [PDF]
Guanliang Chen and Li Chen (2015). Augmenting Service Recommender Systems by Incorporating Contextual Opinions from User Reviews. User Modeling and User-Adapted Interaction Journal (UMUAI). [PDF]
Li Chen, Guanliang Chen, Feng Wang (2015). Recommender Systems Based on User Reviews: the State of the Art. User Modeling and User-Adapted Interaction Journal (UMUAI). [PDF]
– Refereed International Conferences –
Wei Dai, Jionghao Lin, Flora Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gašević, Guanliang Chen. Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. In proceedings of the 23rd IEEE International Conference on Advanced Learning Technologies (ICALT), 2023. (Short paper)
Lele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen. The Road not Taken: Preempting Dropout in MOOCs. In proceedings of the 24th International Conference on Artificial Intelligence in Education (AIED), 2023. (Full paper)
Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gašević, Guanliang Chen. Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. In proceedings of the 24th International Conference on Artificial Intelligence in Education (AIED), 2023. (Full paper)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray Buntine, Richard Beare, Guanliang Chen, Dragan Gašević. Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. In proceedings of the 24th International Conference on Artificial Intelligence in Education (AIED), 2023. (Full paper)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gašević, Lan Du, Wray Buntine. Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. In proceedings of the 24th International Conference on Artificial Intelligence in Education (AIED), 2023. (Full paper)
Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gašević, Guanliang Chen. Learner-centred Analytics of Feedback Content in Higher Education. In Proceedings of the 13th International Conference on Learning Analytics and Knowledge (LAK), 2023. (Full paper)
Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani and Dragan Gašević. Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom’s Taxonomy. In Proceedings of the 13th International Conference on Learning Analytics and Knowledge (LAK), 2023. (Full paper)
Lin Li, Lele Sha, Yuheng Li, Mladen Rakovic, Jia Rong, Srecko Joksimovic, Neil Selwyn, Dragan Gašević, Guanliang Chen. Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education. In Proceedings of the 13th International Conference on Learning Analyt-ics and Knowledge (LAK), 2023. (Full paper)
Zijie Zeng, Dragan Gašević, Guanliang Chen. On the Effectiveness of Curriculum Learning in Educational Text Scoring. In proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. (Full paper) [PDF]
Lele Sha, Yuheng Li, Dragan Gašević, Guanliang Chen. Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification. In proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022. (Full paper, oral presentation) [Outstanding Paper, a.k.a Best Paper Nominee] [PDF]
Lin Li, Weike Pan, Guanliang Chen, Zhong Ming. DeepSet: Deep Learning-based Recommendation with Setwise Preference. In proceedings of the International Joint Conference on Neural Networks (IJCNN), 2022.
Mladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gašević, Guanliang Chen. Towards the Automated Evaluation of Legal Casenote Essays. The International Conference on Artificial Intelligence in Education (AIED), 2022. (Full paper)
Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gašević, Guanliang Chen. Measuring Inconsistency in Written Feedback: A Case Study in Politeness. The International Conference on Artificial Intelligence in Education (AIED), 2022. (Short paper)
Lin Li, Zachari Swiecki, Dragan Gašević, Guanliang Chen. Popularity Prediction in MOOCs: A Case Study on Udemy. The International Conference on Artificial Intelligence in Education (AIED), 2022. (Short paper)
Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gašević, Guanliang Chen. Automatic Classification of Learning Objectives Based on Bloom’s Taxonomy. The International Conference on Educational Data Mining (EDM), 2022. (Short paper)
Zijie Zeng, Xinyu Li, Dragan Gašević, Guanliang Chen. Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring?. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2022. (Full paper)
Jionghao Lin, Mladen Raković, David Lang, Dragan Gašević, Guanliang Chen. Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. The International Conference on Learning Analytics and Knowledge (LAK), 2022. (Full paper)
Lele Sha, Mladen Raković, Alexander Whitelock-Wainwright, David Carroll, Victoria M. Yew, Dragan Gašević, Guanliang Chen. Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts. The International Conference on Artificial Intelligence in Education (AIED), 2021. (Full paper) [PDF]
Lele Sha, Mladen Raković, Yuheng Li, Alexander Whitelock-Wainwright, David Carroll, Dragan Gašević, Guanliang Chen. Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts. The International Conference on Educational Data Mining (EDM), 2021. (Full paper) [PDF]
Jionghao Lin, David Lang, Haoran Xie, Dragan Gašević, Guanliang Chen. Investigating the Role of Politeness in Human-Human Online Tutoring. The International Conference on Artificial Intelligence in Education (AIED), 2020. (Short paper) [PDF]
Guanliang Chen, Vitor Rolim, Rafael Ferreira Mello, Dragan Gašević. Let’s Shine Together! A Comparative Study between Learning Analytics and Educational Data Mining. The International Conference on Learning Analytics and Knowledge (LAK), 2020. (Full paper) [PDF]
Máverick Ferreira, Vitor Rolim, Rafael Ferreira Mello, Rafael Lins, Guanliang Chen, Dragan Gašević. Towards Automatic Content Analysis of Social Presence in Transcripts of Online Discussions. The International Conference on Learning Analytics and Knowledge (LAK), 2020. (Full paper) [PDF]
David Lang, Guanliang Chen, Kathy Mirzaei, Andreas Paepcke. Is Faster Better? A Study of Video Playback Speed. The International Conference on Learning Analytics and Knowledge (LAK), 2020. (Full paper) [PDF]
Guanliang Chen, Jie Yang, Dragan Gašević. A Comparative Study on Question-worthy Sentence Selection Strategies for Educational Question Generation. The International Conference on Artificial Intelligence in Education (AIED), 2019. (Full paper) [PDF]
Guanliang Chen, David Lang, Rafael Ferreira Mello, Dragan Gašević. Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues. The International Conference on Educational Data Mining (EDM), 2019. (Full paper) [PDF]
Guanliang Chen, Jie Yang, Claudia Hauff and Geert-Jan Houben. LearningQ: A Large-scale Dataset for Educational Question Generation. The AAAI Conference on Web and Social Media (ICWSM), 2018. (Dataset full paper) [PDF]
Sepideh Mesbah, Guanliang Chen, Manuel Valle Torre, Alessandro Bozzon, Christoph Lofi, Geert-Jan Houben. Concept Focus: Semantic Meta-Data for Describing MOOC Content. The 13th European Conference on Technology Enhanced Learning (EC-TEL), 2018.
Yingying Bao, Guanliang Chen, Claudia Hauff. On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning. The International Conference on Educational Data Mining (EDM), 2017. (Short paper) [PDF]
Dan Davis, Ioana Jivet, René F. Kizilcec, Guanliang Chen, Claudia Hauff, Geert-Jan Houben. Follow the Successful Crowd: Raising MOOC Completion Rates through Social Comparison at Scale. The International Conference on Learning Analytics and Knowledge (LAK), 2017. [PDF]
Dan Davis, Guanliang Chen, Tim van der Zee, Claudia Hauff, Geert-Jan Houben. Retrieval Practice and Study Planning in MOOCs: Exploring Classroom-Based Self-Regulated Learning Strategies at Scale. The European Conference on Technology-Enhanced Learning (EC-TEL), 2016. [Best Student Paper Award] [PDF]
Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben. On the Impact of Personality in Massive Open Online Learning. The ACM International Conference on User Modeling, Adaptation and Personalization (UMAP), 2016. [PDF] [Slides]
Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben. Gauging MOOC Learners’ Adherence to the Designed Learning Path.] The International Conference on Educational Data Mining (EDM), 2016. [PDF]
Guanliang Chen, Dan Davis, Jun Lin, Claudia Hauff, Geert-Jan Houben. Beyond the MOOC platform: Gaining Insights aboutLearners from the Social Web. The ACM Conference on Web Science (WebSci), 2016. [PDF] [Slides]
Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben. Learning Transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice. The ACM Conference on Learning at Scale (L@S), 2016. [Best Student Paper Nominee] [PDF]
Guanliang Chen and Li Chen. Recommendation Based on Contextual Opinions. The International Conference on User Modelling, Adaption and Personalization (UMAP), 2014. [Best Student Paper Nominee] [PDF]
– Editorial Contribution –
Guanliang Chen, Di Zou, and Gary Cheng. Special Issue on Intelligent Language Acquisition in the Mobile Era. International Journal of Mobile Learning and Organisation, 2022.
Chaoyi Pang, Yunjun Gao, Guanliang Chen, Elvira Popescu, Lu Chen, Tianyong Hao, Bailing Zhang, Silvia Margarita Baldiris Navarro, Qing Li. Proceedings of 19th International Conference on Web-Based Learning (ICWL 2020) and 5th International Symposium on Emerging Technologies for Education (SETE 2020), 2020. [PDF]
Elle Wang, Dan Davis, Guanliang Chen, Luc Paquette. Workshop on Integrated Learning Analytics of MOOC Post-Course Development. The International Conference on Learning Analytics and Knowledge (LAK), 2017. [PDF]
– Workshops & Posters & Others –
Jionghao Lin, Lele Sha, Yuheng Li, Dragan Gasevic, Guanliang Chen. Establishing Trustworthy Artificial Intelligence in Automated Feedback. In the AIED 2022 Workshop on Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking.
Ikenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti, Dragan Gašević. Towards automated content analysis of feedback: A multi-language study. International Conference on Educational Data Mining (EDM), 2021.
Guanliang Chen, Claudia Hauff, Geert-Jan Houben. Feature Engineering for Second Language Acquisition Modeling. Workshop on Innovative Use of NLP for Building Educational Applications, co-located with The North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HTL), 2018. [PDF]
Yue Zhao, Dan Davis, Guanliang Chen, Christoph Lofi, Claudia Hauff, Geert-Jan Houben. Certificate Achievement Unlocked: Exploring MOOC Learners’ Behaviour Before & After Passing. The ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2017. [PDF]
Guanliang Chen, Dan Davis, Markus Krause, Claudia Hauff, Geert-Jan Houben. Buying Time: Enabling Learners to become Earners with a Real-World Paid Task Recommender System. The International Conference on Learning Analytics and Knowledge (LAK), 2017. [PDF]
Dan Davis, Guanliang Chen, Ioana Jivet, Claudia Hauff, Geert-Jan Houben. Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback. Workshop on Learning Analytics for Learners, 2016. [PDF]
Jian Chen, Guanliang Chen, Haolan Zhang, Jin Huang, Gansen Zhao. Social Recommendation Based on Multi-relational Analysis. The IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012. [PDF]