Guanliang Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
57
Venues
13
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
57 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIED | Three Paths to Adaptation: Temporal Profiles of Self-Regulated Learning with Generative AI Support. | Saleh Ramadhan Alghamdi, Mladen Rakovic, Yizhou Fan, Guanliang Chen, Kaixun Yang, Xinyu Li, Dragan Gasevic |
| 2026 | AIED | From Writing Traces to Personalised Support: Guiding LLMs with Stylometric Fingerprints. | Di Wu, Kamila Misiejuk, Sonsoles Lpez-Pernas, Guanliang Chen, Mohammed Saqr, Eduardo Oliveira |
| 2026 | AIED | Predicting the Finish Before the Draft Ends: Continuous Forecasting of Writing Performance from Process Traces. | Kaixun Yang, Jiameng Wei, Zhiping Liang, Mladen Rakovic, Eduardo Oliveira, Dragan Gasevic, Guanliang Chen |
| 2026 | AIED | How Teacher-Expert Collaboration Shapes the Quality of AI-Supported Scientific Inquiry Learning. | Xiaofei Zhou, Jiameng Wei, Clayton Cohn, Gautam Biswas, Guanliang Chen, Zhen Bai |
| 2026 | LAK | From Formal Learning to Professional Practice: Automated LLM-based Coding and Visualisation of Team Dialogue in in-situ Healthcare Simulation. | Sachini Samaraweera, Linxuan Zhao, Vanessa Echeverra, Riordan Alfredo, Guanliang Chen, Joy Davis, Sheravika Leonny, Samantha Sevenhuysen, Clifford Connell, Dragan Gasevic, Roberto Martnez-Maldonado, Anuja T. Dharmaratne |
| 2026 | LAK | Uncovering Students' Inquiry Patterns in GenAI-Supported Clinical Practice: An Integration of Epistemic Network Analysis and Sequential Pattern Mining. | Jiameng Wei, Dinh Khanh Dang, Kaixun Yang, Emily Stokes, Amna Mazeh, Angelina Lim, David Wei Dai, Joel Moore, Yizhou Fan, Danijela Gasevic, Dragan Gasevic, Guanliang Chen |
| 2025 | AIED | Does the Prompt-Based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? | Kaixun Yang, Mladen Rakovic, Dragan Gasevic, Guanliang Chen |
| 2025 | COLING | KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration. | Quanlong Guan, Xiuliang Duan, Kaiquan Bian, Guanliang Chen, Jianbo Huang, Zhiguo Gong, Liangda Fang |
| 2025 | IUI | ShareFlows: Seamless Knowledge Capture and Proactive Push for Efficient Teacher Workflows in Higher Education. | Lele Sha, Gloria Milena Fernndez Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Jim Wen, Shaveen Singh, Ivn Silva Feraud, Dragan Gasevic, Zachari Swiecki |
| 2025 | LAK | Analytics of Temporal Patterns of Self-regulated Learners: A Time Series Approach. | Saleh Ramadhan Alghamdi, Mladen Rakovic, Kaixun Yang, Yizhou Fan, Dragan Gasevic, Guanliang Chen |
| 2025 | LAK | The Company You Keep: Refining Neural Epistemic Network Analysis. | Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki |
| 2025 | LAK | Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality. | Kaixun Yang, Mladen Rakovic, Zhiping Liang, Lixiang Yan, Zijie Zeng, Yizhou Fan, Dragan Gasevic, Guanliang Chen |
| 2025 | LAK | Enhancing Motivation and Learning in Primary School History Classrooms: The Impact of Virtual Reality. | Lina Zhong, Weijie Lang, Jia Rong, Guanliang Chen, Miao Fan |
| 2024 | AAAI | Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. | Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen |
| 2024 | AAAI | Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education. | Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen |
| 2024 | AIED | Towards the Automated Generation of Readily Applicable Personalised Feedback in Education. | Zhiping Liang, Lele Sha, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen |
| 2024 | LAK | Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. | Lin Li, Namrata Srivastava, Jia Rong, Gina Pianta, Raju Varanasi, Dragan Gasevic, Guanliang Chen |
| 2024 | LAK | Evidence-centered Assessment for Writing with Generative AI. | Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki |
| 2024 | LAK | Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes. | Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki |
| 2024 | LAK | Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing. | Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic |
| 2024 | LAK | Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language. | Zhiping Liang, Zijie Zeng, Gloria Fernndez-Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Zachari Swiecki, Dragan Gasevic, John Bradley, Lele Sha |
| 2024 | LAK | Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. | Mladen Rakovic, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martnez Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic |
| 2024 | WWW | Generating Privacy-preserving Educational Data Records with Diffusion Model. | Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen |
| 2023 | AAAI | On the Effectiveness of Curriculum Learning in Educational Text Scoring. | Zijie Zeng, Dragan Gasevic, Guanliang Chen |
| 2023 | AIED | Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. | Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic |
| 2023 | AIED | The Road Not Taken: Preempting Dropout in MOOCs. | Lele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen |
| 2023 | AIED | Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. | Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine |
| 2023 | AIED | Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. | Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen |
| 2023 | CIKM | KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. | Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo |
| 2023 | ICALT | Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. | Wei Dai, Jionghao Lin, Hua Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen |
| 2023 | LAK | Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education. | Lin Li, Lele Sha, Yuheng Li, Mladen Rakovic, Jia Rong, Srecko Joksimovic, Neil Selwyn, Dragan Gasevic, Guanliang Chen |
| 2023 | LAK | Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom's Taxonomy. | Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani, Dragan Gasevic |
| 2023 | LAK | Learner-centred Analytics of Feedback Content in Higher Education. | Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen |
| 2023 | SMC | NCDFSA: Neural Cognitive Diagnostic Focusing on Students' Attention to Knowledge Concepts. | Guoxiong Wei, Zhenyu He, Quanlong Guan, Liangda Fang, Weiqi Luo, Guanliang Chen |
| 2022 | AIED | Measuring Inconsistency in Written Feedback: A Case Study in Politeness. | Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen |
| 2022 | AIED | Popularity Prediction in MOOCs: A Case Study on Udemy. | Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen |
| 2022 | AIED | Towards the Automated Evaluation of Legal Casenote Essays. | Mladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic, Guanliang Chen |
| 2022 | COLING | Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification. | Lele Sha, Yuheng Li, Dragan Gasevic, Guanliang Chen |
| 2022 | EDM | Automatic Classification of Learning Objectives Based on Bloom's Taxonomy. | Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic, Guanliang Chen |
| 2022 | IJCNN | DeepSet: Deep Learning-based Recommendation with Setwise Preference. | Lin Li, Weike Pan, Guanliang Chen, Zhong Ming |
| 2022 | LAK | Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. | Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen |
| 2022 | NAACL | Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring? | Zijie Zeng, Xinyu Li, Dragan Gasevic, Guanliang Chen |
| 2021 | AIED | Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts. | Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Victoria M. Yew, Dragan Gasevic, Guanliang Chen |
| 2021 | EDM | Towards automated content analysis of feedback: A multi-language study. | Ikenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti, Dragan Gasevic |
| 2021 | EDM | Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts. | Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic, Guanliang Chen |
| 2020 | AIED | Investigating the Role of Politeness in Human-Human Online Tutoring. | Jionghao Lin, David Lang, Haoran Xie, Dragan Gasevic, Guanliang Chen |
| 2020 | LAK | Let's shine together!: a comparative study between learning analytics and educational data mining. | Guanliang Chen, Vitor Rolim, Rafael Ferreira Mello, Dragan Gasevic |
| 2020 | LAK | Towards automatic content analysis of social presence in transcripts of online discussions. | Maverick Andre Dionisio Ferreira, Vitor Rolim, Rafael Ferreira Mello, Rafael Dueire Lins, Guanliang Chen, Dragan Gasevic |
| 2019 | AIED | A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. | Guanliang Chen, Jie Yang, Dragan Gasevic |
| 2019 | EDM | Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues. | Guanliang Chen, David Lang, Rafael Ferreira, Dragan Gasevic |
| 2018 | ICWSM | LearningQ: A Large-Scale Dataset for Educational Question Generation. | Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben |
| 2017 | EDM | On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning. | Yingying Bao, Guanliang Chen, Claudia Hauff |
| 2017 | LAK | Buying time: enabling learners to become earners with a real-world paid task recommender system. | Guanliang Chen, Dan Davis, Markus Krause, Claudia Hauff, Geert-Jan Houben |
| 2017 | LAK | Follow the successful crowd: raising MOOC completion rates through social comparison at scale. | Dan Davis, Ioana Jivet, Ren F. Kizilcec, Guanliang Chen, Claudia Hauff, Geert-Jan Houben |
| 2017 | LAK | Workshop on integrated learning analytics of MOOC post-course development. | Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette |
| 2016 | EDM | Gauging MOOC Learners' Adherence to the Designed Learning Path. | Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben |
| 2016 | LAK | Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback. | Dan Davis, Guanliang Chen, Ioana Jivet, Claudia Hauff, Geert-Jan Houben |