Guanliang Chen

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 81

Top Topics

Learning Strategies

Boundary Detection

Comparative Study

Top Venues

Publications

Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Lyn Lim, Joep van der Graaf, Johanna D. Moore, Inge Molenaar, Maria Bannert, Alexander Whitelock-Wainwright, Dragan Gasevic
Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach. Br. J. Educ. Technol. 55 (4) (2024)
Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Gasevic, Guanliang Chen
Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts. CoRR (2024)
Lin Li, Namrata Srivastava, Jia Rong, Gina Pianta, Raju Varanasi, Dragan Gasevic, Guanliang Chen
Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. LAK (2024)
Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. AAAI (2024)
Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. CoRR (2024)
Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki
Evidence-centered Assessment for Writing with Generative AI. LAK (2024)
Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki
Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes. LAK (2024)
Gloria Milena Fernández Nieto, Zachari Swiecki, Yi-Shan Tsai, Lele Sha, Yinwei Wei, Jim Wen, Yuheng Li, Yueqiao Jin, Iván Silva Feraud, Yuan-Fang Li, Weiqing Wang, Guanliang Chen, Dragan Gasevic
Co-designing a knowledge management tool for educator communities of practice. Conference on Designing Interactive Systems (2024)
Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen
Generating Privacy-preserving Educational Data Records with Diffusion Model. WWW (Companion Volume) (2024)
Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki
Evidence-centered Assessment for Writing with Generative AI. CoRR (2024)
Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. 17 (2024)
Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic
Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing. LAK (2024)
Zhiping Liang, Zijie Zeng, Gloria Fernández-Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Zachari Swiecki, Dragan Gasevic, John Bradley, Lele Sha
Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language. LAK Workshops (2024)
Jionghao Lin, Mladen Rakovic, Yuheng Li, Haoran Xie, David Lang, Dragan Gasevic, Guanliang Chen
On the role of politeness in online human-human tutoring. Br. J. Educ. Technol. 55 (1) (2024)
Mladen Rakovic, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martínez-Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic
Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. LAK (2024)
Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education. AAAI (2024)
Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martínez-Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, Dragan Gasevic
Practical and ethical challenges of large language models in education: A systematic scoping review. Br. J. Educ. Technol. 55 (1) (2024)
Zhiping Liang, Lele Sha, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen
Towards the Automated Generation of Readily Applicable Personalised Feedback in Education. AIED (2) (2024)
Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Rakovic, Zachari Swiecki, Dragan Gasevic, Guanliang Chen
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing. CoRR (2024)
Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo
KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. CIKM (2023)
Guoxiong Wei, Zhenyu He, Quanlong Guan, Liangda Fang, Weiqi Luo, Guanliang Chen
NCDFSA: Neural Cognitive Diagnostic Focusing on Students' Attention to Knowledge Concepts. SMC (2023)
Haoyu Kong, Jia Rong, Chris Bain, Xinyu Zhang, Sarah Parsons, Guanliang Chen, Richard Bassed
Pericardial Effusion Detection on Post-Mortem Computed Tomography Images Using Convolutional Neural Networks. MedInfo (2023)
Wei Dai, Jionghao Lin, Hua Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen
Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. ICALT (2023)
Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen
Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. AIED (2023)
Lele Sha, Dragan Gasevic, Guanliang Chen
Lessons from debiasing data for fair and accurate predictive modeling in education. Expert Syst. Appl. 228 (2023)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED (2023)
Lele Sha, Mladen Rakovic, Jionghao Lin, Quanlong Guan, Alexander Whitelock-Wainwright, Dragan Gasevic, Guanliang Chen
Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. IEEE Trans. Learn. Technol. 16 (3) (2023)
Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani, Dragan Gasevic
Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom's Taxonomy. LAK (2023)
Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng
Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. Educ. Inf. Technol. 28 (2) (2023)
Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Rakovic, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen
Can large language models write reflectively. Comput. Educ. Artif. Intell. 4 (2023)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR (2023)
Lele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen
The Road Not Taken: Preempting Dropout in MOOCs. AIED (2023)
Hajra Waheed, Saeed-Ul Hassan, Raheel Nawaz, Naif R. Aljohani, Guanliang Chen, Dragan Gasevic
Early prediction of learners at risk in self-paced education: A neural network approach. Expert Syst. Appl. 213 (Part) (2023)
Yan Wang, Yunzhou Dong, Guanliang Chen, Jingze Li, Zhengdong Lin, Yingkun Liao, Peng Lin
Virtual Network Fault Management Platform and Mechanism based on Big Data. BMSB (2023)
Detai Pan, Yunzhou Dong, Minglu Qi, Qiujia Fu, Zhengdong Lin, Guanliang Chen, Yingkun Liao, Peng Lin
Fault Management Platform based on Knowledge Graph in Network Slicing Environment. BMSB (2023)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED (2023)
Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martínez Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, Dragan Gasevic
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Literature Review. CoRR (2023)
Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen
Towards Automatic Boundary Detection for Human-AI Hybrid Essay in Education. CoRR (2023)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR (2023)
Lin Li, Lele Sha, Yuheng Li, Mladen Rakovic, Jia Rong, Srecko Joksimovic, Neil Selwyn, Dragan Gasevic, Guanliang Chen
Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education. LAK (2023)
Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen
Learner-centred Analytics of Feedback Content in Higher Education. LAK (2023)
Zijie Zeng, Dragan Gasevic, Guanliang Chen
On the Effectiveness of Curriculum Learning in Educational Text Scoring. AAAI (2023)
Lin Li, Weike Pan, Guanliang Chen, Zhong Ming
DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN (2022)
Lele Sha, Yuheng Li, Dragan Gasevic, Guanliang Chen
Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification. COLING (2022)
Lele Sha, Mladen Rakovic, Angel Das, Dragan Gasevic, Guanliang Chen
Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education. IEEE Trans. Learn. Technol. 15 (4) (2022)
Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen
Popularity Prediction in MOOCs: A Case Study on Udemy. AIED (1) (2022)
Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gasevic, Guanliang Chen
Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues. Future Gener. Comput. Syst. 127 (2022)
Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martínez Maldonado, Shazia Wasim Sadiq, Dragan Gasevic
Explainable Artificial Intelligence in education. Comput. Educ. Artif. Intell. 3 (2022)
Mladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic, Guanliang Chen
Towards the Automated Evaluation of Legal Casenote Essays. AIED (1) (2022)
Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic, Guanliang Chen
Automatic Classification of Learning Objectives Based on Bloom's Taxonomy. EDM (2022)
Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen
Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. LAK (2022)
Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen
Measuring Inconsistency in Written Feedback: A Case Study in Politeness. AIED (1) (2022)
Zijie Zeng, Xinyu Li, Dragan Gasevic, Guanliang Chen
Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring? NAACL-HLT (2022)
Ikenna Osakwe, Guanliang Chen, Alexander Whitelock-Wainwright, Dragan Gasevic, Anderson Pinheiro Cavalcanti, Rafael Ferreira Mello
Towards automated content analysis of educational feedback: A multi-language study. Comput. Educ. Artif. Intell. 3 (2022)
Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic
Assessment in the age of artificial intelligence. Comput. Educ. Artif. Intell. 3 (2022)
Ikenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti, Dragan Gasevic
Towards automated content analysis of feedback: A multi-language study. EDM (2021)
Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic, Guanliang Chen
Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts. EDM (2021)
Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Victoria M. Yew, Dragan Gasevic, Guanliang Chen
Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts. AIED (1) (2021)
Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou
Understanding MOOC Reviews: Text Mining using Structural Topic Model. Hum. Centric Intell. Syst. 1 (3-4) (2021)
Lixiang Yan, Alexander Whitelock-Wainwright, Quanlong Guan, Gangxin Wen, Dragan Gasevic, Guanliang Chen
Students' experience of online learning during the COVID-19 pandemic: A province-wide survey study. Br. J. Educ. Technol. 52 (5) (2021)
Jionghao Lin, David Lang, Haoran Xie, Dragan Gasevic, Guanliang Chen
Investigating the Role of Politeness in Human-Human Online Tutoring. AIED (2) (2020)
Maverick Andre Dionisio Ferreira, Vitor Rolim, Rafael Ferreira Mello, Rafael Dueire Lins, Guanliang Chen, Dragan Gasevic
Towards automatic content analysis of social presence in transcripts of online discussions. LAK (2020)
Guanliang Chen, Vitor Rolim, Rafael Ferreira Mello, Dragan Gasevic
Let's shine together!: a comparative study between learning analytics and educational data mining. LAK (2020)
Guanliang Chen, David Lang, Rafael Ferreira, Dragan Gasevic
Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues. EDM (2019)
Guanliang Chen, Jie Yang, Dragan Gasevic
A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. AIED (1) (2019)
Guanliang Chen, Dan Davis, Markus Krause, Efthimia Aivaloglou, Claudia Hauff, Geert-Jan Houben
From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place. IEEE Trans. Learn. Technol. 11 (2) (2018)
Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben
LearningQ: A Large-Scale Dataset for Educational Question Generation. ICWSM (2018)
Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben
Activating learning at scale: A review of innovations in online learning strategies. Comput. Educ. 125 (2018)
Sepideh Mesbah, Guanliang Chen, Manuel Valle Torre, Alessandro Bozzon, Christoph Lofi, Geert-Jan Houben
Concept Focus: Semantic Meta-Data for Describing MOOC Content. EC-TEL (2018)
Guanliang Chen, Claudia Hauff, Geert-Jan Houben
Feature Engineering for Second Language Acquisition Modeling. BEA@NAACL-HLT (2018)
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. LAK (2017)
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. LAK (2017)
Yingying Bao, Guanliang Chen, Claudia Hauff
On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning. EDM (2017)
Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette
Workshop on integrated learning analytics of MOOC post-course development. LAK (2017)
Yue Zhao, Dan Davis, Guanliang Chen, Christoph Lofi, Claudia Hauff, Geert-Jan Houben
Certificate Achievement Unlocked: How Does MOOC Learners' Behaviour Change? UMAP (Adjunct Publication) (2017)
Dan Davis, Guanliang Chen, Ioana Jivet, Claudia Hauff, Geert-Jan Houben
Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback. LAL@LAK (2016)
Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben
On the Impact of Personality in Massive Open Online Learning. UMAP (2016)
Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben
Gauging MOOC Learners' Adherence to the Designed Learning Path. EDM (2016)
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. L@S (2016)
Guanliang Chen, Dan Davis, Jun Lin, Claudia Hauff, Geert-Jan Houben
Beyond the MOOC platform: gaining insights about learners from the social web. WebSci (2016)
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. EC-TEL (2016)
Guanliang Chen, Li Chen
Augmenting service recommender systems by incorporating contextual opinions from user reviews. User Model. User Adapt. Interact. 25 (3) (2015)
Li Chen, Guanliang Chen, Feng Wang
Recommender systems based on user reviews: the state of the art. User Model. User Adapt. Interact. 25 (2) (2015)
Guanliang Chen, Li Chen
Recommendation Based on Contextual Opinions. UMAP (2014)
Jian Chen, Guanliang Chen, Hao Lan Zhang, Jin Huang, Gansen Zhao
Social Recommendation Based on Multi-relational Analysis. IAT (2012)