Guanliang Chen

According to our database, Guanliang Chen authored at least 76 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Practical and ethical challenges of large language models in education: A systematic scoping review.

Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martínez-Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, Dragan Gasevic

Br. J. Educ. Technol., January, 2024

On the role of politeness in online human-human tutoring.

Jionghao Lin, Mladen Rakovic, Yuheng Li, Haoran Xie, David Lang, Dragan Gasevic, Guanliang Chen

Br. J. Educ. Technol., January, 2024

Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness.

Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen

IEEE Trans. Learn. Technol., 2024

Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts.

Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Gasevic, Guanliang Chen

CoRR, 2024

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 Martínez-Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language.

Zhiping Liang, Zijie Zeng, Gloria Fernández-Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Zachari Swiecki, Dragan Gasevic, John Bradley, Lele Sha

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 2024

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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes.

Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Evidence-centered Assessment for Writing with Generative AI.

Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education.

Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Lessons from debiasing data for fair and accurate predictive modeling in education.

Lele Sha, Dragan Gasevic, Guanliang Chen

Expert Syst. Appl., October, 2023

Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts.

Lele Sha, Mladen Rakovic, Jionghao Lin, Quanlong Guan, Alexander Whitelock-Wainwright, Dragan Gasevic, Guanliang Chen

IEEE Trans. Learn. Technol., June, 2023

Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences.

Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng

Educ. Inf. Technol., February, 2023

Early prediction of learners at risk in self-paced education: A neural network approach.

Hajra Waheed, Saeed-Ul Hassan, Raheel Nawaz, Naif R. Aljohani, Guanliang Chen, Dragan Gasevic

Expert Syst. Appl., 2023

Towards Automatic Boundary Detection for Human-AI Hybrid Essay in Education.

Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen

CoRR, 2023

Practical and Ethical Challenges of Large Language Models in Education: A Systematic Literature Review.

Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martínez Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, Dragan Gasevic

CoRR, 2023

Can large language models write reflectively.

Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Rakovic, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen

Comput. Educ. Artif. Intell., 2023

NCDFSA: Neural Cognitive Diagnostic Focusing on Students' Attention to Knowledge Concepts.

Guoxiong Wei, Zhenyu He, Quanlong Guan, Liangda Fang, Weiqi Luo, Guanliang Chen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Pericardial Effusion Detection on Post-Mortem Computed Tomography Images Using Convolutional Neural Networks.

Haoyu Kong, Jia Rong, Chris Bain, Xinyu Zhang, Sarah Parsons, Guanliang Chen, Richard Bassed

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

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

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation.

Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Virtual Network Fault Management Platform and Mechanism based on Big Data.

Yan Wang, Yunzhou Dong, Guanliang Chen, Jingze Li, Zhengdong Lin, Yingkun Liao, Peng Lin

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

Fault Management Platform based on Knowledge Graph in Network Slicing Environment.

Detai Pan, Yunzhou Dong, Minglu Qi, Qiujia Fu, Zhengdong Lin, Guanliang Chen, Yingkun Liao, Peng Lin

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

Generalizable Automatic Short Answer Scoring via Prototypical Neural Network.

Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

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

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

The Road Not Taken: Preempting Dropout in MOOCs.

Lele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

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

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

On the Effectiveness of Curriculum Learning in Educational Text Scoring.

Zijie Zeng, Dragan Gasevic, Guanliang Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education.

Lele Sha, Mladen Rakovic, Angel Das, Dragan Gasevic, Guanliang Chen

IEEE Trans. Learn. Technol., 2022

Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues.

Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gasevic, Guanliang Chen

Future Gener. Comput. Syst., 2022

Assessment in the age of artificial intelligence.

Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic

Comput. Educ. Artif. Intell., 2022

Towards automated content analysis of educational feedback: A multi-language study.

Ikenna Osakwe, Guanliang Chen, Alexander Whitelock-Wainwright, Dragan Gasevic, Anderson Pinheiro Cavalcanti, Rafael Ferreira Mello

Comput. Educ. Artif. Intell., 2022

Explainable Artificial Intelligence in education.

Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martínez Maldonado, Shazia Wasim Sadiq, Dragan Gasevic

Comput. Educ. Artif. Intell., 2022

Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring?

Zijie Zeng, Xinyu Li, Dragan Gasevic, Guanliang Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues.

Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

DeepSet: Deep Learning-based Recommendation with Setwise Preference.

Lin Li, Weike Pan, Guanliang Chen, Zhong Ming

Proceedings of the International Joint Conference on Neural Networks, 2022

Automatic Classification of Learning Objectives Based on Bloom's Taxonomy.

Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic, Guanliang Chen

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification.

Lele Sha, Yuheng Li, Dragan Gasevic, Guanliang Chen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards the Automated Evaluation of Legal Casenote Essays.

Mladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Popularity Prediction in MOOCs: A Case Study on Udemy.

Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Measuring Inconsistency in Written Feedback: A Case Study in Politeness.

Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Understanding MOOC Reviews: Text Mining using Structural Topic Model.

Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou

Hum. Centric Intell. Syst., 2021

Students' experience of online learning during the COVID-19 pandemic: A province-wide survey study.

Lixiang Yan, Alexander Whitelock-Wainwright, Quanlong Guan, Gangxin Wen, Dragan Gasevic, Guanliang Chen

Br. J. Educ. Technol., 2021

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

Proceedings of the 14th International Conference on Educational Data Mining, 2021

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

Proceedings of the 14th International Conference on Educational Data Mining, 2021

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

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

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

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Let's shine together!: a comparative study between learning analytics and educational data mining.

Guanliang Chen, Vitor Rolim, Rafael Ferreira Mello, Dragan Gasevic

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Investigating the Role of Politeness in Human-Human Online Tutoring.

Jionghao Lin, David Lang, Haoran Xie, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues.

Guanliang Chen, David Lang, Rafael Ferreira, Dragan Gasevic

Proceedings of the 12th International Conference on Educational Data Mining, 2019

A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation.

Guanliang Chen, Jie Yang, Dragan Gasevic

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place.

Guanliang Chen, Dan Davis, Markus Krause, Efthimia Aivaloglou, Claudia Hauff, Geert-Jan Houben

IEEE Trans. Learn. Technol., 2018

Activating learning at scale: A review of innovations in online learning strategies.

Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben

Comput. Educ., 2018

LearningQ: A Large-Scale Dataset for Educational Question Generation.

Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Concept Focus: Semantic Meta-Data for Describing MOOC Content.

Sepideh Mesbah, Guanliang Chen, Manuel Valle Torre, Alessandro Bozzon, Christoph Lofi, Geert-Jan Houben

Proceedings of the Lifelong Technology-Enhanced Learning, 2018

Feature Engineering for Second Language Acquisition Modeling.

Guanliang Chen, Claudia Hauff, Geert-Jan Houben

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

2017

Certificate Achievement Unlocked: How Does MOOC Learners' Behaviour Change?

Yue Zhao, Dan Davis, Guanliang Chen, Christoph Lofi, Claudia Hauff, Geert-Jan Houben

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Workshop on integrated learning analytics of MOOC post-course development.

Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Follow the successful crowd: raising MOOC completion rates through social comparison at scale.

Dan Davis, Ioana Jivet, René F. Kizilcec, Guanliang Chen, Claudia Hauff, Geert-Jan Houben

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

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

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning.

Yingying Bao, Guanliang Chen, Claudia Hauff

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

Beyond the MOOC platform: gaining insights about learners from the social web.

Guanliang Chen, Dan Davis, Jun Lin, Claudia Hauff, Geert-Jan Houben

Proceedings of the 8th ACM Conference on Web Science, 2016

On the Impact of Personality in Massive Open Online Learning.

Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Learning Transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice.

Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback.

Dan Davis, Guanliang Chen, Ioana Jivet, Claudia Hauff, Geert-Jan Houben

Proceedings of the LAK 2016 Workshop on Learning Analytics for Learners, 2016

Gauging MOOC Learners' Adherence to the Designed Learning Path.

Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Retrieval Practice and Study Planning in MOOCs: Exploring Classroom-Based Self-regulated Learning Strategies at Scale.

Dan Davis, Guanliang Chen, Tim Van der Zee, Claudia Hauff, Geert-Jan Houben

Proceedings of the Adaptive and Adaptable Learning, 2016

2015

Recommender systems based on user reviews: the state of the art.

Li Chen, Guanliang Chen, Feng Wang

User Model. User Adapt. Interact., 2015

Augmenting service recommender systems by incorporating contextual opinions from user reviews.

Guanliang Chen, Li Chen

User Model. User Adapt. Interact., 2015

2014

Recommendation Based on Contextual Opinions.

Guanliang Chen, Li Chen

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

2012

Social Recommendation Based on Multi-relational Analysis.

Jian Chen, Guanliang Chen, Hao Lan Zhang, Jin Huang, Gansen Zhao

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012