Guanliang Chen

122 papers A* 4A 30B 14Journal 54Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dataset of GenAI-Assisted Information Problem Solving in Education. CoRR Xinyu Li, Kaixun Yang, Jiameng Wei, Yixin Cheng, Dragan Gasevic, Guanliang Chen
2026	A	`conf`	From Formal Learning to Professional Practice: Automated LLM-based Coding and Visualisation of Team Dialogue in in-situ Healthcare Simulation. LAK Sachini Samaraweera, Linxuan Zhao, Vanessa Echeverría, Riordan Alfredo, Guanliang Chen, Joy Davis, Sheravika Leonny, Samantha Sevenhuysen, Clifford Connell, Dragan Gasevic, Roberto Martínez-Maldonado, Anuja T. Dharmaratne
2026	J	`jnl`	Leveraging prompt-based LLMs for automated scoring and feedback generation in higher education. Comput. Educ. Eman Mudhi Alghamdi, Yuheng Li, Dragan Gasevic, Guanliang Chen
2026	A	`conf`	Uncovering Students' Inquiry Patterns in GenAI-Supported Clinical Practice: An Integration of Epistemic Network Analysis and Sequential Pattern Mining. LAK 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	J	`jnl`	Analytics of Learner-Centered Feedback: A Large-Scale Case Study in Higher Education. Comput. Educ. Ahmad Ari Aldino, Yi-Shan Tsai, Siddarth Gupte, Michael Henderson, Debarshi Nath, Dragan Gasevic, Guanliang Chen
2025	A	`conf`	Analytics of Temporal Patterns of Self-regulated Learners: A Time Series Approach. LAK Saleh Ramadhan Alghamdi, Mladen Rakovic, Kaixun Yang, Yizhou Fan, Dragan Gasevic, Guanliang Chen
2025	J	`jnl`	Asking generative artificial intelligence the right questions improves writing performance. Comput. Educ. Artif. Intell. Yixin Cheng, Yizhou Fan, Xinyu Li, Guanliang Chen, Dragan Gasevic, Zachari Swiecki
2025	J	`jnl`	Beyond Self-Regulated Learning Processes: Unveiling Hidden Tactics in Generative AI-Assisted Writing. CoRR Kaixun Yang, Yizhou Fan, Luzhen Tang, Mladen Rakovic, Xinyu Li, Dragan Gasevic, Guanliang Chen
2025	J	`jnl`	Can AI support human grading? Examining machine attention and confidence in short answer scoring. Comput. Educ. Yuheng Li, Mladen Rakovic, Namrata Srivastava, Xinyu Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen
2025	J	`jnl`	Capturing and Sharing Know-How through Visual Process Representations: A Human-Centred Approach to Teacher Workflows. CoRR Gloria Fernández-Nieto, Vanessa Echeverría, Yuheng Li, Yi-Shan Tsai, Lele Sha, Guanliang Chen, Dragan Gasevic, Zachari Swiecki
2025	J	`jnl`	Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators. CoRR Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Ji-Yoon Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Gasevic
2025	—	`conf`	Does the Prompt-Based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? AIED (2) Kaixun Yang, Mladen Rakovic, Dragan Gasevic, Guanliang Chen
2025	J	`jnl`	Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? CoRR Kaixun Yang, Mladen Rakovic, Dragan Gasevic, Guanliang Chen
2025	A	`conf`	Enhancing Motivation and Learning in Primary School History Classrooms: The Impact of Virtual Reality. LAK Lina Zhong, Weijie Lang, Jia Rong, Guanliang Chen, Miao Fan
2025	J	`jnl`	Evaluating the capability of large language models in characterising relational feedback: A comparative analysis of prompting strategies. Comput. Educ. Artif. Intell. Wei Dai, Yixin Cheng, Ahmad Ari Aldino, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen
2025	J	`jnl`	Explainable exercise recommendation with knowledge graph. Neural Networks Quanlong Guan, Xinghe Cheng, Fang Xiao, Zhuzhou Li, Chaobo He, Liangda Fang, Guanliang Chen, Zhiguo Gong, Weiqi Luo
2025	J	`jnl`	GoldMind: A Teacher-Centered Knowledge Management System for Higher Education - Lessons from Iterative Design. CoRR Gloria Fernández-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Iván Silva Feraud, Yuanfang Li, Dragan Gasevic, Zachari Swiecki
2025	J	`jnl`	Graph Neural Network Empowers Intelligent Education: A Systematic Review From an Application Perspective. IEEE Trans. Learn. Technol. Chaobo He, Jian Luo, Yong Tang, Guanliang Chen, Quanlong Guan
2025	J	`jnl`	How educational chatbots support self-regulated learning? A systematic review of the literature. Educ. Inf. Technol. Rui Guan, Mladen Rakovic, Guanliang Chen, Dragan Gasevic
2025	B	`conf`	KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration. COLING Quanlong Guan, Xiuliang Duan, Kaiquan Bian, Guanliang Chen, Jianbo Huang, Zhiguo Gong, Liangda Fang
2025	J	`jnl`	Learning Analytics for Early Identification of At-Risk Students and Feedback Intervention. J. Learn. Anal. Wei Dai, Jionghao Lin, Flora Ji-Yoon Jin, Yi-Shan Tsai, Namrata Srivastava, Pierre Le Bodic, Dragan Gasevic, Guanliang Chen
2025	A	`conf`	Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality. LAK Kaixun Yang, Mladen Rakovic, Zhiping Liang, Lixiang Yan, Zijie Zeng, Yizhou Fan, Dragan Gasevic, Guanliang Chen
2025	J	`jnl`	SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research. CoRR Keyang Qian, Kaixun Yang, Wei Dai, Flora Ji-Yoon Jin, Yixin Cheng, Rui Guan, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Gasevic
2025	A	`conf`	ShareFlows: Seamless Knowledge Capture and Proactive Push for Efficient Teacher Workflows in Higher Education. IUI Lele Sha, Gloria Milena Fernández Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Jim Wen, Shaveen Singh, Iván Silva Feraud, Dragan Gasevic, Zachari Swiecki
2025	J	`jnl`	Students' Perceptions of Generative AI-Powered Learning Analytics in the Feedback Process: A Feedback Literacy Perspective. J. Learn. Anal. Flora Ji-Yoon Jin, Bhagya Maheshi, Wenhua Lai, Yuheng Li, Danijela Gasevic, Guanliang Chen, Nicola Charwat, Philip Wing Keung Chan, Roberto Martínez-Maldonado, Dragan Gasevic, Yi-Shan Tsai
2025	A	`conf`	The Company You Keep: Refining Neural Epistemic Network Analysis. LAK Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki
2025	J	`jnl`	Uncovering Students' Inquiry Patterns in GenAI-Supported Clinical Practice: An Integration of Epistemic Network Analysis and Sequential Pattern Mining. CoRR 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	J	`jnl`	When AI explains in natural language: Unveiling the impact of generative AI explanations on educators' grading and feedback practices. Educ. Inf. Technol. Yuheng Li, Zirui Shan, Mladen Rakovic, Quanlong Guan, Dragan Gasevic, Guanliang Chen
2025	J	`jnl`	When and how biases seep in: Enhancing debiasing approaches for fair educational predictive analytics. Br. J. Educ. Technol. Lin Li, Namrata Srivastava, Jia Rong, Quanlong Guan, Dragan Gasevic, Guanliang Chen
2024	J	`jnl`	Assessing the proficiency of large language models in automatic feedback generation: An evaluation study. Comput. Educ. Artif. Intell. Wei Dai, Yi-Shan Tsai, Jionghao Lin, Ahmad Ari Aldino, Hua Jin, Tongguang Li, Dragan Gasevic, Guanliang Chen
2024	A	`conf`	Co-designing a knowledge management tool for educator communities of practice. Conference on Designing Interactive Systems 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
2024	—	`conf`	Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language. LAK Workshops Zhiping Liang, Zijie Zeng, Gloria Fernández-Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Zachari Swiecki, Dragan Gasevic, John Bradley, Lele Sha
2024	J	`jnl`	Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen
2024	J	`jnl`	Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback. Comput. Educ. Artif. Intell. Ahmad Ari Aldino, Yi-Shan Tsai, Rafael Ferreira Mello, Dragan Gasevic, Guanliang Chen
2024	A	`conf`	Evidence-centered Assessment for Writing with Generative AI. LAK Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki
2024	J	`jnl`	Evidence-centered Assessment for Writing with Generative AI. CoRR Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki
2024	J	`jnl`	Fair Knowledge Tracing in Second Language Acquisition. CoRR Weitao Tang, Guanliang Chen, Shuaishuai Zu, Jiangyi Luo
2024	—	`conf`	Generating Privacy-preserving Educational Data Records with Diffusion Model. WWW (Companion Volume) Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen
2024	J	`jnl`	Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing. CoRR Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Rakovic, Zachari Swiecki, Dragan Gasevic, Guanliang Chen
2024	A	`conf`	Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. LAK 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
2024	J	`jnl`	Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality. CoRR Kaixun Yang, Mladen Rakovic, Zhiping Liang, Lixiang Yan, Zijie Zeng, Yizhou Fan, Dragan Gasevic, Guanliang Chen
2024	A	`conf`	Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes. LAK Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki
2024	J	`jnl`	On the role of politeness in online human-human tutoring. Br. J. Educ. Technol. Jionghao Lin, Mladen Rakovic, Yuheng Li, Haoran Xie, David Lang, Dragan Gasevic, Guanliang Chen
2024	J	`jnl`	Practical and ethical challenges of large language models in education: A systematic scoping review. Br. J. Educ. Technol. Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martínez Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, Dragan Gasevic
2024	A*	`conf`	Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions. ACM Multimedia Xiuliang Duan, Dating Tan, Liangda Fang, Yuyu Zhou, Chaobo He, Ziliang Chen, Lusheng Wu, Guanliang Chen, Zhiguo Gong, Weiqi Luo, Quanlong Guan
2024	A*	`conf`	Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education. AAAI Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen
2024	J	`jnl`	Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts. CoRR Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Gasevic, Guanliang Chen
2024	A	`conf`	Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing. LAK Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic
2024	J	`jnl`	Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach. Br. J. Educ. Technol. 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
2024	—	`conf`	Towards the Automated Generation of Readily Applicable Personalised Feedback in Education. AIED (2) Zhiping Liang, Lele Sha, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen
2024	A	`conf`	Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. LAK Lin Li, Namrata Srivastava, Jia Rong, Gina Pianta, Raju Varanasi, Dragan Gasevic, Guanliang Chen
2024	A*	`conf`	Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. AAAI Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen
2024	J	`jnl`	Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. CoRR Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen
2023	J	`jnl`	Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education. Comput. Educ. Artif. Intell. Yuheng Li, Mladen Rakovic, Wei Dai, Jionghao Lin, Hassan Khosravi, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen
2023	B	`conf`	Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. ICALT Wei Dai, Jionghao Lin, Hua Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen
2023	J	`jnl`	Can large language models write reflectively. Comput. Educ. Artif. Intell. Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Rakovic, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen
2023	A	`conf`	Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
2023	J	`jnl`	Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
2023	J	`jnl`	Early prediction of learners at risk in self-paced education: A neural network approach. Expert Syst. Appl. Hajra Waheed, Saeed-Ul Hassan, Raheel Nawaz, Naif R. Aljohani, Guanliang Chen, Dragan Gasevic
2023	J	`jnl`	Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. Educ. Inf. Technol. Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng
2023	—	`conf`	Fault Management Platform based on Knowledge Graph in Network Slicing Environment. BMSB Detai Pan, Yunzhou Dong, Minglu Qi, Qiujia Fu, Zhengdong Lin, Guanliang Chen, Yingkun Liao, Peng Lin
2023	A	`conf`	Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. AIED Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen
2023	J	`jnl`	Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. IEEE Trans. Learn. Technol. Lele Sha, Mladen Rakovic, Jionghao Lin, Quanlong Guan, Alexander Whitelock-Wainwright, Dragan Gasevic, Guanliang Chen
2023	A	`conf`	KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. CIKM Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo
2023	A	`conf`	Learner-centred Analytics of Feedback Content in Higher Education. LAK Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen
2023	J	`jnl`	Lessons from debiasing data for fair and accurate predictive modeling in education. Expert Syst. Appl. Lele Sha, Dragan Gasevic, Guanliang Chen
2023	A	`conf`	Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education. LAK Lin Li, Lele Sha, Yuheng Li, Mladen Rakovic, Jia Rong, Srecko Joksimovic, Neil Selwyn, Dragan Gasevic, Guanliang Chen
2023	B	`conf`	NCDFSA: Neural Cognitive Diagnostic Focusing on Students' Attention to Knowledge Concepts. SMC Guoxiong Wei, Zhenyu He, Quanlong Guan, Liangda Fang, Weiqi Luo, Guanliang Chen
2023	A*	`conf`	On the Effectiveness of Curriculum Learning in Educational Text Scoring. AAAI Zijie Zeng, Dragan Gasevic, Guanliang Chen
2023	—	`conf`	Pericardial Effusion Detection on Post-Mortem Computed Tomography Images Using Convolutional Neural Networks. MedInfo Haoyu Kong, Jia Rong, Chris Bain, Xinyu Zhang, Sarah Parsons, Guanliang Chen, Richard Bassed
2023	J	`jnl`	Practical and Ethical Challenges of Large Language Models in Education: A Systematic Literature Review. CoRR Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martínez Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, Dragan Gasevic
2023	J	`jnl`	Reinforcement learning for automatic detection of effective strategies for self-regulated learning. Comput. Educ. Artif. Intell. Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Xinyu Li, Shaveen Singh, Inge Molenaar, Maria Bannert, Dragan Gasevic
2023	A	`conf`	Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
2023	J	`jnl`	Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
2023	A	`conf`	The Road Not Taken: Preempting Dropout in MOOCs. AIED Lele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen
2023	A	`conf`	Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom's Taxonomy. LAK Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani, Dragan Gasevic
2023	J	`jnl`	Towards Automatic Boundary Detection for Human-AI Hybrid Essay in Education. CoRR Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen
2023	—	`conf`	Virtual Network Fault Management Platform and Mechanism based on Big Data. BMSB Yan Wang, Yunzhou Dong, Guanliang Chen, Jingze Li, Zhengdong Lin, Yingkun Liao, Peng Lin
2022	J	`jnl`	Assessment in the age of artificial intelligence. Comput. Educ. Artif. Intell. Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic
2022	B	`conf`	Automatic Classification of Learning Objectives Based on Bloom's Taxonomy. EDM Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic, Guanliang Chen
2022	B	`conf`	Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification. COLING Lele Sha, Yuheng Li, Dragan Gasevic, Guanliang Chen
2022	B	`conf`	DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN Lin Li, Weike Pan, Guanliang Chen, Zhong Ming
2022	—	`conf`	Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring? NAACL-HLT Zijie Zeng, Xinyu Li, Dragan Gasevic, Guanliang Chen
2022	J	`jnl`	Explainable Artificial Intelligence in education. Comput. Educ. Artif. Intell. Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martínez Maldonado, Shazia Sadiq, Dragan Gasevic
2022	A	`conf`	Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. LAK Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen
2022	J	`jnl`	Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues. Future Gener. Comput. Syst. Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gasevic, Guanliang Chen
2022	J	`jnl`	Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education. IEEE Trans. Learn. Technol. Lele Sha, Mladen Rakovic, Angel Das, Dragan Gasevic, Guanliang Chen
2022	—	`conf`	Measuring Inconsistency in Written Feedback: A Case Study in Politeness. AIED (1) Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen
2022	—	`conf`	Popularity Prediction in MOOCs: A Case Study on Udemy. AIED (1) Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen
2022	J	`jnl`	Towards automated content analysis of educational feedback: A multi-language study. Comput. Educ. Artif. Intell. Ikenna Osakwe, Guanliang Chen, Alexander Whitelock-Wainwright, Dragan Gasevic, Anderson Pinheiro Cavalcanti, Rafael Ferreira Mello
2022	—	`conf`	Towards the Automated Evaluation of Legal Casenote Essays. AIED (1) Mladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic, Guanliang Chen
2021	—	`conf`	Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts. AIED (1) Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Victoria M. Yew, Dragan Gasevic, Guanliang Chen
2021	—	`ed.`	Learning Technologies and Systems - 19th International Conference on Web-Based Learning, ICWL 2020, and 5th International Symposium on Emerging Technologies for Education, SETE 2020, Ningbo, China, October 22-24, 2020, Proceedings ICWL/SETE Chaoyi Pang, Yunjun Gao, Guanliang Chen, Elvira Popescu, Lu Chen, Tianyong Hao, Bailing Zhang, Silvia Margarita Baldiris Navarro, Qing Li
2021	J	`jnl`	Students' experience of online learning during the COVID-19 pandemic: A province-wide survey study. Br. J. Educ. Technol. Lixiang Yan, Alexander Whitelock-Wainwright, Quanlong Guan, Gangxin Wen, Dragan Gasevic, Guanliang Chen
2021	B	`conf`	Towards automated content analysis of feedback: A multi-language study. EDM Ikenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti, Dragan Gasevic
2021	J	`jnl`	Understanding MOOC Reviews: Text Mining using Structural Topic Model. Hum. Centric Intell. Syst. Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou
2021	B	`conf`	Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts. EDM Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic, Guanliang Chen
2020	—	`conf`	Investigating the Role of Politeness in Human-Human Online Tutoring. AIED (2) Jionghao Lin, David Lang, Haoran Xie, Dragan Gasevic, Guanliang Chen
2020	A	`conf`	Let's shine together!: a comparative study between learning analytics and educational data mining. LAK Guanliang Chen, Vitor Rolim, Rafael Ferreira Mello, Dragan Gasevic
2020	A	`conf`	Towards automatic content analysis of social presence in transcripts of online discussions. LAK Maverick Andre Dionisio Ferreira, Vitor Rolim, Rafael Ferreira Mello, Rafael Dueire Lins, Guanliang Chen, Dragan Gasevic
2019	—	`conf`	A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. AIED (1) Guanliang Chen, Jie Yang, Dragan Gasevic
2019	B	`conf`	Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues. EDM Guanliang Chen, David Lang, Rafael Ferreira, Dragan Gasevic
2018	J	`jnl`	Activating learning at scale: A review of innovations in online learning strategies. Comput. Educ. Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben
2018	B	`conf`	Concept Focus: Semantic Meta-Data for Describing MOOC Content. EC-TEL Sepideh Mesbah, Guanliang Chen, Manuel Valle Torre, Alessandro Bozzon, Christoph Lofi, Geert-Jan Houben
2018	—	`conf`	Feature Engineering for Second Language Acquisition Modeling. BEA@NAACL-HLT Guanliang Chen, Claudia Hauff, Geert-Jan Houben
2018	J	`jnl`	From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place. IEEE Trans. Learn. Technol. Guanliang Chen, Dan Davis, Markus Krause, Efthimia Aivaloglou, Claudia Hauff, Geert-Jan Houben
2018	A	`conf`	LearningQ: A Large-Scale Dataset for Educational Question Generation. ICWSM Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben
2017	A	`conf`	Buying time: enabling learners to become earners with a real-world paid task recommender system. LAK Guanliang Chen, Dan Davis, Markus Krause, Claudia Hauff, Geert-Jan Houben
2017	—	`conf`	Certificate Achievement Unlocked: How Does MOOC Learners' Behaviour Change? UMAP (Adjunct Publication) Yue Zhao, Dan Davis, Guanliang Chen, Christoph Lofi, Claudia Hauff, Geert-Jan Houben
2017	A	`conf`	Follow the successful crowd: raising MOOC completion rates through social comparison at scale. LAK Dan Davis, Ioana Jivet, René F. Kizilcec, Guanliang Chen, Claudia Hauff, Geert-Jan Houben
2017	B	`conf`	On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning. EDM Yingying Bao, Guanliang Chen, Claudia Hauff
2017	A	`conf`	Workshop on integrated learning analytics of MOOC post-course development. LAK Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette
2016	—	`conf`	Beyond the MOOC platform: gaining insights about learners from the social web. WebSci Guanliang Chen, Dan Davis, Jun Lin, Claudia Hauff, Geert-Jan Houben
2016	—	`conf`	Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback. LAL@LAK Dan Davis, Guanliang Chen, Ioana Jivet, Claudia Hauff, Geert-Jan Houben
2016	B	`conf`	Gauging MOOC Learners' Adherence to the Designed Learning Path. EDM Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben
2016	B	`conf`	Learning Transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice. L@S Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben
2016	A	`conf`	On the Impact of Personality in Massive Open Online Learning. UMAP Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben
2016	B	`conf`	Retrieval Practice and Study Planning in MOOCs: Exploring Classroom-Based Self-regulated Learning Strategies at Scale. EC-TEL Dan Davis, Guanliang Chen, Tim Van der Zee, Claudia Hauff, Geert-Jan Houben
2015	J	`jnl`	Augmenting service recommender systems by incorporating contextual opinions from user reviews. User Model. User Adapt. Interact. Guanliang Chen, Li Chen
2015	J	`jnl`	Recommender systems based on user reviews: the state of the art. User Model. User Adapt. Interact. Li Chen, Guanliang Chen, Feng Wang
2014	A	`conf`	Recommendation Based on Contextual Opinions. UMAP Guanliang Chen, Li Chen
2012	—	`conf`	Social Recommendation Based on Multi-relational Analysis. IAT Jian Chen, Guanliang Chen, Hao Lan Zhang, Jin Huang, Gansen Zhao