Social Recommendation Based on Multi-relational Analysis. - Jian Chen 011; Guanliang Chen; Hao Lan Zhang 001; Jin Huang 007; Gansen Zhao (IAT, 2012)

Recommendation Based on Contextual Opinions. - Guanliang Chen; Li Chen 009 (UMAP, 2014)

Augmenting service recommender systems by incorporating contextual opinions from user reviews. - Guanliang Chen; Li Chen 009 (User Model. User Adapt. Interact., 2015)

Recommender systems based on user reviews: the state of the art. - Li Chen 009; Guanliang Chen; Feng Wang 009 (User Model. User Adapt. Interact., 2015)

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 (EC-TEL, 2016)

Gauging MOOC Learners' Adherence to the Designed Learning Path. - Dan Davis; Guanliang Chen; Claudia Hauff; Geert-Jan Houben (EDM, 2016)

Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback. - Dan Davis; Guanliang Chen; Ioana Jivet; Claudia Hauff; Geert-Jan Houben (LAL@LAK, 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 (L@S, 2016)

On the Impact of Personality in Massive Open Online Learning. - Guanliang Chen; Dan Davis; Claudia Hauff; Geert-Jan Houben (UMAP, 2016)

Beyond the MOOC platform: gaining insights about learners from the social web. - Guanliang Chen; Dan Davis; Jun Lin; Claudia Hauff; Geert-Jan Houben (WebSci, 2016)

On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning. - Yingying Bao; Guanliang Chen; Claudia Hauff (EDM, 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 (LAK, 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 (LAK, 2017)

Workshop on integrated learning analytics of MOOC post-course development. - Yuan Wang; Dan Davis; Guanliang Chen; Luc Paquette (LAK, 2017)

Certificate Achievement Unlocked: How Does MOOC Learners' Behaviour Change? - Yue Zhao 001; Dan Davis; Guanliang Chen; Christoph Lofi; Claudia Hauff; Geert-Jan Houben (UMAP (Adjunct Publication), 2017)

Feature Engineering for Second Language Acquisition Modeling. - Guanliang Chen; Claudia Hauff; Geert-Jan Houben (BEA@NAACL-HLT, 2018)

Concept Focus: Semantic Meta-Data for Describing MOOC Content. - Sepideh Mesbah; Guanliang Chen; Manuel Valle Torre; Alessandro Bozzon; Christoph Lofi; Geert-Jan Houben (EC-TEL, 2018)

LearningQ: A Large-Scale Dataset for Educational Question Generation. - Guanliang Chen; Jie Yang 028; Claudia Hauff; Geert-Jan Houben (ICWSM, 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)

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)

A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. - Guanliang Chen; Jie Yang 028; Dragan Gasevic (AIED (1), 2019)

Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues. - Guanliang Chen; David Lang; Rafael Ferreira 002; Dragan Gasevic (EDM, 2019)

Investigating the Role of Politeness in Human-Human Online Tutoring. - Jionghao Lin; David Lang; Haoran Xie 001; Dragan Gasevic; Guanliang Chen (AIED (2), 2020)

Let's shine together!: a comparative study between learning analytics and educational data mining. - Guanliang Chen; Vitor Rolim; Rafael Ferreira Mello; Dragan Gasevic (LAK, 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 (LAK, 2020)

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 (AIED (1), 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 (EDM, 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 (EDM, 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)

Understanding MOOC Reviews: Text Mining using Structural Topic Model. - Xieling Chen; Gary Cheng 001; Haoran Xie 001; Guanliang Chen; Di Zou (Hum. Centric Intell. Syst., 2021)

Measuring Inconsistency in Written Feedback: A Case Study in Politeness. - Wei Dai; Yi-Shan Tsai; Yizhou Fan; Dragan Gasevic; Guanliang Chen (AIED (1), 2022)

Popularity Prediction in MOOCs: A Case Study on Udemy. - Lin Li 039; Zachari Swiecki; Dragan Gasevic; Guanliang Chen (AIED (1), 2022)

Towards the Automated Evaluation of Legal Casenote Essays. - Mladen Rakovic; Lele Sha; Gerry Nagtzaam; Nick Young; Patrick Stratmann; Dragan Gasevic; Guanliang Chen (AIED (1), 2022)

Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification. - Lele Sha; Yuheng Li; Dragan Gasevic; Guanliang Chen (COLING, 2022)

Automatic Classification of Learning Objectives Based on Bloom's Taxonomy. - Yuheng Li; Mladen Rakovic; Boon Xin Poh; Dragan Gasevic; Guanliang Chen (EDM, 2022)

DeepSet: Deep Learning-based Recommendation with Setwise Preference. - Lin Li 039; Weike Pan; Guanliang Chen; Zhong Ming 001 (IJCNN, 2022)

Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. - Jionghao Lin; Mladen Rakovic; David Lang; Dragan Gasevic; Guanliang Chen (LAK, 2022)

Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring? - Zijie Zeng; Xinyu Li 004; Dragan Gasevic; Guanliang Chen (NAACL-HLT, 2022)

Explainable Artificial Intelligence in education. - Hassan Khosravi; Simon Buckingham Shum; Guanliang Chen; Cristina Conati; Yi-Shan Tsai; Judy Kay; Simon Knight 001; Roberto Martínez Maldonado; Shazia Sadiq; 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)

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)

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)

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)

On the Effectiveness of Curriculum Learning in Educational Text Scoring. - Zijie Zeng; Dragan Gasevic; Guanliang Chen (AAAI, 2023)

Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. - Jionghao Lin; Wei Tan; Ngoc Dang Nguyen; David Lang; Lan Du 002; Wray L. Buntine; Richard Beare; Guanliang Chen; Dragan Gasevic (AIED, 2023)

The Road Not Taken: Preempting Dropout in MOOCs. - Lele Sha; Ed Fincham; Lixiang Yan; Tongguang Li; Dragan Gasevic; Kobi Gal; Guanliang Chen (AIED, 2023)

Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. - Wei Tan; Jionghao Lin; David Lang; Guanliang Chen; Dragan Gasevic; Lan Du 002; Wray L. Buntine (AIED, 2023)

Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. - Zijie Zeng; Lin Li 039; Quanlong Guan; Dragan Gasevic; Guanliang Chen (AIED, 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 (BMSB, 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 (BMSB, 2023)

KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. - Quanlong Guan; Fang Xiao; Xinghe Cheng; Liangda Fang; Ziliang Chen 001; Guanliang Chen; Weiqi Luo 002 (CIKM, 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 (ICALT, 2023)

Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education. - Lin Li 039; Lele Sha; Yuheng Li; Mladen Rakovic; Jia Rong; Srecko Joksimovic; Neil Selwyn; Dragan Gasevic; Guanliang Chen (LAK, 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 (LAK, 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 (LAK, 2023)

Pericardial Effusion Detection on Post-Mortem Computed Tomography Images Using Convolutional Neural Networks. - Haoyu Kong; Jia Rong; Chris Bain; Xinyu Zhang 017; Sarah Parsons; Guanliang Chen; Richard Bassed (MedInfo, 2023)

NCDFSA: Neural Cognitive Diagnostic Focusing on Students' Attention to Knowledge Concepts. - Guoxiong Wei; Zhenyu He 003; Quanlong Guan; Liangda Fang; Weiqi Luo 002; Guanliang Chen (SMC, 2023)

Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education. - Yuheng Li; Mladen Rakovic; Wei Dai; Jionghao Lin; Hassan Khosravi; Kirsten Galbraith; Kayley M. Lyons; Dragan Gasevic; Guanliang Chen (Comput. Educ. Artif. Intell., 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)

Reinforcement learning for automatic detection of effective strategies for self-regulated learning. - Ikenna Osakwe; Guanliang Chen; Yizhou Fan; Mladen Rakovic; Xinyu Li 004; Shaveen Singh; Inge Molenaar; Maria Bannert; Dragan Gasevic (Comput. Educ. Artif. Intell., 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 004; Yueqiao Jin; Dragan Gasevic (CoRR, 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)

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)

Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. - Xieling Chen; Di Zou; Haoran Xie 001; Guanliang Chen; Jionghao Lin; Gary Cheng 001 (Educ. Inf. Technol., 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., 2023)

Lessons from debiasing data for fair and accurate predictive modeling in education. - Lele Sha; Dragan Gasevic; Guanliang Chen (Expert Syst. Appl., 2023)

Co-designing a knowledge management tool for educator communities of practice. - 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 001; Guanliang Chen; et al. (Conference on Designing Interactive Systems, 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 (AAAI, 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 (AAAI, 2024)

Towards the Automated Generation of Readily Applicable Personalised Feedback in Education. - Zhiping Liang; Lele Sha; Yi-Shan Tsai; Dragan Gasevic; Guanliang Chen (AIED (2), 2024)

Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. - Lin Li 039; Namrata Srivastava; Jia Rong; Gina Pianta; Raju Varanasi; Dragan Gasevic; Guanliang Chen (LAK, 2024)

Evidence-centered Assessment for Writing with Generative AI. - Yixin Cheng; Kayley M. Lyons; Guanliang Chen; Dragan Gasevic; Zachari Swiecki (LAK, 2024)

Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes. - Zheng Fang; Weiqing Wang 001; Guanliang Chen; Zachari Swiecki (LAK, 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 (LAK, 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 (LAK Workshops, 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 004; Guanliang Chen; Dragan Gasevic (LAK, 2024)

Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions. - Xiuliang Duan; Dating Tan; Liangda Fang; Yuyu Zhou; Chaobo He; Ziliang Chen 001; Lusheng Wu; Guanliang Chen; Zhiguo Gong; Weiqi Luo 002; Quanlong Guan (ACM Multimedia, 2024)

Generating Privacy-preserving Educational Data Records with Diffusion Model. - Quanlong Guan; Yanchong Yu; Xiujie Huang; Liangda Fang; Chaobo He; Lusheng Wu; Weiqi Luo 002; Guanliang Chen (WWW (Companion Volume), 2024)

Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback. - Ahmad Ari Aldino; Yi-Shan Tsai; Rafael Ferreira Mello; Dragan Gasevic; Guanliang Chen (Comput. Educ. Artif. Intell., 2024)

Assessing the proficiency of large language models in automatic feedback generation: An evaluation study. - Wei Dai; Yi-Shan Tsai; Jionghao Lin; Ahmad Ari Aldino; Hua Jin; Tongguang Li; Dragan Gasevic; Guanliang Chen (Comput. Educ. Artif. Intell., 2024)

Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts. - Zijie Zeng; Shiqi Liu 003; Lele Sha; Zhuang Li 001; Kaixun Yang; Sannyuya Liu; Dragan Gasevic; Guanliang Chen (CoRR, 2024)

Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing. - Kaixun Yang; Yixin Cheng; Linxuan Zhao; Mladen Rakovic; Zachari Swiecki; Dragan Gasevic; Guanliang Chen (CoRR, 2024)

Fair Knowledge Tracing in Second Language Acquisition. - Weitao Tang; Guanliang Chen; Shuaishuai Zu; Jiangyi Luo (CoRR, 2024)

Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. - Jionghao Lin; Wei Tan; Lan Du 002; Wray L. Buntine; David Lang; Dragan Gasevic; Guanliang Chen (IEEE Trans. Learn. Technol., 2024)

On the role of politeness in online human-human tutoring. - Jionghao Lin; Mladen Rakovic; Yuheng Li; Haoran Xie 001; David Lang; Dragan Gasevic; Guanliang Chen (Br. J. Educ. Technol., 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 004; Yueqiao Jin; Dragan Gasevic (Br. J. Educ. Technol., 2024)

Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach. - 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 (Br. J. Educ. Technol., 2024)

Does the Prompt-Based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? - Kaixun Yang; Mladen Rakovic; Dragan Gasevic; Guanliang Chen (AIED (2), 2025)

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 (COLING, 2025)

ShareFlows: Seamless Knowledge Capture and Proactive Push for Efficient Teacher Workflows in Higher Education. - Lele Sha; Gloria Milena Fernández Nieto; Yuheng Li; Yi-Shan Tsai; Guanliang Chen; Jim Wen; Shaveen Singh; Iván Silva Feraud; Dragan Gasevic; Zachari Swiecki (IUI, 2025)

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 (LAK, 2025)

The Company You Keep: Refining Neural Epistemic Network Analysis. - Zheng Fang; Weiqing Wang 001; Guanliang Chen; Zachari Swiecki (LAK, 2025)

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 (LAK, 2025)

Enhancing Motivation and Learning in Primary School History Classrooms: The Impact of Virtual Reality. - Lina Zhong; Weijie Lang; Jia Rong; Guanliang Chen; Miao Fan (LAK, 2025)

Asking generative artificial intelligence the right questions improves writing performance. - Yixin Cheng; Yizhou Fan; Xinyu Li 004; Guanliang Chen; Dragan Gasevic; Zachari Swiecki (Comput. Educ. Artif. Intell., 2025)

Analytics of Learner-Centered Feedback: A Large-Scale Case Study in Higher Education. - Ahmad Ari Aldino; Yi-Shan Tsai; Siddarth Gupte; Michael Henderson 002; Debarshi Nath; Dragan Gasevic; Guanliang Chen (Comput. Educ., 2025)

Can AI support human grading? Examining machine attention and confidence in short answer scoring. - Yuheng Li; Mladen Rakovic; Namrata Srivastava; Xinyu Li 004; Quanlong Guan; Dragan Gasevic; Guanliang Chen (Comput. Educ., 2025)

Explainable exercise recommendation with knowledge graph. - Quanlong Guan; Xinghe Cheng; Fang Xiao; Zhuzhou Li; Chaobo He; Liangda Fang; Guanliang Chen; Zhiguo Gong; Weiqi Luo 002 (Neural Networks, 2025)

Students' Perceptions of Generative AI-Powered Learning Analytics in the Feedback Process: A Feedback Literacy Perspective. - 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 (J. Learn. Anal., 2025)

How educational chatbots support self-regulated learning? A systematic review of the literature. - Rui Guan; Mladen Rakovic; Guanliang Chen; Dragan Gasevic (Educ. Inf. Technol., 2025)

Capturing and Sharing Know-How through Visual Process Representations: A Human-Centred Approach to Teacher Workflows. - Gloria Fernández-Nieto; Vanessa Echeverría; Yuheng Li; Yi-Shan Tsai; Lele Sha; Guanliang Chen; Dragan Gasevic; Zachari Swiecki (CoRR, 2025)

GoldMind: A Teacher-Centered Knowledge Management System for Higher Education - Lessons from Iterative Design. - Gloria Fernández-Nieto; Lele Sha; Yuheng Li; Yi-Shan Tsai; Guanliang Chen; Yinwei Wei; Weiqing Wang 001; Jinchun Wen; Shaveen Singh; Iván Silva Feraud; Yuanfang Li; Dragan Gasevic; et al. (CoRR, 2025)

Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators. - Keyang Qian; Yixin Cheng; Rui Guan; Wei Dai; Flora Ji-Yoon Jin; Kaixun Yang; Sadia Nawaz; Zachari Swiecki; Guanliang Chen; Lixiang Yan; Dragan Gasevic (CoRR, 2025)

SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research. - Keyang Qian; Kaixun Yang; Wei Dai; Flora Ji-Yoon Jin; Yixin Cheng; Rui Guan; Sadia Nawaz; Zachari Swiecki; Guanliang Chen; Lixiang Yan; Dragan Gasevic (CoRR, 2025)

Beyond Self-Regulated Learning Processes: Unveiling Hidden Tactics in Generative AI-Assisted Writing. - Kaixun Yang; Yizhou Fan; Luzhen Tang; Mladen Rakovic; Xinyu Li 004; Dragan Gasevic; Guanliang Chen (CoRR, 2025)