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2020 – today
- 2024
[j20]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): 90-112 (2024)- [j19]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): 156-180 (2024) - [j18]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): 1747-1771 (2024) - [j17]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: 258-269 (2024) - [c58]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 - [c57]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: 22466-22474 - [c56]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: 22502-22510 - [c55]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: 75-88 - [c54]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: 100-117 - [c53]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: 157-166 - [c52]Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki:
Evidence-centered Assessment for Writing with Generative AI. LAK 2024: 178-188 - [c51]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: 608-619 - [c50]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: 656-666 - [c49]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: 701-712 - [c48]Xiuliang Duan, Dating Tan, Liangda Fang, Yuyu Zhou, Chaobo He, Ziliang Chen, Lusheng Wu, Guanliang Chen, Zhiguo Gong, Weiqi Luo, Quanlong Guan:
Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions. ACM Multimedia 2024: 6959-6968 - [c47]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: 806-809 - [i8]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 abs/2401.05655 (2024) - [i7]Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki:
Evidence-centered Assessment for Writing with Generative AI. CoRR abs/2401.08964 (2024) - [i6]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 abs/2403.03506 (2024) - [i5]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 abs/2406.14885 (2024) - 2023
- [j16]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: 100140 (2023) - [j15]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): 1323-1358 (2023) - [j14]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): 118868 (2023) - [j13]Lele Sha, Dragan Gasevic, Guanliang Chen:
Lessons from debiasing data for fair and accurate predictive modeling in education. Expert Syst. Appl. 228: 120323 (2023) - [j12]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): 339-352 (2023) - [c46]Zijie Zeng, Dragan Gasevic, Guanliang Chen:
On the Effectiveness of Curriculum Learning in Educational Text Scoring. AAAI 2023: 14602-14610 - [c45]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: 114-125 - [c44]Lele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen:
The Road Not Taken: Preempting Dropout in MOOCs. AIED 2023: 164-175 - [c43]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: 176-188 - [c42]Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen:
Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. AIED 2023: 438-449 - [c41]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: 1-4 - [c40]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: 1-4 - [c39]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: 597-607 - [c38]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: 323-325 - [c37]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: 100-110 - [c36]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: 418-429 - [c35]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: 499-508 - [c34]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: 745-749 - [c33]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: 1957-1963 - [i4]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 abs/2303.13379 (2023) - [i3]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 abs/2304.05578 (2023) - [i2]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 abs/2304.07499 (2023) - [i1]Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen:
Towards Automatic Boundary Detection for Human-AI Hybrid Essay in Education. CoRR abs/2307.12267 (2023) - 2022
- [j11]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: 100059 (2022) - [j10]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: 100074 (2022) - [j9]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: 100075 (2022) - [j8]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: 194-207 (2022) - [j7]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): 481-492 (2022) - [c32]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: 167-179 - [c31]Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen:
Measuring Inconsistency in Written Feedback: A Case Study in Politeness. AIED (1) 2022: 560-566 - [c30]Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen:
Popularity Prediction in MOOCs: A Case Study on Udemy. AIED (1) 2022: 607-613 - [c29]Lele Sha, Yuheng Li, Dragan Gasevic, Guanliang Chen:
Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification. COLING 2022: 1275-1285 - [c28]Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic, Guanliang Chen:
Automatic Classification of Learning Objectives Based on Bloom's Taxonomy. EDM 2022 - [c27]Lin Li, Weike Pan, Guanliang Chen, Zhong Ming:
DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN 2022: 1-9 - [c26]Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen:
Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. LAK 2022: 282-293 - [c25]Zijie Zeng, Xinyu Li, Dragan Gasevic, Guanliang Chen:
Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring? NAACL-HLT 2022: 191-205 - 2021
- [j6]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): 2038-2057 (2021) - [j5]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): 55 (2021) - [c24]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: 381-394 - [c23]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 - [c22]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 - [e1]Chaoyi Pang, Yunjun Gao, Guanliang Chen, Elvira Popescu, Lu Chen, Tianyong Hao, Bailing Zhang, Silvia Margarita Baldiris Navarro, Qing Li:
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. Lecture Notes in Computer Science 12511, Springer 2021, ISBN 978-3-030-66905-8 [contents] - 2020
- [c21]Jionghao Lin, David Lang, Haoran Xie, Dragan Gasevic, Guanliang Chen:
Investigating the Role of Politeness in Human-Human Online Tutoring. AIED (2) 2020: 174-179 - [c20]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: 141-150 - [c19]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: 544-553
2010 – 2019
- 2019
- [c18]Guanliang Chen, Jie Yang, Dragan Gasevic:
A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. AIED (1) 2019: 59-70 - [c17]Guanliang Chen, David Lang, Rafael Ferreira, Dragan Gasevic:
Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues. EDM 2019 - 2018
- [j4]Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben:
Activating learning at scale: A review of innovations in online learning strategies. Comput. Educ. 125: 327-344 (2018) - [j3]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): 264-274 (2018) - [c16]Guanliang Chen, Claudia Hauff, Geert-Jan Houben:
Feature Engineering for Second Language Acquisition Modeling. BEA@NAACL-HLT 2018: 356-364 - [c15]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: 467-481 - [c14]Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben:
LearningQ: A Large-Scale Dataset for Educational Question Generation. ICWSM 2018: 481-490 - 2017
- [c13]Yingying Bao, Guanliang Chen, Claudia Hauff:
On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning. EDM 2017 - [c12]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: 454-463 - [c11]Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette:
Workshop on integrated learning analytics of MOOC post-course development. LAK 2017: 506-507 - [c10]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: 578-579 - [c9]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: 83-88 - 2016
- [c8]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: 57-71 - [c7]Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben:
Gauging MOOC Learners' Adherence to the Designed Learning Path. EDM 2016: 54-61 - [c6]Dan Davis, Guanliang Chen, Ioana Jivet, Claudia Hauff, Geert-Jan Houben:
Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback. LAL@LAK 2016: 17-22 - [c5]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: 409-418 - [c4]Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben:
On the Impact of Personality in Massive Open Online Learning. UMAP 2016: 121-130 - [c3]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: 15-24 - 2015
- [j2]Li Chen, Guanliang Chen, Feng Wang:
Recommender systems based on user reviews: the state of the art. User Model. User Adapt. Interact. 25(2): 99-154 (2015) - [j1]Guanliang Chen, Li Chen:
Augmenting service recommender systems by incorporating contextual opinions from user reviews. User Model. User Adapt. Interact. 25(3): 295-329 (2015) - 2014
- [c2]Guanliang Chen, Li Chen:
Recommendation Based on Contextual Opinions. UMAP 2014: 61-73 - 2012
- [c1]Jian Chen, Guanliang Chen, Hao Lan Zhang, Jin Huang, Gansen Zhao:
Social Recommendation Based on Multi-relational Analysis. IAT 2012: 471-477
Coauthor Index
[j20] [j19] [j18] [j17] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [c50] [c49] [i8] [i7] [i6] [i5] [j16] [j14] [j13] [j12] [c46] [c45] [c44] [c43] [c42] [c38] [c37] [c36] [c35] [i4] [i3] [i2] [i1] [j11] [j10] [j9] [j8] [j7] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [j6] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17]
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