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)

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)

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)

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)

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

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)

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)

Beyond Accuracy: Detecting and Alleviating Algorithmic Bias in Classifying Educational Forum Messages. - Lele Sha (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)

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)

Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights. - Zijie Zeng; Shiqi Liu 003; Lele Sha; Zhuang Li 001; Kaixun Yang; Sannyuya Liu; Dragan Gasevic; Guangliang Chen (IJCAI, 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)

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)

Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification. - Shiqi Liu 003; Sannyuya Liu; Lele Sha; Zijie Zeng; Dragan Gasevic; Zhi Liu 011 (CoRR, 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 automated transcribing and coding of embodied teamwork communication through multimodal learning analytics. - Linxuan Zhao; Dragan Gasevic; Zachari Swiecki; Yuheng Li; Jionghao Lin; Lele Sha; Lixiang Yan; Riordan Alfredo; Xinyu Li 004; Roberto Martínez Maldonado (Br. J. Educ. Technol., 2024)

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)

Annotation Guideline-Based Knowledge Augmentation: Toward Enhancing Large Language Models for Educational Text Classification. - Shiqi Liu 003; Sannyuya Liu; Lele Sha; Zijie Zeng; Dragan Gasevic; Zhi Liu 011 (IEEE Trans. Learn. Technol., 2025)