Lele Sha

According to our database, Lele Sha authored at least 23 papers between 2021 and 2024.

Collaborative distances:

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

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, Roberto Martínez Maldonado

Br. J. Educ. Technol., July, 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

Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification.

Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gasevic, Zhi Liu

CoRR, 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

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

Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights.

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards the Automated Generation of Readily Applicable Personalised Feedback in Education.

Zhiping Liang, Lele Sha, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 25th International 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

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, Guanliang Chen, Dragan Gasevic

Proceedings of the Designing Interactive Systems Conference, 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

Beyond Accuracy: Detecting and Alleviating Algorithmic Bias in Classifying Educational Forum Messages.

Lele Sha

PhD thesis, 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

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

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

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

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

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

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