activity
20232025
most citedPractical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review

877 citations · 895 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2025

Capturing and Sharing Know-How through Visual Process Representations: A Human-Centred Approach to Teacher Workflows

Gloria Fernández-Nieto, Vanessa Echeverria, Yuheng Li +5

Knowledge Management is crucial for capturing and transferring expertise within universities, especially in high staff turnover contexts where expertise loss disrupts teaching. Doc…

cs.HC2025

GoldMind: A Teacher-Centered Knowledge Management System for Higher Education -- Lessons from Iterative Design

Gloria Fernández-Nieto, Lele Sha, Yuheng Li +10

Designing Knowledge Management Systems (KMSs) for higher education requires addressing complex human-technology interactions, especially where staff turnover and changing roles cre…

cs.CL2024★ 13 cited

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

Shiqi Liu, Sannyuya Liu, Lele Sha +3

Various machine learning approaches have gained significant popularity for the automated classification of educational text to identify indicators of learning engagement -- i.e. le…

cs.CL2024★ 1 cited

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

Zijie Zeng, Shiqi Liu, Lele Sha +5

This study explores the challenge of sentence-level AI-generated text detection within human-AI collaborative hybrid texts. Existing studies of AI-generated text detection for hybr…

cs.CL2023★ 4 cited

Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education

Zijie Zeng, Lele Sha, Yuheng Li +3

The recent large language models (LLMs), e.g., ChatGPT, have been able to generate human-like and fluent responses when provided with specific instructions. While admitting the con…

cs.CL2023★ 877 cited

Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review

Lixiang Yan, Lele Sha, Linxuan Zhao +6

Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. W…