4 citations · 18 across the 13 of their papers we have counts for
13 papers
Dataset of GenAI-Assisted Information Problem Solving in Education
Xinyu Li, Kaixun Yang, Jiameng Wei +3
Information Problem Solving (IPS) is a critical competency for academic and professional success in education, work, and life. The advent of Generative Artificial Intelligence (Gen…
Uncovering Students' Inquiry Patterns in GenAI-Supported Clinical Practice: An Integration of Epistemic Network Analysis and Sequential Pattern Mining
Jiameng Wei, Dinh Dang, Kaixun Yang +9
Assessment of medication history-taking has traditionally relied on human observation, limiting scalability and detailed performance data. While Generative AI (GenAI) platforms ena…
Beyond Self-Regulated Learning Processes: Unveiling Hidden Tactics in Generative AI-Assisted Writing
Kaixun Yang, Yizhou Fan, Luzhen Tang +4
The integration of Generative AI (GenAI) into education is reshaping how students learn, making self-regulated learning (SRL) - the ability to plan, monitor, and adapt one's learni…
SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research
Keyang Qian, Kaixun Yang, Wei Dai +8
Using Large Language Models (LLMs) to give educational feedback to students for their assignments has attracted much attention in the AI in Education (AIED) field. Yet, there is cu…
Dean of LLM Tutors: A Framework for Automated Quality Review of AI-generated Feedback
Keyang Qian, Yixin Cheng, Rui Guan +8
Large language model (LLM) tutors are increasingly used to generate educational feedback, but existing research has focused mainly on feedback generation rather than feedback evalu…
The Agency Gap in AI-Supported Writing: How Reactive and Proactive Agent Designs Shape Multimodal Reasoning
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado +2
Generative AI is becoming part of academic writing, but its educational value depends on how control is shared between learner and system. This study examined an agency gap: perfor…
Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?
Kaixun Yang, Mladen Raković, Dragan Gašević +1
Large Language Models (LLMs) are widely used in Automated Essay Scoring (AES) due to their ability to capture semantic meaning. Traditional fine-tuning approaches required technica…
Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality
Kaixun Yang, Mladen Raković, Zhiping Liang +5
Students are increasingly relying on Generative AI (GAI) to support their writing-a key pedagogical practice in education. In GAI-assisted writing, students can delegate core cogni…
Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding Chatbots
Yueqiao Jin, Kaixun Yang, Lixiang Yan +8
Learning analytics dashboards (LADs) simplify complex learner data into accessible visualisations, providing actionable insights for educators and students. However, their educatio…
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing
Kaixun Yang, Yixin Cheng, Linxuan Zhao +4
The advent of Generative Artificial Intelligence (GAI) has revolutionized the field of writing, marking a shift towards human-AI collaborative writing in education. However, the dy…
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…
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
Kaixun Yang, Mladen Raković, Yuyang Li +3
Automatic Essay Scoring (AES) is a well-established educational pursuit that employs machine learning to evaluate student-authored essays. While much effort has been made in this a…
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…