877 citations · 2.1k across the 39 of their papers we have counts for
18 papers · 1 filter
The FLoRA Engine: Using Analytics to Measure and Facilitate Learners' own Regulation Activities
Xinyu Li, Yizhou Fan, Tongguang Li +8
The focus of education is increasingly set on learners' ability to regulate their own learning within technology-enhanced learning environments (TELs). Prior research has shown tha…
Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance
Yizhou Fan, Luzhen Tang, Huixiao Le +6
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of support from agents such as teachers, peers, education techno…
Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures
Yixin Cheng, Rui Guan, Tongguang Li +7
While the capacity to self-regulate has been found to be crucial for secondary school students, prior studies often rely on self-report surveys and think-aloud protocols that prese…
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…
From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning
Lixiang Yan, Dragan Gašević, Linxuan Zhao +3
Multimodal Learning Analytics (MMLA) leverages advanced sensing technologies and artificial intelligence to capture complex learning processes, but integrating diverse data sources…
GLAT: The Generative AI Literacy Assessment Test
Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević +1
The rapid integration of generative artificial intelligence (GenAI) technology into education necessitates precise measurement of GenAI literacy to ensure that learners and educato…
Promises and challenges of generative artificial intelligence for human learning
Lixiang Yan, Samuel Greiff, Ziwen Teuber +1
Generative artificial intelligence (GenAI) holds the potential to transform the delivery, cultivation, and evaluation of human learning. This Perspective examines the integration o…
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…
PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval
Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang +5
Differentiable Search Index (DSI) utilizes pre-trained language models to perform indexing and document retrieval via end-to-end learning without relying on external indexes. Howev…
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…
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines
Yueqiao Jin, Lixiang Yan, Vanessa Echeverria +2
Integrating generative AI (GAI) into higher education is crucial for preparing a future generation of GAI-literate students. Yet a thorough understanding of the global institutiona…
Large Language Models Meet User Interfaces: The Case of Provisioning Feedback
Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi +5
Incorporating Generative AI (GenAI) and Large Language Models (LLMs) in education can enhance teaching efficiency and enrich student learning. Current LLM usage involves conversati…
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…
FATE in MMLA: A Student-Centred Exploration of Fairness, Accountability, Transparency, and Ethics in Multimodal Learning Analytics
Yueqiao Jin, Vanessa Echeverria, Lixiang Yan +5
Multimodal Learning Analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during comp…
Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?
Honbo Shao, Roberto Martinez-Maldonado, Vanessa Echeverria +2
Data storytelling (DS) is rapidly gaining attention as an approach that integrates data, visuals, and narratives to create data stories that can help a particular audience to compr…
Evidence-centered Assessment for Writing with Generative AI
Yixin Cheng, Kayley Lyons, Guanliang Chen +2
We propose a learning analytics-based methodology for assessing the collaborative writing of humans and generative artificial intelligence. Framed by the evidence-centered design,…
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…