Dragan Gašević

Using Learning Analytics to Support Secondary School Students’ Writing with Generative AI

Trace Data of Secondary Students and Linguistic Analysis to Predict Learner Performance in a Multi‐Text Writing Task

Writing from multiple sources is a cognitively demanding task that requires students to integrate reading, planning, and composition processes. While prior research has demonstrated the importance of self‐regulated learning (SRL) and linguistic features in predicting writing performance, most studies have focused...

Making AI-Generated Feedback Matter: A Large-Scale Study of Feedback Workflows and Student Enactment

It is suggested that the educational value of AI-generated feedback depends not only on the quality of feedback comments, but also on workflows that actively structure students' enactment of feedback literacy processes.

Decoding the Dashboard: Data Comics to Support Students'Understanding of Learning Analytics Visualisations

It is suggested that both students and teachers are receptive to data comics as a means of supporting the interpretability of LADs, though they must be carefully designed to avoid overwhelming students with information.

Human or GenAI Support? Conditions Impacting Students' Strategy Choices in an Essay Revision Task

Students often struggle to effectively self‐regulate their learning strategies during writing tasks and typically require external support from teachers, peers or AI tools to overcome these challenges. While emerging research explores how generative AI can dialogically interact with students to support the writin...

Applying Generative AI to the Learning Analytics Cycle to Support Competency Development in Health Professions Education

This paper modify Clow’s learning analytics cycle to inform a modified framework describing the intersection of learning analytics with professional learning, and illustrates the potential power of GenAI for supporting professional learning across the framework through three case studies in health professions education...

Dataset of GenAI-Assisted Information Problem Solving in Education

An open-source dataset collected from 279 students at a public Australian university, generated through students' use of FLoRA, provides a valuable resource for advancing understanding of GenAI's role in educational IPS and informing the design of adaptive, inclusive AI-powered learning tools.

From GenAI Virtual Patient Dialogue Logs to Teacher-Interpretable Process Evidence: A Learning Analytics Study in Higher Education

Layer-by-layer analysis of GenAI VP dialogue logs can reveal process patterns associated with high rated history taking and support process-focused feedback in medical education.

Which Feedback Is More Effective? A Comparative Study on Teachers' Evaluation of Feedback Models in Essay Writing

Feedback is a key factor in improving the writing skills of students, but providing it at a large scale remains a significant challenge. Large Language Models (LLMs) emerge as a promising solution; however, the pedagogical quality of the automatically generated feedback requires further investigation. This study examin...