In an increasingly data- and AI-driven world, learning analytics has the potential of transforming teaching and learning practices. By collecting digital data from the learning environment, and analysing them through state-of-the-art technologies, deeper insights are gained with the potential of improving the learning process, by informing decision-making of both educators and learners. This challenge seeks innovative solutions to leverage multimodal data for active and project-based learning: e.g.,

• For students, these technologies can act as intelligent tutors, that analyse student data— such as performance, learning behavior, and engagement patterns — and dynamically adjust learning materials, feedback, and difficulty levels to meet individual student needs. The goal is to empower students to take responsibility for their learning and engage within a collaborative, inclusive, and fair learning environment.
• For educators, the analysis of student data can provide an intelligent toolbox that enhances their capacity for monitoring individual and group progress, identifying learning gaps, and providing timely intervention and support. The goal is to support educators to personalise instruction, inform decision-making, and drive continuous improvement in educational outcomes.

This hackathon will be held in a blended online-onsite mode. Onsite participants are welcome to Interdisciplinary Transformation University Austria's main building in Linz.