Have you ever wondered how data science students approach learning analytics? In this session, we’ll explore the unique perspectives of postgraduate students who analysed the Open University Learning Analytics Dataset (OULAD) as part of a four-week innovation project.
What makes this work especially interesting is the combination of methods used to capture the students perspectives. Alongside human-led content analysis, we used AI tools like Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). This blend provided a richer, more nuanced understanding of how data science students interpret and engage with learning analytics.
Join us as we share what we learned from these students—about their analytical approaches, the themes they explored, and what all of this means for designing better learning analytics in higher education. It’s a conversation about how students see the role of data in their own learning journey and how their insights can shape the future of education.
CPD Webinar Host: Raghda Marai Zahran, Newcastle University
United Kingdom