6 citations · 7 across the 5 of their papers we have counts for
5 papers
A Structured Unplugged Approach for Foundational AI Literacy in Primary Education
Maria Cristina Carrisi, Mirko Marras, Sara Vergallo
Younger generations are growing up in a world increasingly shaped by intelligent technologies, making early AI literacy crucial for developing the skills to critically understand a…
RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education
Mohammad Asadi, Vinitra Swamy, Jibril Frej +3
Time series is the most prevalent form of input data for educational prediction tasks. The vast majority of research using time series data focuses on hand-crafted features, design…
Generalisable Methods for Early Prediction in Interactive Simulations for Education
Jade Maï Cock, Mirko Marras, Christian Giang +1
Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to lea…
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
Vinitra Swamy, Bahar Radmehr, Natasa Krco +2
Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainab…
Meta Transfer Learning for Early Success Prediction in MOOCs
Vinitra Swamy, Mirko Marras, Tanja Käser
Despite the increasing popularity of massive open online courses (MOOCs), many suffer from high dropout and low success rates. Early prediction of student success for targeted inte…