3 citations · 6 across the 4 of their papers we have counts for
5 papers · 1 filter
Breakable Machine: A K-12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Olli Hilke, Nicolas Pope, Juho Kahila +4
This paper, submitted to the special track on resources for teaching AI in K-12, presents an eXplainable AI (XAI)-based classroom game "Breakable Machine" for teaching critical, tr…
Classroom Activities and New Classroom Apps for Enhancing Children's Understanding of Social Media Mechanisms
Henriikka Vartiainen, Nicolas Pope, Juho Kahila +2
Young people are increasingly exposed to adverse effects of data-driven profiling, recommending, and manipulation on social media platforms, most of them without adequate understan…
An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending
Nicolas Pope, Juho Kahila, Henriikka Vartiainen +5
This paper, submitted to the special track on resources for teaching AI in K-12, presents an explainable AI (XAI) education tool designed for K-12 classrooms, particularly for stud…
An Educational Tool for Learning about Social Media Tracking, Profiling, and Recommendation
Nicolas Pope, Juho Kahila, Jari Laru +3
This paper introduces an educational tool for classroom use, based on explainable AI (XAI), designed to demystify key social media mechanisms - tracking, profiling, and content rec…
Teaching Machine Learning in K-12 Computing Education: Potential and Pitfalls
Matti Tedre, Tapani Toivonen, Juho Kahila +4
Over the past decades, numerous practical applications of machine learning techniques have shown the potential of data-driven approaches in a large number of computing fields. Mach…