Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education
This paper presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating a conversational AI assistant based on Retrieval-Augmented Generation. It aims to enhance earthquake preparedness and conscious action among primary-school students. The system extends the award-winning STEM project Earthquaker moving from mechanical simulation with Lego WeDo2 to cognitive and metacognitive processing. The robotics component uses Lego WeDo2 automation to simulate seismic response, letting students interact with sensors and actuat
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- PossiblePossibly related (embedding) · 55%Artificial intelligence: New AI tool aims to help teachers with lesson planning, cut down burnout - FOX 10 Phoenix →
- PossiblePossibly related (embedding) · 53%Check out real-life AI prototypes from the Futures Lab. →
- PossiblePossibly related (embedding) · 51%AI Improves Earthquake Detection - eos.org →
- PossiblePossibly related (embedding) · 48%US Geological Survey seeks enhanced AI function to watch for earthquakes - Washington Technology →
- LinkedLinked via arxiv author · 85%Xanthi Kokkinou →
“Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Ed”
- LinkedLinked via arxiv author · 85%Chaido Mizeli →
“Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Ed”
- LinkedLinked via arxiv author · 85%Nafsika Koulaxidou →
“Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Ed”
- LinkedLinked via arxiv author · 85%Marina Delianidi →
“Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Ed”