ACROSS
A multi-agent AI platform that applies each company's own terminology and style rules to machine translation, cutting costly human post-editing.
Dublin City University
Lead: Dr. Vicent Briva Iglesias
Digital Education & Online CommunicationLEAP-LA
An AI co-pilot for educators that turns multimodal learning data into conversational feedback, revealing learning gaps across whole cohorts.
- Lead researcher
- Qian Xiao
- Institution
- Maynooth University
About the project
LEAP-LA, an AI-powered learning analytics (LA) platform acts as an AI co-pilot for educators. By applying cutting-edge generative models and deep learning techniques, LEAP-LA supports both formative (ongoing feedback) and summative (outcome-focused) assessment strategies, enabling educators to reframe how learner progress is tracked, understood, and supported.
The LEAP-LA platform integrates multimodal learning data and delivers intelligent, conversational feedback that helps educators identify learning gaps, track performance across learner cohorts, and personalise learning strategies. It also features advanced comparative analysis tools and data visualisation to support evidence-based decision-making in real-time.
The key objectives of Leap-La are:
1.Developing generative models and visualisation tools for real-time formative assessment.
2.Creating a conversational AI chatbot which interprets and communicates learning analytics to educators.
3. Building a comparative analytics to evaluate learning outcomes across groups.
Last updated: 8 September 2026
Project team
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