AI for special education: solving mathematical word problems with conceptual models approach using LLMs
Organisatsiooni nimi
Language Technology
Kokkuvõte
Solving arithmetic word problems (WPs) is a key yet challenging aspect of school math. For students with learning disabilities in mathematics (LDM), understanding the problem, forming an equation, and solving it can be difficult. The conceptual model-based problem solving (MBPS) approach enhances performance by representing WPs as algebraic equations and using story grammar prompts. Recent advances in AI, particularly in LLMs, provide an opportunity to bridge this gap in education. We propose a master project for building an AI tool using Large Language Models (LLMs) to generate step-by-step solutions and enrich WPs with conceptual equations, providing personalized support for students and educators.
Lõputöö kaitsmise aasta
2024-2025
Juhendaja
Kateryna Lipmaa, Eduard Barbu
Suhtlemiskeel(ed)
inglise keel
Nõuded kandideerijale
Tase
Magister
Kandideerimise kontakt
Nimi
Eduard Barbu
Tel
E-mail
Kuulutus