Challenges & Opportunities
Open challenges with multi-modality; extensions to various subjects; extensions to multiple languages,
especially low-resource ones; adaptation to various ages, educational backgrounds and levels;
among other topics:
New Strides
- Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns
(Liu et.al., 2025)
- Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment
(Favero et.al., 2025)
- Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases
(Gao et.al., 2025)
- Evaluating Multimodal Generative AI with Korean Educational Standards
(Park and Kim, 2025)
- MM-PhyQA: Multimodal Physics Question-Answering with Multi-image
CoT Prompting (Anand et al., 2024)
- FineWeb-Edu - the finest collection of
educational content the web has to offer (Huggingface, 2024)
- Know Your Audience: Do LLMs Adapt to Different Age
and Education Levels? (Rooein et al., 2023)
Challenges and Future
- "Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
(Harvey et.al., CHI 2025)
- Foundation Models for Low-Resource Language Education
(Vision Paper) (Ding et al., 2024)
- Challenges and Opportunities
of Moderating Usage of Large Language Models in Education (Krupp et al., 2024)
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- Adapting Large Language Models for Education: Foundational Capabilities,
Potentials, and Challenges (Li et al., 2024)
- Chemvlm: Exploring the power of multimodal large
language models in chemistry area (Li et al., 2024)
- KidLM: Advancing Language Models for Children – Early Insights and
Future Directions (Nayeem and Rafiei, 2024)