Large language models for education: A survey and outlook
The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …
the realm of education. This survey paper summarizes the various technologies of LLMs in …
A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education
Large language models (LLMs) have the potential to enhance K-12 STEM education by
improving both teaching and learning processes. While previous studies have shown …
improving both teaching and learning processes. While previous studies have shown …
Knowledge-Based and Generative-AI-Driven Pedagogical Conversational Agents: A Comparative Study of Grice's Cooperative Principles and Trust
The emergence of generative language models (GLMs), such as OpenAI's ChatGPT, is
changing the way we communicate with computers and has a major impact on the …
changing the way we communicate with computers and has a major impact on the …
Where generative AI fits within and in addition to existing ai k12 education interactions: industry and research perspectives
Recent developments in Generative AI have led capital market, industry, and research
institutions to explore its education applications as solutions to K12 challenges. However …
institutions to explore its education applications as solutions to K12 challenges. However …
State-Aware Deep Item Response Theory using student facial features
Y Zhou, K Suzuki, S Kumano - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
This paper introduces a novel approach to Item Response Theory (IRT) by incorporating
deep learning to analyze student facial expressions to enhance the prediction and …
deep learning to analyze student facial expressions to enhance the prediction and …
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
Z Li, M Cukurova, S Bulathwela - arXiv preprint arXiv:2501.05220, 2025 - arxiv.org
The development of Automatic Question Generation (QG) models has the potential to
significantly improve educational practices by reducing the teacher workload associated …
significantly improve educational practices by reducing the teacher workload associated …
[PDF][PDF] Personalizing Instruction to Students' Interests: Foundations and New Directions
C Walkington, M Bernacki, T Beauchamp - Researchgate Preprint, 2024 - researchgate.net
Interest theory states that triggering students' interest in a learning task can have beneficial
effects for their resulting interest in a content domain, as well as their conceptual learning. In …
effects for their resulting interest in a content domain, as well as their conceptual learning. In …
Mixing up Gemini and AST in ExplainS for Authentic SQL Tutoring
H Clark, HM Jamil - … on Teaching, Assessment and Learning for …, 2024 - ieeexplore.ieee.org
Mastering SQL is a key data science competence. While most large language models are
able to translate natural language queries to SQL, their ability to tutor learners and …
able to translate natural language queries to SQL, their ability to tutor learners and …
Path to Personalization: A Systematic Review of GenAI in Engineering Education
This systematic review paper provides a comprehensive synthesis across 162 articles on
Generative Artificial Intelligence (GenAI) in engineering education (EE), making two specific …
Generative Artificial Intelligence (GenAI) in engineering education (EE), making two specific …
Fluid Interfaces and Fixed Patterns: Understanding LLM Behavior in Educational Contexts
A Kucheria - 2024 - aaltodoc.aalto.fi
Abstract As Large Language Models (LLMs) emerge as potential tutoring agents, they
promise more fluid, adaptive educational interactions than traditional intelligent tutoring …
promise more fluid, adaptive educational interactions than traditional intelligent tutoring …