Adapting large language models for education: Foundational capabilities, potentials, and challenges
Online education platforms, leveraging the internet to distribute education resources, seek to
provide convenient education but often fall short in real-time communication with students …
provide convenient education but often fall short in real-time communication with students …
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations
With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …
attention as an integral part of intelligent education. China, the United States, the European …
Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective
Learning path recommendation aims to provide learners with a reasonable order of items to
achieve their learning goals. Intuitively, the learning process on the learning path can be …
achieve their learning goals. Intuitively, the learning process on the learning path can be …
Learning path recommendation with multi-behavior user modeling and cascading deep Q networks
D Ma, H Zhu, S Liao, Y Chen, J Liu, F Tian… - Knowledge-Based …, 2024 - Elsevier
An online learning platform has become an important channel for learners to obtain
knowledge due to its easy access and rich resources. In order to meet online learners' short …
knowledge due to its easy access and rich resources. In order to meet online learners' short …
Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation
Educational recommendation seeks to suggest knowledge concepts that match a learner's
ability, thus facilitating a personalized learning experience. In recent years, reinforcement …
ability, thus facilitating a personalized learning experience. In recent years, reinforcement …
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
Concept recommendation aims to suggest the next concept for learners to study based on
their knowledge states and the human knowledge system. While knowledge states can be …
their knowledge states and the human knowledge system. While knowledge states can be …
HierLLM: Hierarchical Large Language Model for Question Recommendation
Y Liu, H Liu, T Long - arXiv preprint arXiv:2409.06177, 2024 - arxiv.org
Question recommendation is a task that sequentially recommends questions for students to
enhance their learning efficiency. That is, given the learning history and learning target of a …
enhance their learning efficiency. That is, given the learning history and learning target of a …
Individualised Mathematical Task Recommendations Through Intended Learning Outcomes and Reinforcement Learning
Guiding students towards achieving the Intended Learning Outcomes (ILOs) of an academic
module as part of a mentoring process presents a significant challenge, as it is important not …
module as part of a mentoring process presents a significant challenge, as it is important not …