Learning Path

Learning path research focuses on optimizing the sequence and selection of educational materials to maximize student learning outcomes. Current efforts utilize various machine learning techniques, including Bayesian networks, reinforcement learning, and large language models integrated with knowledge graphs, to create adaptive learning paths tailored to individual student needs and knowledge states. These advancements aim to improve the efficiency and effectiveness of education by providing personalized learning experiences and enhancing the explainability of learning recommendations. The ultimate goal is to create more effective and engaging educational systems, impacting both educational practice and the broader field of personalized learning technologies.

Papers

October 28, 2024

Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations
Michiel Nikken, Nicolò Botteghi, Wesley Roozing, Federico Califano
Path Planning Diffusion Probabilistic Model Noisy Demonstration Low Quality Conditional Sampling Diffusion Planner Learning Path

July 3, 2024

Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform
Tim Klausmann, Marius Köppel, Daniel Schunk, Isabell Zipperle
Machine Learning Adaptive Learning Learning Platform Field Experiment Learning Path

June 25, 2024

Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks
Yuang Wei, Yizhou Zhou, Yuan-Hao Jiang, Bo Jiang
High Explainability Causal Knowledge Causal Network Knowledge Structure Learning Path

April 16, 2024

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
Yuqi Wang, Boran Jiang, Yi Luo, Dawei He, Peng Cheng, Liangcai Gao
Large Language Model Language Model Knowledge Graph Complex Reasoning Multi Hop Reasoning Reasoning Path Background Knowledge Domain Specific Question Answering Learning Path

January 24, 2024

Clue-Guided Path Exploration: Optimizing Knowledge Graph Retrieval with Large Language Models to Address the Information Black Box Challenge
Dehao Tao, Feng Huang, Congqi Wang, Yongfeng Huang, Minghu Jiang
Large Language Model Knowledge Graph New Framework Knowledge Base Learning Path Path Exploration

May 8, 2023

Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning
Jyun-Yi Chen, Saeed Saeedvand, I-Wei Lai
Reinforcement Learning Knowledge Tracing Adaptive Learning Learning Path

January 11, 2023

Learnable Path in Neural Controlled Differential Equations
Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim
Neural Ordinary Differential Equation Differential Equation Time Series Analysis Traditional RNNs Sampled Time Series Learning Path

August 17, 2022

NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education
Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang
LeArning Abstract Synthetic Data Causal Relationship Education Domain Practical Guide Knowledge Acquisition Causal Insight Learning Path

March 4, 2022

Better Supervisory Signals by Observing Learning Paths
Yi Ren, Shangmin Guo, Danica J. Sutherland
Knowledge Distillation Supervised Learning Label Smoothing Label Refinement Supervision Signal Novel Knowledge Distillation Learning Path

Learning Path

Papers

Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations

Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform

Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering

Clue-Guided Path Exploration: Optimizing Knowledge Graph Retrieval with Large Language Models to Address the Information Black Box Challenge

Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning

Learnable Path in Neural Controlled Differential Equations

NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education

Better Supervisory Signals by Observing Learning Paths