AI-based personalized e-learning systems: Issues, challenges, and solutions

M Murtaza, Y Ahmed, JA Shamsi, F Sherwani… - IEEE …, 2022 - ieeexplore.ieee.org
A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

Proactive and reactive engagement of artificial intelligence methods for education: a review

S Mallik, A Gangopadhyay - Frontiers in artificial intelligence, 2023 - frontiersin.org
The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

A survey on deep learning based knowledge tracing

X Song, J Li, T Cai, S Yang, T Yang, C Liu - Knowledge-Based Systems, 2022 - Elsevier
Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of
online education that seeks to assess students' mastery of a concept based on their …

Let gpt be a math tutor: Teaching math word problem solvers with customized exercise generation

Z Liang, W Yu, T Rajpurohit, P Clark, X Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we present a novel approach for distilling math word problem solving
capabilities from large language models (LLMs) into smaller, more efficient student models …

pyKT: a python library to benchmark deep learning based knowledge tracing models

Z Liu, Q Liu, J Chen, S Huang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Abstract Knowledge tracing (KT) is the task of using students' historical learning interaction
data to model their knowledge mastery over time so as to make predictions on their future …

Adapting large language models for education: Foundational capabilities, potentials, and challenges

Q Li, L Fu, W Zhang, X Chen, J Yu, W Xia… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Progressive knowledge tracing: Modeling learning process from abstract to concrete

J Sun, M Wei, J Feng, F Yu, Q Li, R Zou - Expert Systems with Applications, 2024 - Elsevier
Artificial intelligence has the potential to revolutionize education by providing personalized
learning experiences that support the dream of “teaching students according to their …

Large language models for education: A survey and outlook

S Wang, T Xu, H Li, C Zhang, J Liang, J Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Learning consistent representations with temporal and causal enhancement for knowledge tracing

C Huang, H Wei, Q Huang, F Jiang, Z Han… - Expert Systems with …, 2024 - Elsevier
Abstract Knowledge tracing is a crucial component of intelligent educational systems and
deep learning technologies have significantly propelled its advancement. However, most …

A survey of knowledge tracing: Models, variants, and applications

S Shen, Q Liu, Z Huang, Y Zheng, M Yin… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Modern online education has the capacity to provide intelligent educational services by
automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …