A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …
A survey of knowledge tracing: Models, variants, and applications
Modern online education has the capacity to provide intelligent educational services by
automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …
automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …
Improving the validity of automatically generated feedback via reinforcement learning
Automatically generating feedback via large language models (LLMs) in intelligent tutoring
systems and online learning platforms has the potential to improve the learning outcomes of …
systems and online learning platforms has the potential to improve the learning outcomes of …
Algebra error classification with large language models
Automated feedback as students answer open-ended math questions has significant
potential in improving learning outcomes at large scale. A key part of automated feedback …
potential in improving learning outcomes at large scale. A key part of automated feedback …
Tree-based representation and generation of natural and mathematical language
A Scarlatos, A Lan - arXiv preprint arXiv:2302.07974, 2023 - arxiv.org
Mathematical language in scientific communications and educational scenarios is important
yet relatively understudied compared to natural languages. Recent works on mathematical …
yet relatively understudied compared to natural languages. Recent works on mathematical …
Code soliloquies for accurate calculations in large language models
High-quality conversational datasets are crucial for the successful development of Intelligent
Tutoring Systems (ITS) that utilize a Large Language Model (LLM) backend. Synthetic …
Tutoring Systems (ITS) that utilize a Large Language Model (LLM) backend. Synthetic …
Exploring automated distractor generation for math multiple-choice questions via large language models
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they
are easy to administer, grade, and are a reliable format in assessments and practices. One …
are easy to administer, grade, and are a reliable format in assessments and practices. One …
Navigating the Landscape of Hint Generation Research: From the Past to the Future
Digital education has gained popularity in the last decade, especially after the COVID-19
pandemic. With the improving capabilities of large language models to reason and …
pandemic. With the improving capabilities of large language models to reason and …
Improving socratic question generation using data augmentation and preference optimization
The Socratic method is a way of guiding students toward solving a problem independently
without directly revealing the solution to the problem. Although this method has been shown …
without directly revealing the solution to the problem. Although this method has been shown …
Explainable few-shot knowledge tracing
Knowledge tracing (KT), aiming to mine students' mastery of knowledge by their exercise
records and predict their performance on future test questions, is a critical task in …
records and predict their performance on future test questions, is a critical task in …