Enhancing deep knowledge tracing with auxiliary tasks
Knowledge tracing (KT) is the problem of predicting students' future performance based on
their historical interactions with intelligent tutoring systems. Recent studies have applied …
their historical interactions with intelligent tutoring systems. Recent studies have applied …
Xes3g5m: A knowledge tracing benchmark dataset with auxiliary information
Abstract Knowledge tracing (KT) is a task that predicts students' future performance based
on their historical learning interactions. With the rapid development of deep learning …
on their historical learning interactions. With the rapid development of deep learning …
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 …
Monitoring student progress for learning process-consistent knowledge tracing
Knowledge tracing (KT) is the task of tracing students' evolving knowledge state during
learning, which has improved the learning efficiency. To facilitate KT's development, most …
learning, which has improved the learning efficiency. To facilitate KT's development, most …
Exploiting multiple question factors for knowledge tracing
Y Zhao, H Ma, W Wang, W Gao, F Yang, X He - Expert Systems with …, 2023 - Elsevier
Abstract Knowledge Tracing (KT) aims to predict future students' performance via their
responses to a sequence of questions, which serves as a fundamental task for intelligent …
responses to a sequence of questions, which serves as a fundamental task for intelligent …
Response speed enhanced fine-grained knowledge tracing: A multi-task learning perspective
The primary objective of knowledge tracing (KT) is to trace learners' changing knowledge
states and predict their future performance by analyzing their learning trajectories. One of …
states and predict their future performance by analyzing their learning trajectories. One of …
Path-specific causal reasoning for fairness-aware cognitive diagnosis
Cognitive Diagnosis (CD), which leverages students and exercise data to predict students'
proficiency levels on different knowledge concepts, is one of fundamental components in …
proficiency levels on different knowledge concepts, is one of fundamental components in …
DGEKT: a dual graph ensemble learning method for knowledge tracing
Knowledge tracing aims to trace students' evolving knowledge states by predicting their
future performance on concept-related exercises. Recently, some graph-based models have …
future performance on concept-related exercises. Recently, some graph-based models have …
simpleKT: a simple but tough-to-beat baseline for knowledge tracing
Knowledge tracing (KT) is the problem of predicting students' future performance based on
their historical interactions with intelligent tutoring systems. Recently, many works present …
their historical interactions with intelligent tutoring systems. Recently, many works present …
LGS-KT: Integrating logical and grammatical skills for effective programming knowledge tracing
Abstract Knowledge tracing (KT) estimates students' mastery of knowledge concepts or skills
by analyzing their historical interactions. Although general KT methods have effectively …
by analyzing their historical interactions. Although general KT methods have effectively …