Knowledge tracing: A survey
Humans' ability to transfer knowledge through teaching is one of the essential aspects for
human intelligence. A human teacher can track the knowledge of students to customize the …
human intelligence. A human teacher can track the knowledge of students to customize the …
AI-based personalized e-learning systems: Issues, challenges, and solutions
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 …
compared to a conventional e-learning system, which provides similar contents to each …
A survey of knowledge tracing
High-quality education is one of the keys to achieving a more sustainable world. In contrast
to traditional face-to-face classroom education, online education enables us to record and …
to traditional face-to-face classroom education, online education enables us to record and …
RCD: Relation map driven cognitive diagnosis for intelligent education systems
Cognitive diagnosis (CD) is a fundamental issue in intelligent educational settings, which
aims to discover the mastery levels of students on different knowledge concepts. In general …
aims to discover the mastery levels of students on different knowledge concepts. In general …
Improving interpretability of deep sequential knowledge tracing models with question-centric cognitive representations
Abstract Knowledge tracing (KT) is a crucial technique to predict students' future
performance by observing their historical learning processes. Due to the powerful …
performance by observing their historical learning processes. Due to the powerful …
Assessing student's dynamic knowledge state by exploring the question difficulty effect
Knowledge Tracing (KT), which aims to assess students' dynamic knowledge states when
practicing on various questions, is a fundamental research task for offering intelligent …
practicing on various questions, is a fundamental research task for offering intelligent …
pyKT: a python library to benchmark deep learning based knowledge tracing models
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 …
data to model their knowledge mastery over time so as to make predictions on their future …
Proactive and reactive engagement of artificial intelligence methods for education: a review
The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …
tools and platforms. In recent years, artificial intelligence based methods are being …
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 …