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Intelligent techniques in e-learning: a literature review
Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …
imposed isolation measures and closed schools and campuses. Consequently, teachers …
Hybrid models for knowledge tracing: A systematic literature review
Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how
the knowledge state of students changes during the learning process and accurately …
the knowledge state of students changes during the learning process and accurately …
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 …
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 …
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 …
Semantics of the black-box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
The recent series of innovations in deep learning (DL) have shown enormous potential to
impact individuals and society, both positively and negatively. DL models utilizing massive …
impact individuals and society, both positively and negatively. DL models utilizing massive …
Structure-based knowledge tracing: An influence propagation view
Knowledge Tracing (KT) is a fundamental but challenging task in online education that
traces learners' evolving knowledge states. Much attention has been drawn to this area and …
traces learners' evolving knowledge states. Much attention has been drawn to this area and …
EXAIT: Educational eXplainable artificial intelligent tools for personalized learning
As artificial intelligence systems increasingly make high-stakes recommendations and
decisions automatically in many facets of our lives, the use of explainable artificial …
decisions automatically in many facets of our lives, the use of explainable artificial …
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 …
Modeling context-aware features for cognitive diagnosis in student learning
The contexts and cultures have a direct impact on student learning by affecting student's
implicit cognitive states, such as the preference and the proficiency on specific knowledge …
implicit cognitive states, such as the preference and the proficiency on specific knowledge …