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 …
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 …
Learning process-consistent knowledge tracing
Knowledge tracing (KT), which aims to trace students' changing knowledge state during their
learning process, has improved students' learning efficiency in online learning systems …
learning process, has improved students' learning efficiency in online learning systems …
Saint+: Integrating temporal features for ednet correctness prediction
We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing
model that separately processes exercise information and student response information …
model that separately processes exercise information and student response information …
Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships
Deep learning methods have recently shown a broad application prospect in rainfall-runoff
modeling. However, the lack of physical mechanism becomes a major limitation in using …
modeling. However, the lack of physical mechanism becomes a major limitation in using …
RETRACTED ARTICLE: Distance learning impact on the English language teaching during COVID-19
MI Kamal, S Zubanova, A Isaeva… - Education and Information …, 2021 - Springer
These days, distance learning has almost completely replaced traditional teaching methods
due to the COVID-19 pandemic and the introduction of quarantine measures. A sharp rise in …
due to the COVID-19 pandemic and the introduction of quarantine measures. A sharp rise in …
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 …
Learning behavior-oriented knowledge tracing
Exploring how learners' knowledge states evolve during the learning activities is a critical
task in online learning systems, which can facilitate personalized services downstream, such …
task in online learning systems, which can facilitate personalized services downstream, such …
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 …