Knowledge tracing: A survey
G Abdelrahman, Q Wang, B Nunes - ACM Computing Surveys, 2023 - dl.acm.org
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 on deep learning based knowledge tracing
Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of
online education that seeks to assess students' mastery of a concept based on their …
online education that seeks to assess students' mastery of a concept based on their …
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 …
Knowledge tracing machines: Factorization machines for knowledge tracing
Abstract Knowledge tracing is a sequence prediction problem where the goal is to predict
the outcomes of students over questions as they are interacting with a learning platform. By …
the outcomes of students over questions as they are interacting with a learning platform. By …
Field-weighted factorization machines for click-through rate prediction in display advertising
Click-through rate (CTR) prediction is a critical task in online display advertising. The data
involved in CTR prediction are typically multi-field categorical data, ie, every feature is …
involved in CTR prediction are typically multi-field categorical data, ie, every feature is …
Educational data mining techniques for student performance prediction: method review and comparison analysis
Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
Next-term student performance prediction: A recommender systems approach
An enduring issue in higher education is student retention to successful graduation. National
statistics indicate that most higher education institutions have four-year degree completion …
statistics indicate that most higher education institutions have four-year degree completion …
MOOC performance prediction via clickstream data and social learning networks
CG Brinton, M Chiang - 2015 IEEE conference on computer …, 2015 - ieeexplore.ieee.org
We study student performance prediction in Massive Open Online Courses (MOOCs), where
the objective is to predict whether a user will be Correct on First Attempt (CFA) in answering …
the objective is to predict whether a user will be Correct on First Attempt (CFA) in answering …
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 …
Grade prediction with models specific to students and courses
The accurate estimation of students' grades in future courses is important as it can inform the
selection of next term's courses and create personalized degree pathways to facilitate …
selection of next term's courses and create personalized degree pathways to facilitate …