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 …
Mining big data in education: Affordances and challenges
The emergence of big data in educational contexts has led to new data-driven approaches
to support informed decision making and efforts to improve educational effectiveness. Digital …
to support informed decision making and efforts to improve educational effectiveness. Digital …
Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
Using machine learning to predict student difficulties from learning session data
The student's performance prediction is an important research topic because it can help
teachers prevent students from dropping out before final exams and identify students that …
teachers prevent students from dropping out before final exams and identify students that …
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 …
A systematic review on machine learning models for online learning and examination systems
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
Prediction in MOOCs: A review and future research directions
PM Moreno-Marcos, C Alario-Hoyos… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper surveys the state of the art on prediction in MOOCs through a systematic
literature review (SLR). The main objectives are: first, to identify the characteristics of the …
literature review (SLR). The main objectives are: first, to identify the characteristics of the …
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 …
SGKT: Session graph-based knowledge tracing for student performance prediction
Abstract Knowledge tracing is a modeling method of students' knowledge mastery. The deep
knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …
knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …
[HTML][HTML] Learning behaviours data in programming education: Community analysis and outcome prediction with cleaned data
Due to the COVID19 pandemic, more higher-level education programmes have moved to
online channels, raising issues in monitoring students' learning progress. Thanks to …
online channels, raising issues in monitoring students' learning progress. Thanks to …