A systematic review of deep learning approaches to educational data mining
Educational Data Mining (EDM) is a research field that focuses on the application of data
mining, machine learning, and statistical methods to detect patterns in large collections of …
mining, machine learning, and statistical methods to detect patterns in large collections of …
Predicting at-risk students at different percentages of course length for early intervention using machine learning models
Online learning platforms such as Massive Open Online Course (MOOC), Virtual Learning
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …
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 …
[PDF][PDF] Tinjauan pustaka sistematis: implementasi metode deep learning pada prediksi kinerja murid
MH Diponegoro… - Jurnal …, 2021 - download.garuda.kemdikbud.go.id
The use of machine learning, which is one of the implementations in the field of artificial
intelligence, has penetrated into various fields, including education. By using a combination …
intelligence, has penetrated into various fields, including education. By using a combination …
Predictive analytics in education: a comparison of deep learning frameworks
Large swaths of data are readily available in various fields, and education is no exception. In
tandem, the impetus to derive meaningful insights from data gains urgency. Recent …
tandem, the impetus to derive meaningful insights from data gains urgency. Recent …
Linear support vector machines for prediction of student performance in school‐based education
Educational Data Mining (EDM) is a rich research field in computer science. Tools and
techniques in EDM are useful to predict student performance which gives practitioners …
techniques in EDM are useful to predict student performance which gives practitioners …
Dynamic cognitive diagnosis: An educational priors-enhanced deep knowledge tracing perspective
To provide personalized support on educational platforms, it is crucial to model the evolution
of students' knowledge states. Knowledge tracing is one of the most popular technologies for …
of students' knowledge states. Knowledge tracing is one of the most popular technologies for …
Monitoring student progress for learning process-consistent knowledge tracing
Knowledge tracing (KT) is the task of tracing students' evolving knowledge state during
learning, which has improved the learning efficiency. To facilitate KT's development, most …
learning, which has improved the learning efficiency. To facilitate KT's development, most …
An introduction to Bayesian knowledge tracing with pyBKT
This study aims to introduce Bayesian Knowledge Tracing (BKT), a probabilistic model used
in educational data mining to estimate learners' knowledge states over time. It also provides …
in educational data mining to estimate learners' knowledge states over time. It also provides …
R2DE: a NLP approach to estimating IRT parameters of newly generated questions
L Benedetto, A Cappelli, R Turrin… - Proceedings of the tenth …, 2020 - dl.acm.org
The main objective of exams consists in performing an assessment of students' expertise on
a specific subject. Such expertise, also referred to as skill or knowledge level, can then be …
a specific subject. Such expertise, also referred to as skill or knowledge level, can then be …