Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
A review of research on machine learning in educational technology
C Korkmaz, AP Correia - Educational Media International, 2019 - Taylor & Francis
The purpose of this review is to investigate the trends in the body of research on machine
learning in educational technologies, published between 2007 and 2017. The criteria for …
learning in educational technologies, published between 2007 and 2017. The criteria for …
Neural-fuzzy with representative sets for prediction of student performance
In this paper, a new method for handling the Multi-Input Multi-Output Student Academic
Performance Prediction (MIMO SAPP) problem is proposed. The MIMO SAPP aims to predict …
Performance Prediction (MIMO SAPP) problem is proposed. The MIMO SAPP aims to predict …
Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system
Predicting students at risk of academic failure is valuable for higher education institutions to
improve student performance. During the pandemic, with the transition to compulsory …
improve student performance. During the pandemic, with the transition to compulsory …
Fuzzy-based active learning for predicting student academic performance using autoML: a step-wise approach
Predicting students' learning outcomes is one of the main topics of interest in the area of
Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning …
Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning …
Meta-analysis of student performance assessment using fuzzy logic
The assessment system generally requires transparency and objectivity to assess student
performance in terms of abstraction. Fuzzy logic method has been used as one of the best …
performance in terms of abstraction. Fuzzy logic method has been used as one of the best …
An extensive study and comparison of the various approaches to object detection using deep learning
Smart spaces are specialized environments developed to enable the automatic monitoring
of events in a monitored setting. Smart surveillance uses deep learning for object detection …
of events in a monitored setting. Smart surveillance uses deep learning for object detection …
A comprehensive adaptive system for e-learning of foreign languages
V Bradac, B Walek - Expert systems with applications, 2017 - Elsevier
The article presents a proposal, design and implementation of a new approach to adaptive e-
learning systems. First, a proposal of a model is presented. This model aims at introducing …
learning systems. First, a proposal of a model is presented. This model aims at introducing …
A fuzzy model for reasoning and predicting student's academic performance
Evaluating students' academic performance is crucial for assessing the quality of education
and educational strategies. However, it can be challenging to predict and evaluate …
and educational strategies. However, it can be challenging to predict and evaluate …
Data augmentation and deep neuro-fuzzy network for student performance prediction with MapReduce framework
AJ Baruah, S Baruah - International Journal of Automation and Computing, 2021 - Springer
The main aim of an educational institute is to offer high-quality education to students. The
system to achieve better quality in the educational system is to find the knowledge from …
system to achieve better quality in the educational system is to find the knowledge from …