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References from Machine learning approach to student performance prediction of online learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Multi-layer Adaptive Fuzzy Inference System for Predicting Student Performance in Online Higher Education
10.1109/tla.2021.9423852 · 2021 · External reference
Early Predicting of Students Performance in Higher Education
10.1109/access.2023.3250702 · 2023 · External reference
Multiclass Prediction Model for Student Grade Prediction Using Machine Learning
10.1109/access.2021.3093563 · 2021 · External reference
Predicting academic performance of students using a hybrid data mining approach
10.1007/s10916-019-1295-4 · 2019 · External reference
Educational data mining: Prediction of students’ academic performance using machine learning algorithms
10.1186/s40561-022-00192-z · 2022 · External reference
10.1007/978-3-031-23618-1_8
10.1007/978-3-031-23618-1_8 · External reference
10.1109/tale52509.2021.9678811
10.1109/tale52509.2021.9678811 · External reference
Predicting academic success in higher education: Literature review and best practices
10.1186/s41239-020-0177-7 · 2020 · External reference
Prediction of academic performance at undergraduate graduation: Course grades or grade point average
10.3390/app10144967 · 2020 · External reference
AnalysisofthefactorsinfluencingLearners’performancepredictionwith learning analytics
2020 · External reference
Graphs regularized robust matrix factorization and its application on student grade prediction
10.3390/app10051755 · 2020 · External reference
Improving quality of educational processes providing new knowledge using data mining techniques
10.1016/j.sbspro.2014.07.117 · 2014 · External reference
Data mining applications in university information management system development
2022 · External reference
EDM-survey of performance factors and algorithms applied
10.14419/ijet.v7i2.6.10074 · 2018 · External reference
10.1007/978-981-16-5559-3_14
10.1007/978-981-16-5559-3_14 · External reference
Using process mining to analyze students’ quiz-taking behavior patterns in a learning management system
10.1016/j.chb.2017.12.015 · 2019 · External reference
Using Educational Data Mining Techniques to Identify Profiles in Self-Regulated Learning: An Empirical Evaluation
2022 · External reference
Unresolved reference
2021 · External reference
10.4018/978-1-6684-6315-4.ch022
10.4018/978-1-6684-6315-4.ch022 · External reference
Unresolved reference
External reference
Application of Educational Data Mining Approach for Student Academic Performance Prediction Using Progressive Temporal Data
10.1177/07356331211048777 · 2022 · External reference
Analysis and Prediction of Students’ Academic Performance and Employability Using Data Mining Techniques: A Research Travelogue
10.55549/epstem.1068566 · 2021 · External reference
Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis
10.3389/fpsyg.2021.698490 · 2021 · External reference
Educational data mining and learning analytics for 21st century higher education: A review and synthesis
10.1016/j.tele.2019.01.007 · 2019 · External reference
Big educational data & analytics: Survey, architecture and challenges
10.1109/access.2020.2994561 · 2020 · External reference
10.1145/3293881.3295783
10.1145/3293881.3295783 · External reference
Prediction of student’s performance by modelling small dataset size
10.1186/s41239-019-0160-3 · 2019 · External reference
Predicting student performance from LMS data: A comparison of 17 blended courses using Moodle LMS
10.1109/tlt.2016.2616312 · 2017 · External reference
Deep learning with data transformation and factor analysis for student performance prediction
2020 · External reference
An empirical study for student academic performance prediction using machine learning techniques
2020 · External reference
Developing classifiers through machine learning algorithms for student placement prediction based on academic performance
10.1080/08839514.2021.1901032 · 2021 · External reference
An improved early student’s academic performance prediction using deep learning
10.3991/ijet.v16i12.20699 · 2021 · External reference
Survey on current trends and techniques of data mining research
2017 · External reference
10.1145/3291801.3291828
10.1145/3291801.3291828 · External reference
Educational data mining using R programming and R studio
2015 · External reference
Exploring online activities to predict the final grade of student
10.3390/math10203758 · 2022 · External reference
Educational data mining model using rattle
10.14569/ijacsa.2014.050605 · 2014 · External reference
Using machine learning to predict student difficulties from learning session data
10.1007/s10462-018-9620-8 · 2019 · External reference
Predicting student performance and its influential factors using hybrid regression and multi-label classification
10.1109/access.2020.3036572 · 2020 · External reference
10.1109/i2cacis52118.2021.9495862
10.1109/i2cacis52118.2021.9495862 · External reference
An approach for improved students’ performance prediction using homogeneous and heterogeneous ensemble methods
2022 · External reference
10.1109/iciba50161.2020.9277084
10.1109/iciba50161.2020.9277084 · External reference
10.1007/978-981-16-3941-8_13
10.1007/978-981-16-3941-8_13 · 2021 · External reference
Prediction of student academic performance using Moodle data from a Further Education setting
2020 · External reference
10.1145/3291801.3291828
10.1145/3291801.3291828 · External reference
Predicting students’ performance in e-learning using learning process and behaviour data
10.1038/s41598-021-03867-8 · 2020 · External reference
Predict students’ academic performance based on their assessment grades and online activity data
2020 · External reference
Educational data mining: Prediction of students’ academic performance using machine learning algorithms
2022 · External reference
Dimension reduction-based penalized logistic regression for cancer classification using microarray data
10.1109/tcbb.2005.22 · 2005 · External reference