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 …
A systematic literature review and classification of knowledge discovery in traditional medicine
Abstract Introduction and Objective Despite the importance of machine learning methods
application in traditional medicine there is a no systematic literature review and a …
application in traditional medicine there is a no systematic literature review and a …
Student performance prediction model based on supervised machine learning algorithms
AS Hashim, WA Awadh… - IOP conference series …, 2020 - iopscience.iop.org
Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from dropping …
subject. Forecasting student success can enable teachers to prevent students from dropping …
Receiver operating characteristic (ROC) area under the curve (AUC): A diagnostic measure for evaluating the accuracy of predictors of education outcomes
Abstract Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently
emerged as an attractive domain for states and school districts interested in predicting …
emerged as an attractive domain for states and school districts interested in predicting …
[图书][B] Learning analytics explained
N Sclater - 2017 - taylorfrancis.com
Learning Analytics Explained draws extensively from case studies and interviews with
experts in order to discuss emerging applications of the new field of learning analytics …
experts in order to discuss emerging applications of the new field of learning analytics …
MCRS: A course recommendation system for MOOCs
H Zhang, T Huang, Z Lv, SY Liu, Z Zhou - Multimedia Tools and …, 2018 - Springer
With the popularization development of MOOC platform, the number of online courses grows
rapidly. Efficient and appropriate course recommendation can improve learning efficiency …
rapidly. Efficient and appropriate course recommendation can improve learning efficiency …
Interpretable multiview early warning system adapted to underrepresented student populations
A Cano, JD Leonard - IEEE Transactions on Learning …, 2019 - ieeexplore.ieee.org
Early warning systems have been progressively implemented in higher education
institutions to predict student performance. However, they usually fail at effectively …
institutions to predict student performance. However, they usually fail at effectively …
Data mining models for student careers
R Campagni, D Merlini, R Sprugnoli… - Expert Systems with …, 2015 - Elsevier
This paper presents a data mining methodology to analyze the careers of University
graduated students. We present different approaches based on clustering and sequential …
graduated students. We present different approaches based on clustering and sequential …
Analyzing large collections of open-ended feedback from MOOC learners using LDA topic modeling and qualitative analysis
G Nanda, KA Douglas, DR Waller… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
There is a large variation in background and purpose of massive open online course
(MOOC) learners. To improve the overall MOOC learning experience, it is important to …
(MOOC) learners. To improve the overall MOOC learning experience, it is important to …
[HTML][HTML] Artificial intelligence for personalized preventive adolescent healthcare
Recent advances in artificial intelligence (AI) are creating new opportunities for
personalizing technology-based health interventions to adolescents. This article provides a …
personalizing technology-based health interventions to adolescents. This article provides a …