How does learning analytics contribute to prevent students' dropout in higher education: a systematic literature review
CF de Oliveira, SR Sobral, MJ Ferreira… - Big Data and Cognitive …, 2021 - mdpi.com
Retention and dropout of higher education students is a subject that must be analysed
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …
University dropout prediction through educational data mining techniques: A systematic review
The dropout rates in the European countries is one of the major issues to be faced in a near
future as stated in the Europe 2020 strategy. In 2017, an average of 10.6% of young people …
future as stated in the Europe 2020 strategy. In 2017, an average of 10.6% of young people …
[HTML][HTML] Uplift Modeling for preventing student dropout in higher education
Uplift modeling is an approach for estimating the incremental effect of an action or treatment
at the individual level. It has gained attention in the marketing and analytics communities …
at the individual level. It has gained attention in the marketing and analytics communities …
Towards a students' dropout prediction model in higher education institutions using machine learning algorithms
Using machine learning to predict students' dropout in higher education institutions and
programs has proven to be effective in many use cases. In an approach based on machine …
programs has proven to be effective in many use cases. In an approach based on machine …
Integrating LA and EDM for improving students Success in higher Education using FCN algorithm
EDM and LA are two fields that study how to use facts to get more academic learning and
enhance the students' entire performance. Both areas are concerned with a broad range of …
enhance the students' entire performance. Both areas are concerned with a broad range of …
Implementation of data mining for drop-out prediction using random forest method
Accreditation is one of the quality measurements for a University. Some elements of these
measurements are students and graduate students. Prevention of students to drop out is a …
measurements are students and graduate students. Prevention of students to drop out is a …
[HTML][HTML] Factors and conditions that affect the goodness of machine learning models for predicting the success of learning
The process for building effective machine learning models that predict the learning success
of university students, the competences of the actors involved in model building, and the …
of university students, the competences of the actors involved in model building, and the …
Forecasting Students Dropout: A UTAD University Study
In Portugal, the dropout rate of university courses is around 29%. Understanding the
reasons behind such a high desertion rate can drastically improve the success of students …
reasons behind such a high desertion rate can drastically improve the success of students …
A machine learning approach to Predict the Engineering Students at risk of dropout and factors behind: Bangladesh Perspective
Dropout rate in Bangladeshi universities getting high day by day. Especially in engineering
subjects. Massive number of students taking various engineering subjects for their under …
subjects. Massive number of students taking various engineering subjects for their under …
How to customize an early start preparatory course policy to improve student graduation success: an application of uplift modeling
Y Tanai, K Ciftci - Annals of Operations Research, 2023 - Springer
Improving student graduation is of utmost importance for higher education institutions, both
public and private. The key contribution of this study is to apply the uplift modeling …
public and private. The key contribution of this study is to apply the uplift modeling …