The application of AI technologies in STEM education: a systematic review from 2011 to 2021
W Xu, F Ouyang - International Journal of STEM Education, 2022 - Springer
Background The application of artificial intelligence (AI) in STEM education (AI-STEM), as an
emerging field, is confronted with a challenge of integrating diverse AI techniques and …
emerging field, is confronted with a challenge of integrating diverse AI techniques and …
Utilising learning analytics to support study success in higher education: a systematic review
Study success includes the successful completion of a first degree in higher education to the
largest extent, and the successful completion of individual learning tasks to the smallest …
largest extent, and the successful completion of individual learning tasks to the smallest …
How does learning analytics contribute to prevent students' dropout in higher education: a systematic literature review
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 …
Towards predicting student's dropout in university courses using different machine learning techniques
J Kabathova, M Drlik - Applied Sciences, 2021 - mdpi.com
Featured Application The found model with the best values of the performance metrics,
found as the result of comparing several machine learning classifiers, can identify students …
found as the result of comparing several machine learning classifiers, can identify students …
On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …
methods to answer education-related problems based on the analysis of educational data …
Using learning analytics in the Amazonas: understanding students' behaviour in introductory programming
Tools for automatic grading programming assignments, also known as Online Judges, have
been widely used to support computer science (CS) courses. Nevertheless, few studies …
been widely used to support computer science (CS) courses. Nevertheless, few studies …
Early prediction of learners at risk in self-paced education: A neural network approach
To address the demands of modern education and increase flexibility, many higher
education institutions are considering self-paced education programs. However, student …
education institutions are considering self-paced education programs. However, student …
Reflections on different learning analytics indicators for supporting study success
Common factors, which are related to study success include students' sociodemographic
factors, cognitive capacity, or prior academic performance, and individual attributes as well …
factors, cognitive capacity, or prior academic performance, and individual attributes as well …
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 …
Early prediction of dropout and final exam performance in an online statistics course
J Figueroa-Cañas… - … de Tecnologias del …, 2020 - ieeexplore.ieee.org
Higher education students who either do not complete the courses they have enrolled on or
interrupt their studies indefinitely remain a major concern for practitioners and researchers …
interrupt their studies indefinitely remain a major concern for practitioners and researchers …