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The application of AI technologies in STEM education: a systematic review from 2011 to 2021
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 …
Artificial intelligence in education research during 2013–2023: A review based on bibliometric analysis
Abstract Research on Artificial Intelligence in Education (AIED) has rapidly progressed in
recent years, and understanding the research trends and development is essential for …
recent years, and understanding the research trends and development is essential for …
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 …
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 …
Towards predicting student's dropout in university courses using different machine learning techniques
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 …
Causes of academic dropout in higher education in Andalusia and proposals for its prevention at university: A systematic review
Introduction One of the main problems facing the university system is the high student
dropout rate due to a number of variables, accentuated by the COVID-19 pandemic. This is a …
dropout rate due to a number of variables, accentuated by the COVID-19 pandemic. This is a …
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 …
Learning analytics in distance education: A systematic review study
This study aims to reveal the main trends and findings of the studies examining the use of
learning analytics in distance education. For this purpose, journal articles indexed in the …
learning analytics in distance education. For this purpose, journal articles indexed in the …