The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies
Artificial intelligence (AI) technologies are used in many dimensions of our lives, including
education. Motivated by the increasing use of AI technologies and the current state of the art …
education. Motivated by the increasing use of AI technologies and the current state of the art …
Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …
Deep learning models to predict vital academic outcomes based on different kinds and …
Improving Learning Outcomes through Predictive Analytics: Enhancing Teaching and Learning with Educational Data Mining
A Alam - 2023 7th International Conference on Intelligent …, 2023 - ieeexplore.ieee.org
Educational Data Mining (EDM) is a promising area of research that leverages
computational methods to improve educational outcomes by extracting valuable insights …
computational methods to improve educational outcomes by extracting valuable insights …
Predicting academic success in higher education: literature review and best practices
E Alyahyan, D Düştegör - … Journal of Educational Technology in Higher …, 2020 - Springer
Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …
the institution's performance. Early detection of students at risk, along with preventive …
AI-based personalized e-learning systems: Issues, challenges, and solutions
A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …
compared to a conventional e-learning system, which provides similar contents to each …
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 …
Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
Educational data mining: Predictive analysis of academic performance of public school students in the capital of Brazil
In this article, we present a predictive analysis of the academic performance of students in
public schools of the Federal District of Brazil during the school terms of 2015 and 2016 …
public schools of the Federal District of Brazil during the school terms of 2015 and 2016 …
Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …
proposed and implemented, most of which are able to find good quality clustering results …
Interpretable dropout prediction: towards XAI-based personalized intervention
M Nagy, R Molontay - International Journal of Artificial Intelligence in …, 2024 - Springer
Student drop-out is one of the most burning issues in STEM higher education, which induces
considerable social and economic costs. Using machine learning tools for the early …
considerable social and economic costs. Using machine learning tools for the early …