[HTML][HTML] AI technologies for education: Recent research & future directions
K Zhang, AB Aslan - Computers and Education: Artificial Intelligence, 2021 - Elsevier
From unique educational perspectives, this article reports a comprehensive review of
selected empirical studies on artificial intelligence in education (AIEd) published in 1993 …
selected empirical studies on artificial intelligence in education (AIEd) published in 1993 …
A systematic literature review of student'performance prediction using machine learning techniques
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …
contributing state-of-the-art methods, techniques, and applications. The recent development …
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 …
Predicting academic performance of students from VLE big data using deep learning models
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …
learning platforms, provides opportunities to mine learning behavior of students, addressing …
A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …
available unprecedented massive amount of data. The capability to process these gigantic …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
Student retention using educational data mining and predictive analytics: a systematic literature review
Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …
rates, which are accumulated as students re-enroll from one academic year to the next. High …
An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment
Abstract Detection of Denial of Service (DoS) attack is one of the most critical issues in cloud
computing. The attack detection framework is very complex due to the nonlinear thought of …
computing. The attack detection framework is very complex due to the nonlinear thought of …
Electricity theft detection in smart grids based on deep neural network
Electricity theft is a global problem that negatively affects both utility companies and
electricity users. It destabilizes the economic development of utility companies, causes …
electricity users. It destabilizes the economic development of utility companies, causes …
Prediction of students' early dropout based on their interaction logs in online learning environment
AA Mubarak, H Cao, W Zhang - Interactive Learning Environments, 2022 - Taylor & Francis
Online learning has become more popular in higher education since it adds convenience
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …