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 …
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 …
Educational data mining: prediction of students' academic performance using machine learning algorithms
M Yağcı - Smart Learning Environments, 2022 - Springer
Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …
in educational data and predicting students' academic achievements. This study proposes a …
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced
computing technologies, AI performance prediction model is widely used to identify at-risk …
computing technologies, AI performance prediction model is widely used to identify at-risk …
Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework
Artificial intelligence (AI) affects human resource management (HRM), and in so doing, it is
transforming the nature of work, workers and workplaces. While AI-assisted HRM is …
transforming the nature of work, workers and workplaces. While AI-assisted HRM is …
Can digital technologies improve students' efficiency? Exploring the role of Virtual Learning Environment and Social Media use in Higher Education
Abstract Digital technologies, including Virtual Learning Environment (VL) and Social Media
(SM), are well adopted in the Higher Education (HE) setting, yet little is known about the role …
(SM), are well adopted in the Higher Education (HE) setting, yet little is known about the role …
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 …
A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms
E Dimitriadou, A Lanitis - Smart Learning Environments, 2023 - Springer
Abstract The term" Smart Classroom" has evolved over time and nowadays reflects the
technological advancements incorporated in educational spaces. The rapid advances in …
technological advancements incorporated in educational spaces. The rapid advances in …
[PDF][PDF] Early prediction of student learning performance through data mining: A systematic review
Abstract Resumen Background: Early prediction of students' learning performance using
data mining techniques is an important topic these days. The purpose of this literature …
data mining techniques is an important topic these days. The purpose of this literature …
Deep analytic model for student dropout prediction in massive open online courses
AA Mubarak, H Cao, IM Hezam - Computers & Electrical Engineering, 2021 - Elsevier
Predicting students' performance is critical in Massive Open Online Courses (MOOCs) in
order to benefit from many aspects such as students' retention and make timely …
order to benefit from many aspects such as students' retention and make timely …