A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour
Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a
research domain, never before has the rapid evolution of AI applications in education …
research domain, never before has the rapid evolution of AI applications in education …
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 …
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 …
The robots are here: Navigating the generative ai revolution in computing education
Recent advancements in artificial intelligence (AI) and specifically generative AI (GenAI) are
threatening to fundamentally reshape computing and society. Largely driven by large …
threatening to fundamentally reshape computing and society. Largely driven by large …
Predicting student performance using data mining and learning analytics techniques: A systematic literature review
A Namoun, A Alshanqiti - Applied Sciences, 2020 - mdpi.com
Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …
intelligent models and paradigms applied in education to predict the attainment of student …
Multiclass prediction model for student grade prediction using machine learning
Today, predictive analytics applications became an urgent desire in higher educational
institutions. Predictive analytics used advanced analytics that encompasses machine …
institutions. Predictive analytics used advanced analytics that encompasses machine …
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 …
Student dropout prediction
F Del Bonifro, M Gabbrielli, G Lisanti… - Artificial Intelligence in …, 2020 - Springer
Among the many open problems in the learning process, students dropout is one of the most
complicated and negative ones, both for the student and the institutions, and being able to …
complicated and negative ones, both for the student and the institutions, and being able to …
Should college dropout prediction models include protected attributes?
Early identification of college dropouts can provide tremendous value for improving student
success and institutional effectiveness, and predictive analytics are increasingly used for this …
success and institutional effectiveness, and predictive analytics are increasingly used for this …
Toward predicting student's academic performance using artificial neural networks (ANNs)
Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …
new advancement of technologies in educational displacement has unlimited potentials …