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 …
Mining in educational data: review and future directions
One of the developing fields of the present times is educational data mining that pertains to
developing methods that help in examining various kinds of data obtained from the …
developing methods that help in examining various kinds of data obtained from the …
Prediction of students' academic performance based on courses' grades using deep neural networks
A Nabil, M Seyam, A Abou-Elfetouh - IEEE Access, 2021 - ieeexplore.ieee.org
Predicting students' academic performance at an early stage of a semester is one of the
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
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 …
An artificial intelligence approach to monitor student performance and devise preventive measures
A major problem an instructor experiences is the systematic monitoring of students'
academic progress in a course. The moment the students, with unsatisfactory academic …
academic progress in a course. The moment the students, with unsatisfactory academic …
Systematic ensemble model selection approach for educational data mining
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …
performance in order to support their development. Many institutions are focused on …
Students' performance in interactive environments: an intelligent model
Modern approaches in education technology, which make use of advanced resources such
as electronic books, infographics, and mobile applications, are progressing to improve …
as electronic books, infographics, and mobile applications, are progressing to improve …
Would ChatGPT-facilitated programming mode impact college students' programming behaviors, performances, and perceptions? An empirical study
D Sun, A Boudouaia, C Zhu, Y Li - International Journal of Educational …, 2024 - Springer
ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its
promise in improving the quality of programming education by providing learners with …
promise in improving the quality of programming education by providing learners with …
A machine learning algorithm framework for predicting students performance: A case study of baccalaureate students in Morocco
A Qazdar, B Er-Raha, C Cherkaoui… - Education and Information …, 2019 - Springer
The use of machine learning with educational data mining (EDM) to predict learner
performance has always been an important research area. Predicting academic results is …
performance has always been an important research area. Predicting academic results is …
Exploring online activities to predict the final grade of student
Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …
offered at higher education institutions (HEIs). It allows students to make their plans to …