G Fenu, R Galici, M Marras, S Picciau - International Workshop on Higher …, 2022 - Springer
The massive adoption of artificial intelligence has opened up the opportunity for a range of intelligent technologies that can support education. Empowering instructors with tools able …
C Labba, A Boyer - CSEDU (2), 2024 - members.loria.fr
Analytical models developed in offline settings with pre-prepared data are typically used to predict students' performance. However, when data are available over time, this learning …
C Brooks, V Kovanović, Q Nguyen - Handbook of Artificial …, 2023 - elgaronline.com
While predictive analytics have been used in a wide range of situations, by far the most common use of predictive analytics is to improve student retention and academic …
Finding a solution to the problem of student retention is an often-required task across Higher Education. Most often managers and academics alike rely on intuition and experience to …
The ability to predict students academic performance in a timely manner is very important in learning institutions [18]. Student performance prediction is an important area as it can help …
AB Amaya, HC Barrera, R Manrique - International Conference on …, 2024 - Springer
The prevalent issue of increased student dropouts, shared by universities worldwide, often culminates in decreased academic performance and prolonged completion times for degree …
Z Pan, J Xue, Y Gao, H Wang, G Chen - Proceedings of the 2018 2nd …, 2018 - dl.acm.org
In this paper, we present a regression model to predict students' midterm and final examinations by using student interaction history from course's online system. The …
R Cavazos, SE Garza - … 16th Mexican International Conference on Artificial …, 2018 - Springer
Predicting student performance supports educational decision-making by allowing directives and teachers to detect students in special situations (eg students at risk of failing a course or …
T Alshomari, C Verma - … of International Conference on Recent Innovations …, 2023 - Springer
One of the most crucial aspects is predicting students' performance in the educational domains such as schools and universities, because it aids in the creation of effective …