Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy {fenu, roberta. galici, mirko. marras}@ unica. it

G Fenu - … Learning Methodologies and Technologies Online: 4th …, 2023 - books.google.com
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 …

Supporting instructors with course attendance and quality prediction in synchronous learning

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 …

[PDF][PDF] Towards an Online Incremental Approach to Predict Students Performance.

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 …

Predictive modeling of student success

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 …

Utilizing early engagement and machine learning to predict student outcomes

CC Gray, D Perkins - Computers & Education, 2019 - Elsevier
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 …

A framework towards more accurate and explanatory student performance model

H Sahlaoui, EA ABDELLAOUI ALAOUI… - Proceedings of the 4th …, 2021 - dl.acm.org
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 …

Analysis of Machine Learning Models for Academic Performance Prediction

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 …

Revealing the relations between learning behaviors and examination scores via a prediction system

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 …

Learning models for student performance prediction

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 …

Real-Time Grade Prediction for Students Using Machine Learning

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 …