SUNFIT: A Machine Learning-Based Sustainable University Field Training Framework for Higher Education

M Gollapalli, A Rahman, M Alkharraa, L Saraireh… - Sustainability, 2023 - mdpi.com
With the rapid advances in Information Technology (IT), the focus on engaging computing
students to gain practical experience in the IT industry before graduation is becoming …

Reducing dropout rate through a deep learning model for sustainable education: long-term tracking of learning outcomes of an undergraduate cohort from 2018 to …

YT Shiao, CH Chen, KF Wu, BL Chen, YH Chou… - Smart Learning …, 2023 - Springer
In recent years, initiatives and the resulting application of precision education have been
applied with increasing frequency in Taiwan; the accompanying discourse has focused on …

Improving student retention in institutions of higher education through machine learning: A sustainable approach

W Villegas-Ch, J Govea, S Revelo-Tapia - Sustainability, 2023 - mdpi.com
Effective student retention in higher education represents a critical challenge to institutional
stability and educational quality. This study addresses this challenge by integrating machine …

Modern artificial intelligence model development for undergraduate student performance prediction: An investigation on engineering mathematics courses

RC Deo, ZM Yaseen, N Al-Ansari, T Nguyen-Huy… - IEEE …, 2020 - ieeexplore.ieee.org
A computationally efficient artificial intelligence (AI) model called Extreme Learning
Machines (ELM) is adopted to analyze patterns embedded in continuous assessment to …

Transforming educational insights: Strategic integration of federated learning for enhanced prediction of student learning outcomes

U Farooq, S Naseem, T Mahmood, J Li… - The Journal of …, 2024 - Springer
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …

Predicting academic performance of students with machine learning

YS Balcioğlu, M Artar - Information Development, 2023 - journals.sagepub.com
This study investigates the effectiveness of machine learning and deep learning models for
early prediction of student performance in higher education institutions. Using the Open …

An interpretable framework for an efficient analysis of students' academic performance

I Gligorea, MU Yaseen, M Cioca, H Gorski, R Oancea - Sustainability, 2022 - mdpi.com
Recent technological advancements in e-learning platforms have made it easy to store and
manage students' related data, such as personal details, initial grade, intermediate grades …

Research on student engagement in distance learning in sustainability science to design an online intelligent assessment system

K Fang, L Li, Y Wu - Frontiers in Psychology, 2023 - frontiersin.org
Distance learning programs in sustainability science provide a structured curriculum that
covers various aspects of sustainability. Despite the growing recognition of distance learning …

Big Data in Education: Students at Risk as a Case Study

AB Altamimi - Engineering, Technology & Applied Science Research, 2023 - etasr.com
This paper analyzes various machine learning algorithms to predict student failure in a
specific educational dataset and a specific environment. The paper handles the prediction of …

AI student success predictor: Enhancing personalized learning in campus management systems

M Shoaib, N Sayed, J Singh, J Shafi, S Khan… - Computers in Human …, 2024 - Elsevier
Abstract Campus Management Systems (CMSs) are vital tools in managing educational
institutions, handling tasks like student enrollment, scheduling, and resource allocation. The …