Assessment and evaluation of different machine learning algorithms for predicting student performance

YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

A systematic review on machine learning models for online learning and examination systems

S Kaddoura, DE Popescu, JD Hemanth - PeerJ Computer Science, 2022 - peerj.com
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …

[PDF][PDF] What is ChatGPT and what do we do with it? Implications of the age of AI for nursing and midwifery practice and education: An editorial

P Irwin, D Jones, S Fealy - Nurse Education Today, 2023 - researchoutput.csu.edu.au
The world is currently grappling with the implications of the release of ChatGPT (Generative
Pretrained Transformer) a natural language processing (NLP) model (OpenAI, 2023) …

[HTML][HTML] Evaluation of postgraduate academic performance using artificial intelligence models

Y Baashar, Y Hamed, G Alkawsi, LF Capretz… - Alexandria Engineering …, 2022 - Elsevier
Institutions of higher learning are currently facing the challenging task of attracting new
students who can effectively meet their diverse academic demands. With these demands …

Analysis of the factors affecting student performance using a neuro-fuzzy approach

M Abou Naaj, R Mehdi, EA Mohamed, M Nachouki - Education Sciences, 2023 - mdpi.com
Predicting students' academic performance and the factors that significantly influence it can
improve students' completion and graduation rates, as well as reduce attrition rates. In this …

[HTML][HTML] The Power of Deep Learning Techniques for Predicting Student Performance in Virtual Learning Environments: A Systematic Literature Review

B Alnasyan, M Basheri, M Alassafi - Computers and Education: Artificial …, 2024 - Elsevier
With the advances in Artificial Intelligence (AI) and the increasing volume of online
educational data, Deep Learning techniques have played a critical role in predicting student …

Evaluating student knowledge assessment using machine learning techniques

N Alruwais, M Zakariah - Sustainability, 2023 - mdpi.com
The process of learning about a student's knowledge and comprehension of a particular
subject is referred to as student knowledge assessment. It helps to identify areas where …

[HTML][HTML] Predicting the depression in university students using stacking ensemble techniques over oversampling method

AD Vergaray, JCH Miranda, JB Cornelio… - Informatics in medicine …, 2023 - Elsevier
Background Depression is that mental health disorder characterized by constant sadness for
approximately 2 weeks, in which it generates an inability to do daily activities, and those …

Predicting and comparing students' online and offline academic performance using machine learning algorithms

B Holicza, A Kiss - Behavioral Sciences, 2023 - mdpi.com
Due to COVID-19, the researching of educational data and the improvement of related
systems have become increasingly important in recent years. Educational institutions seek …

Deep neural network-based prediction and early warning of student grades and recommendations for similar learning approaches

T Tao, C Sun, Z Wu, J Yang, J Wang - Applied Sciences, 2022 - mdpi.com
Studies reported that if teachers can accurately predict students' follow-up learning effects
via data mining and other means, as per their current performances, and explore the …