[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …
Some difficulties confronting most schools are delivering high-quality education to the …
A systematic review on machine learning models for online learning and examination systems
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 …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
Predicting academic performance associated with physical fitness of primary school students using machine learning methods
K Xu, Z Sun - Complementary Therapies in Clinical Practice, 2023 - Elsevier
Objectives This study aimed to explore the relationship between physical fitness and the
academic performance of primary school students and to predict the academic performance …
academic performance of primary school students and to predict the academic performance …
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 …
systems have become increasingly important in recent years. Educational institutions seek …
A recommendation system for selecting the appropriate undergraduate program at higher education institutions using graduate student data
Y Zayed, Y Salman, A Hasasneh - Applied Sciences, 2022 - mdpi.com
Selecting the appropriate undergraduate program is a critical decision for students. Many
elements influence this choice for secondary students, including financial, social …
elements influence this choice for secondary students, including financial, social …
Predicting academic achievement from the collaborative influences of executive function, physical fitness, and demographic factors among primary school students in …
Z Sun, Y Yuan, X Xiong, S Meng, Y Shi, A Chen - BMC Public Health, 2024 - Springer
Background Elevated levels of executive function and physical fitness play a pivotal role in
shaping future quality of life. However, few studies have examined the collaborative …
shaping future quality of life. However, few studies have examined the collaborative …
Predicting the impact of internet usage on students' academic performance using machine learning techniques in Bangladesh perspective
Education systems have significantly changed with the emergence of the internet. It has a
significant impact on how students learn things. Nevertheless, its impact can also be …
significant impact on how students learn things. Nevertheless, its impact can also be …
Empowering education: Harnessing ensemble machine learning approach and ACO-DT classifier for early student academic performance prediction
Higher education institutions have consistently strived to provide students with top-notch
education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify …
education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify …
Investigating Students' Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining …
Medical education is one of the most sought-after disciplines for its prestigious and noble
status. Institutions endeavor to identify admissions criteria to register bright students who can …
status. Institutions endeavor to identify admissions criteria to register bright students who can …
Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI)
methodologies over traditional statistical methods for predicting student performance in e …
methodologies over traditional statistical methods for predicting student performance in e …