[HTML][HTML] A systematic literature review of student'performance prediction using machine learning techniques

B Albreiki, N Zaki, H Alashwal - Education Sciences, 2021 - mdpi.com
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …

Diverging hybrid and deep learning models into predicting students' performance in smart learning environments–a review

E Mbunge, S Fashoto, R Mafumbate… - Pan-African Artificial …, 2021 - Springer
COVID-19 continues to overwhelm the education sectors globally posing threats to progress
made towards inclusive and equity education in the previous years. Before COVID-19 …

[HTML][HTML] Analysis of emergency remote education in COVID-19 crisis focused on the perception of the teachers

MA Zamora-Antuñano, J Rodríguez-Reséndiz… - Sustainability, 2021 - mdpi.com
This descriptive study intends to identify the satisfaction perception among the teachers of
the Universidad del Valle de México (UVM) concerning the use of the Microsoft Teams …

[HTML][HTML] Customized rule-based model to identify at-risk students and propose rational remedial actions

B Albreiki, T Habuza, Z Shuqfa, MA Serhani… - Big Data and Cognitive …, 2021 - mdpi.com
Detecting at-risk students provides advanced benefits for improving student retention rates,
effective enrollment management, alumni engagement, targeted marketing improvement …

[HTML][HTML] A new ML-based approach to enhance student engagement in online environment

S Ayouni, F Hajjej, M Maddeh, S Al-Otaibi - Plos one, 2021 - journals.plos.org
The educational research is increasingly emphasizing the potential of student engagement
and its impact on performance, retention and persistence. This construct has emerged as an …

[PDF][PDF] Predicting students graduate on time using C4. 5 algorithm

H Yuliansyah, RAP Imaniati, A Wirasto… - J. Inf. Syst. Eng. Bus …, 2021 - e-journal.unair.ac.id
Background: Facilitating an effective learning process is the goal of higher education
institutions. Despite improvement in curriculum and resources, many students cannot …

[HTML][HTML] Is there a real need for the preparatory years in higher education? an educational data analysis for college and future career readiness

H Brdesee, W Alsaggaf - Social Sciences, 2021 - mdpi.com
Universities seek to qualify students for their academic and career futures and meet labor
market requirements. Hence, a preparatory year is provided to bridge the gap between high …

Predicting student performance using data mining and learning analysis technique in Libyan Higher Education

MA Saleh, S Palaniappan, NAA Abdallah… - … of Engineering and …, 2021 - pen.ius.edu.ba
The Technology has an increasing impact on all areas of life, including the education sector,
and requires developing countries to emulate developed countries and integrate technology …

Educational data mining, student academic performance prediction, prediction methods, algorithms and tools: An overview of reviews

C Chaka - 2021 - preprints.org
This overview study set out to compare and synthesise the findings of review studies
conducted on predicting student academic performance (SAP) in higher education using …

Deep Frustration Severity Network for the Prediction of Declined Students' Cognitive Skills

S Ahmad, MS Anwar, MA Khan… - … on Computing & …, 2021 - ieeexplore.ieee.org
Prediction of declined Cognitive Skills (CS) is essential not only for students and tutors but
also for policymakers to make appropriate policies for the effective educational systems …