E-learning success model in the context of COVID-19 pandemic in higher educational institutions
Nowadays, the extensive use of e-learning in higher educational institutions in many
countries leads us to apprehend the reality, precisely the key success/failure factors of the …
countries leads us to apprehend the reality, precisely the key success/failure factors of the …
Towards developing hybrid educational data mining model (HEDM) for efficient and accurate student performance evaluation
Many educational institutions use data mining for maintaining the student records,
specifically academic performances, which are more significant. The academic …
specifically academic performances, which are more significant. The academic …
Discrepancies of remote techno-tolerance due to COVID-19 pandemic within Arab middle-east countries
Abstract The coronavirus disease (COVID-19) changed the world's lifestyle switching many
techno-services to be provided remotely instead of direct usual physical interactions …
techno-services to be provided remotely instead of direct usual physical interactions …
Evaluation model of Islamic education learning in schools in the digital age
S Nursyamsiyah - International Journal of Social Learning (IJSL), 2023 - ijsl.pubmedia.id
The COVID-19 pandemic is a challenge for educational institutions in learning and
evaluation. However, Luqman Al-Hakim Elementary School implements an online oral and …
evaluation. However, Luqman Al-Hakim Elementary School implements an online oral and …
Internet of Things-based student performance evaluation framework
In recent years, solutions based on Internet of Things (IoT) are gaining impetus in
educational institutions. It is observed that student performance evaluation system in …
educational institutions. It is observed that student performance evaluation system in …
[PDF][PDF] Student performance prediction in education sector using data mining
P Shruthi, BP Chaitra - 2016 - 61.1.175.66
The data in education sector is increasing periodically which can be used to predict the
performance of the students in the upcoming semesters. From this the students who are at …
performance of the students in the upcoming semesters. From this the students who are at …
[PDF][PDF] Impact on higher education and college students in Dijlah university after COVID through E-learning
The higher education industry in Iraq had various challenges during the covid-19 outbreak,
and this study looked at how remote learning and other relevant technology helped. During …
and this study looked at how remote learning and other relevant technology helped. During …
Online education big data platform
G Zhang, Y Yang, X Zhai, Q Yao… - 2016 11th International …, 2016 - ieeexplore.ieee.org
Online education is a popular way for distance education in the world. The data of online
education platform is explosively growing. The Big Data technologies can process and …
education platform is explosively growing. The Big Data technologies can process and …
[Retracted] Analysis of English Performance Rating Based on Machine Learning and Optimized BP Network Technology
Y Liu, L Dong - Security and Communication Networks, 2021 - Wiley Online Library
In order to improve the intelligent effect of English performance rating, this paper analyzes
the English performance rating process and builds the corresponding algorithm model …
the English performance rating process and builds the corresponding algorithm model …
Challenges in embedded engineering education
I Kastelan, N Teslic, M Temerinac - Embedded Engineering Education, 2016 - Springer
Tremendous progress in semiconductor technology enabled broad proliferation of computer-
based solutions in almost all fields, from medical instrumentation up to spacecraft …
based solutions in almost all fields, from medical instrumentation up to spacecraft …