A review of the trends and challenges in adopting natural language processing methods for education feedback analysis
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …
business and research domains. Machine learning, deep learning, and natural language …
Predicting student academic performance at higher education using data mining: A systematic review
Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …
huge amount of educational data that can be used to discover new insights that have a …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
Grade prediction modeling in hybrid learning environments for sustainable engineering education
Since mid-March 2020, due to the COVID-19 pandemic, higher education has been facing a
very uncertain situation, despite the hasty implementation of information and communication …
very uncertain situation, despite the hasty implementation of information and communication …
Data‐driven decision‐making model based on artificial intelligence in higher education system of colleges and universities
Y Teng, J Zhang, T Sun - Expert Systems, 2023 - Wiley Online Library
The quality of management decisions is one of the main issues facing higher education
institutions today. Strategic decisions taken by the higher education institutions affect …
institutions today. Strategic decisions taken by the higher education institutions affect …
An explainable model for identifying at-risk student at higher education
Nowadays, researchers from various fields have shown great interest in improving the
quality of learning in educational institutes in order to improve student achievement and …
quality of learning in educational institutes in order to improve student achievement and …
[PDF][PDF] Analysis of engineering student data in online higher education during the COVID-19 pandemic
The COVID-19 pandemic has challenged many educational institutions around the world in
2020 and 2021 as traditional education has been interrupted to prevent the spread of the …
2020 and 2021 as traditional education has been interrupted to prevent the spread of the …
The role of demographic and academic features in a student performance prediction
Abstract Educational Data Mining is widely used for predicting student's performance. It'sa
challenging task because a plethora of features related to demographics, personality traits …
challenging task because a plethora of features related to demographics, personality traits …
Enhancement of E-Learning student's performance based on ensemble techniques
Educational institutions have dramatically increased in recent years, producing many
graduates and postgraduates each year. One of the critical concerns of decision-makers is …
graduates and postgraduates each year. One of the critical concerns of decision-makers is …
A random forest students' performance prediction (rfspp) model based on students' demographic features
Education plays a crucial role in individual life as well as for the whole nation. Many students
are dropped out yearly in different academic courses. This study investigates the …
are dropped out yearly in different academic courses. This study investigates the …