Predicting academic success in higher education: literature review and best practices
E Alyahyan, D Düştegör - … Journal of Educational Technology in Higher …, 2020 - Springer
Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …
the institution's performance. Early detection of students at risk, along with preventive …
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 …
Contributions of machine learning models towards student academic performance prediction: a systematic review
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …
areas of research. In the field of education, both educational organizations and students are …
[HTML][HTML] Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation
The applications of artificial intelligence in education have increased in recent years.
However, further conceptual and methodological understanding is needed to advance the …
However, further conceptual and methodological understanding is needed to advance the …
Prediction of student academic performance using a hybrid 2D CNN model
Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …
learning are increasing. A multitude of data are being produced by institutional technology, e …
A novel method for performance measurement of public educational institutions using machine learning models
Lack of education is a major concern in underdeveloped countries because it leads to poor
human and economic development. The level of education in public institutions varies …
human and economic development. The level of education in public institutions varies …
Analysis of enrollment criteria in secondary schools using machine learning and data mining approach
Out-of-school children (OSC) surveys are conducted annually throughout Pakistan, and the
results show that the literacy rate is increasing gradually, but not at the desired speed …
results show that the literacy rate is increasing gradually, but not at the desired speed …
Should learning analytics models include sensitive attributes? Explaining the why
Many educational institutions are using predictive models to leverage actionable insights
using student data and drive student success. A common task has been predicting students …
using student data and drive student success. A common task has been predicting students …
Predicting student performance to improve academic advising using the random forest algorithm
M Nachouki, M Abou Naaj - International Journal of Distance …, 2022 - igi-global.com
The Covid-19 pandemic constrained higher education institutions to switch to online
teaching, which led to major changes in students' learning behavior, affecting their overall …
teaching, which led to major changes in students' learning behavior, affecting their overall …
Generic skills of future built environment practitioners in South Africa: Unexplored mechanism via students' perception
A Ebekozien, CO Aigbavboa, J Aliu… - Journal of Engineering …, 2024 - emerald.com
Purpose Researchers and policymakers have given attention to generic skills development
in higher institutions. One of the intentions is to broaden graduate employability with generic …
in higher institutions. One of the intentions is to broaden graduate employability with generic …