Automatic Student performance prediction is a crucial job due to the large volume of data in educational databases. This job is being addressed by educational data mining (EDM) …
Improving the quality, developing and implementing systems that can provide advantages to students, and predicting students' success during the term, at the end of the term, or in the …
M Paliwal, UA Kumar - Expert Systems with Applications, 2009 - Elsevier
Over the past several years, there is tremendous increase in the number of applicants to business schools and hence adequately measuring the potential of these students with …
A Al Ka'bi - International Journal of Intelligent Networks, 2023 - Elsevier
Artificial intelligence (AI) has been increasingly impacting various aspects of our daily lives, including education. With the rise of digital technologies, higher education has also been …
For a productive and a good life, education is a necessity and it improves individuals' life with value and excellence. Also, education is considered a vital need for motivating self …
A major problem an instructor experiences is the systematic monitoring of students' academic progress in a course. The moment the students, with unsatisfactory academic …
SA Alwarthan, N Aslam, IU Khan - … Intelligence and Soft …, 2022 - Wiley Online Library
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 …
Data mining approach has been successfully implemented in higher education and emerge as an interesting area in educational data mining research. The approach is intended for …
T Ahajjam, M Moutaib, H Aissa, M Azrour… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is based on algorithms that allow machines to make decisions for humans. This technology enhances the users' experience in various ways. Several studies …