Assessment and evaluation of different machine learning algorithms for predicting student performance
YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
Systematic literature review on machine learning and student performance prediction: Critical gaps and possible remedies
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 …
students, and predicting students' success during the term, at the end of the term, or in the …
Student-performulator: student academic performance using hybrid deep neural network
Educational data generated through various platforms such as e-learning, e-admission
systems, and automated result management systems can be effectively processed through …
systems, and automated result management systems can be effectively processed through …
Predicting academic performance using an efficient model based on fusion of classifiers
In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …
researchers to enhance the quality of education. Predicting student academic performance …
Using machine learning to predict factors affecting academic performance: the case of college students on academic probation
L Al-Alawi, J Al Shaqsi, A Tarhini… - Education and Information …, 2023 - Springer
This study aims to employ the supervised machine learning algorithms to examine factors
that negatively impacted academic performance among college students on probation …
that negatively impacted academic performance among college students on probation …
Big data application and its impact on education
S Khan, S Alqahtani - … of Emerging Technologies in Learning (iJET), 2020 - learntechlib.org
Big data is employed in widely different fields; we here study how education uses big data.
We review the literature of the research about big data in education in the time interval from …
We review the literature of the research about big data in education in the time interval from …
Predicting student's performance using machine learning methods: A systematic literature review
Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …
record of academic achievements raises the institution's ranking as one of the criteria for a …
Practical early prediction of students' performance using machine learning and eXplainable AI
Predicting students' performance in advance could help assist the learning process; if “at-
risk” students can be identified early on, educators can provide them with the necessary …
risk” students can be identified early on, educators can provide them with the necessary …
Predicting student performance in a blended learning environment using learning management system interaction data
Purpose Student attritions in tertiary educational institutes may play a significant role to
achieve core values leading towards strategic mission and financial well-being. Analysis of …
achieve core values leading towards strategic mission and financial well-being. Analysis of …
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 …