[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …
Some difficulties confronting most schools are delivering high-quality education to the …
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 …
Predicting student performance in higher educational institutions using video learning analytics and data mining techniques
Technology and innovation empower higher educational institutions (HEI) to use different
types of learning systems—video learning is one such system. Analyzing the footprints left …
types of learning systems—video learning is one such system. Analyzing the footprints left …
[HTML][HTML] Text mining with sentiment analysis on seafarers' medical documents
N Chintalapudi, G Battineni, M Di Canio… - International Journal of …, 2021 - Elsevier
Digital health systems contain large amounts of patient records, doctor notes, and
prescriptions in text format. This information summarized over the electronic clinical …
prescriptions in text format. This information summarized over the electronic clinical …
Educational data mining for student performance prediction: A systematic literature review (2015-2021)
MB Roslan, C Chen - … of Emerging Technologies in Learning (iJET), 2022 - learntechlib.org
This systematic literature review aims to identify the recent research trend, most studied
factors, and methods used to predict student academic performance from 2015 to 2021. The …
factors, and methods used to predict student academic performance from 2015 to 2021. The …
Educational data mining for predicting students' academic performance using machine learning algorithms
P Dabhade, R Agarwal, KP Alameen… - Materials Today …, 2021 - Elsevier
Educational data mining has gained impressive attention in recent years. The primary focus
of educational institutions is to provide quality education for students to enhance academic …
of educational institutions is to provide quality education for students to enhance academic …
Applying machine learning approach to predict students' performance in higher educational institutions
MN Yakubu, AM Abubakar - Kybernetes, 2022 - emerald.com
Purpose Academic success and failure are relevant lifelines for economic success in the
knowledge-based economy. The purpose of this paper is to predict the propensity of …
knowledge-based economy. The purpose of this paper is to predict the propensity of …
Predicting students' academic performance with conditional generative adversarial network and deep SVM
The availability of educational data obtained by technology-assisted learning platforms can
potentially be used to mine student behavior in order to address their problems and …
potentially be used to mine student behavior in order to address their problems and …
Factors contributing towards research productivity in higher education.
Research Productivity (RP) is the key element in the establishment of ranking and rating
system in the Higher Education (HE) sector. Despite of the many initiatives taken to enliven …
system in the Higher Education (HE) sector. Despite of the many initiatives taken to enliven …
Data mining techniques to analyze the impact of social media on academic performance of high school students
The main purpose of educational institutions is to provide quality education to their students.
However, it is difficult to analyze large data manually. Educational data mining is more …
However, it is difficult to analyze large data manually. Educational data mining is more …