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 …
A review of the chemical extraction of chitosan from shrimp wastes and prediction of factors affecting chitosan yield by using an artificial neural network
A Hosney, S Ullah, K Barčauskaitė - Marine Drugs, 2022 - mdpi.com
There are two viable options to produce shrimp shells as by-product waste, either within the
shrimp production phases or when the shrimp are peeled before cooking by the end user …
shrimp production phases or when the shrimp are peeled before cooking by the end user …
Toward predicting student's academic performance using artificial neural networks (ANNs)
Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …
new advancement of technologies in educational displacement has unlimited potentials …
Educational data mining techniques for student performance prediction: method review and comparison analysis
Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
In this paper we apply data fusion approaches for predicting the final academic performance
of university students using multiple-source, multimodal data from blended learning …
of university students using multiple-source, multimodal data from blended learning …
Xgboost and deep neural network comparison: The case of teams' performance
In the educational setting, working in teams is considered an essential collaborative activity
where various biases exist that influence the prediction of teams performance. To tackle this …
where various biases exist that influence the prediction of teams performance. To tackle this …
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 …
Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning
The advancement of artificial intelligence (AI) and the ubiquity of social media have become
transformative agents in contemporary educational ecosystems. The spotlight of this inquiry …
transformative agents in contemporary educational ecosystems. The spotlight of this inquiry …
Improving biomass and grain yield prediction of wheat genotypes on sodic soil using integrated high-resolution multispectral, hyperspectral, 3D point cloud, and …
Sodic soils adversely affect crop production over extensive areas of rain-fed cropping
worldwide, with particularly large areas in Australia. Crop phenotyping may assist in …
worldwide, with particularly large areas in Australia. Crop phenotyping may assist in …
[PDF][PDF] Classification and regression trees (CART) for predictive modeling in blended learning
NZ Zacharis - IJ Intelligent Systems and Applications, 2018 - mecs-press.net
Today, Internet and Web technologies not only provide students opportunities for flexible
interactivity with study materials, peers and instructors, but also generate large amounts of …
interactivity with study materials, peers and instructors, but also generate large amounts of …