Predicting university's students performance based on machine learning techniques

DM Ahmed, AM Abdulazeez… - … on Automatic Control …, 2021 - ieeexplore.ieee.org
Machine learning algorithms have been used in many fields, like economics, medicine, etc.
Education data mining is one of the areas concerned with exploring patterns of data in an …

The impact of work-integrated learning and learning strategies on engineering students' learning outcomes in Thailand: A multiple mediation model of learning …

B Khampirat - IEEE access, 2021 - ieeexplore.ieee.org
Learning outcomes (LOs) provide an essential foundation for evaluating the effectiveness of
higher education institutions (HEIs). LOs have been accepted as criteria for accrediting …

Predicting student performance using data mining and learning analysis technique in Libyan Higher Education

MA Saleh, S Palaniappan, NAA Abdallah… - … of Engineering and …, 2021 - pen.ius.edu.ba
The Technology has an increasing impact on all areas of life, including the education sector,
and requires developing countries to emulate developed countries and integrate technology …

Regularized Canonical Variate Emphasis Jenks Breaks Boost Clustering For Student Performance Prediction With Big Data.

R Pushpavalli, C Mary - Turkish Online Journal of Qualitative …, 2021 - search.ebscohost.com
Abstract Educational Data Mining is an emerging area due to the extensive growth of
educational data. Recently, the amount of data stored in the educational database is …

Psychotic Motivation for Improving Student Performance Based On Pattern Learner Features Using Deep Neural Classifier for Bipolar Disorder Students

S PEERBASHA, MM SURPUTHEEN - The journal of contemporary …, 2021 - cibgp.com
Bipolar disorder is a depressive fact that makes manic illness pressures in young ages due
to the non-intensive nature of brain functions, energy levels, mood-outs, and health …