Results 131 to 140 of about 798 (155)
Some of the next articles are maybe not open access.
EduNet: A Deep Neural Network Approach for Predicting CGPA of Undergraduate Students
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019Educational Data Mining (EDM) is an emerging research field concerned with the application of data mining, machine learning, and statistics in the discipline of education. Many researchers have already focused on EDM and exploring the educational data using several traditional data mining techniques to improve the educational performance of the ...
Md Rifatul Islam Rifat +2 more
exaly +2 more sources
Engineering Student CGPA group classification by Machine Learning
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), 2021Mukesh Kumar
exaly +2 more sources
A Step Ahead Students CGPA Prediction Based on Support Vector Machines
2022 International Conference on Artificial Intelligence in Everything (AIE), 2022Zubaida Said Ameen +2 more
exaly +2 more sources
Personal CGPA planning system for undergraduates: Towards achieving the first class CGPA
2016 Fifth ICT International Student Project Conference (ICT-ISPC), 2016Academic qualification is a necessity for an individual to compete in today's competitive environment. Employers' selection criteria of potential candidate are usually based on the grade point average (GPA). Despite a student's intellectual ability, planning is a crucial step in ensuring good GPA. However, many students do not have the necessary skills
null Yeap Chun Sheng +5 more
openaire +1 more source
A Simple Framework for Predicting Student CGPA using Multi Regression Techniques
2025 4th International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)R Sujatha
exaly +2 more sources
Changes in Body Composition and Housing Status Influence CGPA in First Year of College
Medicine and Science in Sports and Exercise, 2008Kyung-Shin Park, Sukho Lee
exaly +2 more sources
2018
The digital age also referred to as information age is characterized with the ability to transfer information freely and quickly. This makes self-directed learning strategies to gain ground. Self-directed learning facilitate students or learners to take ownership of their learning. Individual academic performance monitoring is an essential part of self-
Muhammad Aminu Umar +5 more
openaire +1 more source
The digital age also referred to as information age is characterized with the ability to transfer information freely and quickly. This makes self-directed learning strategies to gain ground. Self-directed learning facilitate students or learners to take ownership of their learning. Individual academic performance monitoring is an essential part of self-
Muhammad Aminu Umar +5 more
openaire +1 more source
Passion to Learn Well With Reflections of CGPA and Course Levels: Empirical Evidence
Journal of Higher Education Theory and Practice, 2023Passion to learn well (PLW) is important. With limited time and resources, how instructors can pinpoint and prioritize students who need support and encouragement to learn well and achieve the desired class performance. Cumulative grade point average (CGPA) is one acceptable factor in evaluating students’ academic performance. This research studied the
openaire +1 more source
A Data-Driven Data Mining Framework Predicting CGPA and Identify At-Risk Students
2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)JOSÉ C Agoylo, Jimson A Olaybar
exaly +2 more sources

