Imbalanced classification methods for student grade prediction: a systematic literature review
Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …
One way to measure student success is by predicting students' performance based on their …
A hybrid machine learning framework for predicting students' performance in virtual learning environment
E Evangelista - International Journal of Emerging Technologies in …, 2021 - learntechlib.org
Abstract Virtual Learning Environments (VLE), such as Moodle and Blackboard, store vast
data to help identify students' performance and engagement. As a result, researchers have …
data to help identify students' performance and engagement. As a result, researchers have …
Improving student's cognitive performance during the pandemic through a machine learning-based virtual museum
E Ermatita, S Puspasari, Z Zulkardi - TEM Journal, 2023 - ceeol.com
This study presents the investigation of the innovative virtual application developed for
cultural education through museum collections. It's designed as an innovative virtual …
cultural education through museum collections. It's designed as an innovative virtual …
Artificial intelligence assisted student learning and performance analysis using instructor evaluation model
N Nithiyanandam, S Dhanasekaran… - … on Electronics and …, 2022 - ieeexplore.ieee.org
Student's proficiency in a subject may be gauged through the use of Learning Management
Systems (LMS)(LMSs). Using a scoring algorithm to calculate the percentage of each …
Systems (LMS)(LMSs). Using a scoring algorithm to calculate the percentage of each …
A predictive model for student performance in classrooms using student interactions with an eTextbook
AA Elrahman, THA Soliman, AI Taloba… - arXiv preprint arXiv …, 2022 - arxiv.org
With the rise of online eTextbooks and Massive Open Online Courses (MOOCs), a huge
amount of data has been collected related to students' learning. With the careful analysis of …
amount of data has been collected related to students' learning. With the careful analysis of …
Feature optimization and machine learning for predicting students' academic performance in higher education institutions
Developing tools to support students, educators, intuitions, and government in the
educational environment has become an important task to improve the quality of education …
educational environment has become an important task to improve the quality of education …
Machine Learning Models for Student Performance Prediction
SM Pande - 2023 International Conference on Innovative Data …, 2023 - ieeexplore.ieee.org
Education is the key to success which provides multiple opportunities in the life. Education
not only contributes to individual success but also contributes to the success of the society …
not only contributes to individual success but also contributes to the success of the society …
Challenges and implications of digital transformation in higher education: a student perspective from Pakistan and Saudi Arabia
COVID-19-related lockdowns have changed the human work practices in all spheres of life
including the higher education sector. Conventional classrooms have had to be transformed …
including the higher education sector. Conventional classrooms have had to be transformed …
Predictive Analysis of Computer Science Student Performance: An ACM2013 Knowledge Area Approach.
A Almiman, MT Ben Othman - Ingénierie des Systèmes d' …, 2024 - search.ebscohost.com
In the realm of Educational Data Mining (EDM), the predictive analysis of student
performance has emerged as a pivotal area of interest, particularly within computer science …
performance has emerged as a pivotal area of interest, particularly within computer science …
A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook
A AbdElrahman, THA Soliman, AI Taloba, MF Farghally - 2022 - researchsquare.com
With the rise of online eTextbooks and Massive Open Online Courses (MOOCs), a huge
amount of data has been collected related to students' learning. With the careful analysis of …
amount of data has been collected related to students' learning. With the careful analysis of …