[HTML][HTML] Research on student performance prediction based on stacking fusion model

F Yu, X Liu - Electronics, 2022 - mdpi.com
Online learning is gradually becoming popular with the continuous development of Internet
technology and the rapid development of educational informatization. It plays a key role in …

[PDF][PDF] An Effective Recommendation System to Forecast the Best Educational Program Using Machine Learning Classification Algorithms.

J Dhar, AK Jodder - Ingénierie des Systèmes d Inf., 2020 - researchgate.net
After passing the 10th class, every student is eager to know which educational program will
be the best for their higher education to match their career goal. Sometimes, they are very …

[HTML][HTML] Predictive modeling of students performance through the enhanced decision tree

S Sivakumar, R Selvaraj - Advances in Electronics, Communication and …, 2018 - Springer
Prognostic of student performance is one of the major issues in many institutions. The
student's performance is based on many factors such as internal examinations, grade …

[HTML][HTML] A course recommendation model for students based on learning outcome

VA Nguyen, HH Nguyen, DL Nguyen, MD Le - Education and Information …, 2021 - Springer
How to choose the most appropriate courses to study throughout the learning process
remains a question interested in by many students. Students often choose suitable courses …

[HTML][HTML] Selection of the right undergraduate major by students using supervised learning techniques

AO Alsayed, MSM Rahim, I AlBidewi, M Hussain… - Applied Sciences, 2021 - mdpi.com
University education has become an integral and basic part of most people preparing for
working life. However, placement of students into the appropriate university, college, or …

Recommender system for selection of the right study program for Higher Education students

M Vukicevic, M Jovanovic, B Delibasic… - … : Data Mining Use …, 2013 - api.taylorfrancis.com
Abstract Educational Data Mining (EDM) is a new emerging field that discovers knowledge
from data originating from educational environments. It has a focus on different aspects of …

[HTML][HTML] A machine learning approach feature to forecast the future performance of the universities in Canada

LJ Wardley, E Rajabi, SH Amin, M Ramesh - Machine Learning with …, 2024 - Elsevier
University ranking is a technique of measuring the performance of Higher Education
Institutions (HEIs) by evaluating them on various criteria like student satisfaction …

Building Student Course Performance Prediction Model Based on Deep Learning.

JY Kuo, HT Chung, PF Wang… - Journal of Information …, 2021 - search.ebscohost.com
The deferral of graduation rate in Taiwan's universities is estimated 16%, which will affect
the scheduling of school resources. Therefore, if we can expect to take notice of students' …

Students' performance prediction model using meta-classifier approach

H Hassan, S Anuar, NB Ahmad - … 2019, Xersonisos, Crete, Greece, May 24 …, 2019 - Springer
Students' performance is vitally important at all stages of education, particularly for Higher
Education Institutions. One of the most important issues is to improve the performance and …

HELA: A novel hybrid ensemble learning algorithm for predicting academic performance of students

SB Keser, S Aghalarova - Education and Information Technologies, 2022 - Springer
Education plays a major role in the development of the consciousness of the whole society.
Education has been improved by analyzing educational data related to student academic …