A comparative study of feature selection techniques for classify student performance
W Punlumjeak, N Rachburee - 2015 7th International …, 2015 - ieeexplore.ieee.org
Student performance classification is a challenging task for teacher and stakeholder for
better academic planning and management. Data mining can be used to find knowledge …
better academic planning and management. Data mining can be used to find knowledge …
MOOC dropout prediction using FIAR-ANN model based on learner behavioral features
Abstract Massive Open Online Courses (MOOCs) are a transformative technology in digital
learning that incorporates new techniques through video sessions, exams, activities, and …
learning that incorporates new techniques through video sessions, exams, activities, and …
Classificação do Diálogo Freireano em Mensagens de Fóruns de Discussão: Uma Análise de Desempenho do TF-IDF eo BERT para Sentenças
FR da Silva Filho, GAL Paillard… - Anais do XXXIV …, 2023 - sol.sbc.org.br
Os conceitos do diálogo freireano foram aplicados e organizados nos últimos anos de forma
a ser possível delimitar características de mensagens de fóruns com a teoria. Esse trabalho …
a ser possível delimitar características de mensagens de fóruns com a teoria. Esse trabalho …
[PDF][PDF] Identifying Student Behaviors Early in the Term for Improving Online Course Performance.
M Mori, P Chan - EDM, 2016 - educationaldatamining.org
To study the correlation between student behavior and performance, we propose using high-
level behavior features and a random forest algorithm. Considering a course with 10 …
level behavior features and a random forest algorithm. Considering a course with 10 …
UserFlow: A Tool for Visualizing Fine-grained Contextual Analytics in Teaching Documents
The adoption of innovative online teaching tools in Computer Science (CS) courses
provides opportunities for data-informed instruction as a regular teaching practice in CS …
provides opportunities for data-informed instruction as a regular teaching practice in CS …
[PDF][PDF] Associative Rule Mining in Student-centric Assessment and Evaluation
K Kasturi, C Sreedevi - 2020 - researchgate.net
Education is imparted by the established academic institutions. Nowadays the big challenge
of school students are getting through the competitive examinations and it also shows the …
of school students are getting through the competitive examinations and it also shows the …
Identifying Student Behavior for Improving Online Course Performance with Machine Learning
M Mori - 2015 - repository.fit.edu
In this study we investigate the correlation between student behavior and performance in
online courses. Based on the web logs and syllabus of a course, we extract features that …
online courses. Based on the web logs and syllabus of a course, we extract features that …
[引用][C] Intelligent student progress monitoring in an E-learning environment using Neural Network trained with Memetic Algorithm (M. Sc.)
S Singh - 2014 - shaveensingh.com
Shaveen Singh - PhD Student in Information Technology - Monash University Home Projects
Experience Publications Teaching Resume My HDR Blog Refereed Conference Full Papers …
Experience Publications Teaching Resume My HDR Blog Refereed Conference Full Papers …