Early warning system as a predictor for student performance in higher education blended courses

A Jokhan, B Sharma, S Singh - Studies in Higher Education, 2019 - Taylor & Francis
Early warning systems are being used to assist students in their studies as well as
understanding student behaviour and performance better. A home-grown EWS plug-in for …

Educational courseware evaluation using machine learning techniques

S Singh, SP Lal - 2013 IEEE Conference on e-Learning, e …, 2013 - ieeexplore.ieee.org
With the introduction of massive open online courses (MOOCs) and other web-based
learning management systems (LMS), there is a greater need to develop methods for …

Using feature selection and association rule mining to evaluate digital courseware

S Singh, SP Lal - … Eleventh International Conference on ICT and …, 2013 - ieeexplore.ieee.org
Effective digital courseware should be easy to implement and integrate into instructional
plans, saving teachers time and helping them support their students' learning needs. It …

On modeling objects using sequence of moment invariants

M Wiercioch - … Information Systems and Industrial Management: 17th …, 2018 - Springer
The paper addresses the problem of rotation and translation invariant recognition of objects
described by many features. A new set of rotation invariants features are introduced …

[PDF][PDF] Identification of attributes with a high impact on student performance.

BV Kubín - is.muni.cz
The thesis focuses on the identification of attributes with a high impact on student
performance in higher education. Analyzed attributes are sourced from the data provided by …

[引用][C] Titolo: Sottotitolo

R Frondizi - 2020 - G Giappichelli Editore

[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 …