An Architecture for Dynamic E-Learning Environments Based on Student Activity and Learning Styles

Business Education & Accreditation, v. 4 (2) pp. 113-124, 2012

12 Pages Posted: 30 Jan 2013  

John Kaliski

Minnesota State University, Mankato

Queen E. Booker

Minnesota State University, Mankato

Paul Schumann

Minnesota State University, Mankato

Date Written: 2012

Abstract

Using e-learning systems, computer assisted technologies, or learning management systems to supplement or replace the classroom experience is becoming more common in education. The use of these technologies generates a large volume of transactional data that record how each student progressed through the learning materials in the e-learning system. This data, which is currently underutilized, could be used to understand student learning behaviors, and to help both the instructor and the student benefit more from the course content. This paper describes an architecture using business intelligence methodology for using the data captured by e-learning systems to understand what students are doing (or not doing) in the e-learning system, and thereby to make changes that enhance student learning.

Keywords: E-learning, Learning Management Systems, Business Intelligence, Business Education, Business Education Research

JEL Classification: C88, I21, M00, M19, Z00

Suggested Citation

Kaliski, John and Booker, Queen E. and Schumann, Paul, An Architecture for Dynamic E-Learning Environments Based on Student Activity and Learning Styles (2012). Business Education & Accreditation, v. 4 (2) pp. 113-124, 2012. Available at SSRN: https://ssrn.com/abstract=2145004

John Kaliski (Contact Author)

Minnesota State University, Mankato ( email )

150 Morris Hall
Mankato, MN Minnesota 56001
United States

Queen E. Booker

Minnesota State University, Mankato ( email )

150 Morris Hall
Mankato, MN Minnesota 56001
United States

Paul Schumann

Minnesota State University, Mankato ( email )

150 Morris Hall
Mankato, MN Minnesota 56001
United States

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