Data mining for the Analysis of Content Interaction in web-based Learning and Training Systems

  • Saarthak Singh
N/ACitations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

The process of data mining is exploring databases for useful information and extracting it. Analysis how people interact with websites is the main goal of web usage mining, a subfield of data mining. The main, unobtrusive, and objective way to evaluate Web-based training and learning systems, namely how users engage with course materials, is web use mining. Many mining methods were developed with the classroom in mind, and we will showcase and explain them all. In order to prove effectiveness and improve instructional design as required, it is crucial to analyse and evaluate how learners behave in learning and training technology systems. This is particularly true when there are several interactive learning and training components accessible. We take a look at methods for figuring out what we want to learn, how we're going to learn it, and how our habits change as we go.

Cite

CITATION STYLE

APA

Saarthak Singh. (2024). Data mining for the Analysis of Content Interaction in web-based Learning and Training Systems. Journal of Advances and Scholarly Researches in Allied Education, 21(5), 8–17. https://doi.org/10.29070/kj8qyp50

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free