IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Web Data Mining in Education: Decision Support by Learning Analytics with Bloom's Taxonomy

Web Data Mining in Education: Decision Support by Learning Analytics with Bloom's Taxonomy
View Sample PDF
Author(s): Wing Shui Ng (The Education University of Hong Kong, Hong Kong)
Copyright: 2017
Pages: 20
Source title: Web Data Mining and the Development of Knowledge-Based Decision Support Systems
Source Author(s)/Editor(s): G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)
DOI: 10.4018/978-1-5225-1877-8.ch005

Purchase

View Web Data Mining in Education: Decision Support by Learning Analytics with Bloom's Taxonomy on the publisher's website for pricing and purchasing information.

Abstract

Web data mining for extracting meaningful information from large amount of web data has been explored over a decade. The concepts and techniques have been borrowed into the education sector and the new research discipline of learning analytics has emerged. With the development of web technologies, it has been a common practice to design online collaborative learning activities to enhance learning. To apply learning analytics techniques to monitor the online collaborative process enables a lecturer to make instant and informed pedagogical decisions. However, it is still a challenge to build strong connection between learning analytics and learning science for understanding cognitive progression in learning. In this connection, this chapter reports a study to apply learning analytics techniques in the aspect of web usage mining and clustering analysis with underpinning Bloom's taxonomy to analyze students' performance in the online collaborative learning process. The impacts of intermediate interventions are also elaborated.

Related Content

Aastha Behl, Abhinav Pal. © 2020. 27 pages.
Abhinav Pal, Jisha Rajendran, Aastha Behl. © 2020. 18 pages.
Anurag Mishra, Pankaj Dutta, Suruj Kakoti. © 2020. 16 pages.
Ömer Faruk Efe. © 2020. 23 pages.
William Alberto Cruz Castañeda. © 2020. 26 pages.
Rafaela Ribeiro Pinho, Ana Paula Lopes. © 2020. 28 pages.
Merve Cengiz Toklu. © 2020. 30 pages.
Body Bottom