The Role of Web Usage Mining in Web Based Learning Environments

2017 ◽  
Vol 9 (5) ◽  
pp. 3648-3655
Author(s):  
Umarani J ◽  
Thangaraju G ◽  
Kavitha S
Keyword(s):  
Learning Environments ◽  
Web Usage Mining ◽  
Web Based ◽  
Web Usage ◽  
Web Based Learning

Employing Intelligent and Adaptive Methods for Online Learning

2004 ◽  
pp. 208-219 ◽  
Author(s):  
Bernard Mark Garrett ◽  
George Roberts
Keyword(s):  
Online Learning ◽  
Learning Environments ◽  
Intelligent Systems ◽  
Educational Practice ◽  
Adaptive Methods ◽  
Learning Systems ◽  
Web Based ◽  
Tutoring Systems ◽  
Web Based Learning

In this chapter, we will explore the potential for employing artificial intelligence and adaptive methods into online learning applications. The existing and newly developing technologies for representing knowledge will be explored and the pedagogic implications for online learning discussed, including examining the roles of intelligent tutoring systems, decision support systems and pedagogic agents. In the wider context, the role of search engines, browsers and virtual learning environments will also be discussed in the context of intelligent systems, and the problems in implementing intelligent web based learning systems in mainstream educational practice.

Effectiveness of web-based learning environment: role of intrinsic learning motivation, computer self-efficacy, and learner engagement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nimitha Aboobaker ◽  
Muneer K.H.
Keyword(s):  
Learning Environment ◽  
Self Efficacy ◽  
Learning Motivation ◽  
Learning Effectiveness ◽  
Learning Engagement ◽  
Web Based ◽  
Content Type ◽  
Web Based Learning ◽  
Computer Self Efficacy

Purpose In the context of the abrupt shift to technology-enabled distance education, this paper examines the role of intrinsic learning motivation, computer self-efficacy and learning engagement in facilitating higher learning effectiveness in a web-based learning environment. Design/methodology/approach Data was collected using a self-administered online questionnaire from a sample of randomly selected 508 university students from different disciplines, including science, technology, and management. Findings Learning motivation and computer self-efficacy positively influenced students' learning engagement, with computer self-efficacy having a more substantial impact. Proposed mediation hypotheses too were supported. Originality/value The insights gained from this study will help in devising strategies for improving students' learning effectiveness. Game-based learning pedagogy and computer simulations can help students understand the higher meaning and purpose of the learning process.

Sign in / Sign up

Export Citation Format

Share Document