How can self-regulated learning be supported in mathematical E-learning environments?

2006 ◽  
Vol 22 (1) ◽  
pp. 24-33 ◽  
Author(s):  
B. Kramarski ◽  
M. Gutman
Keyword(s):  
Learning Environments ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
E Learning

A Conceptual Educational Data Mining Model for Supporting Self-Regulated Learning in Online Learning Environments

2021 ◽  
pp. 278-292
Author(s):  
Eric Araka ◽  
Robert Oboko ◽  
Elizaphan Maina ◽  
Rhoda K. Gitonga
Keyword(s):  
Data Mining ◽  
Online Learning ◽  
Learning Environments ◽  
Domain Knowledge ◽  
Educational Data Mining ◽  
Online Learning Environments ◽  
Student Activities ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
E Learning

Self-regulated learning is attracting tremendous researches from various communities such as information communication technology. Recent studies have greatly contributed to the domain knowledge that the use self-regulatory skills enhance academic performance. Despite these developments in SRL, our understanding on the tools and instruments to measure SRL in online learning environments is limited as the use of traditional tools developed for face-to-face classroom settings are still used to measure SRL on e-learning systems. Modern learning management systems (LMS) allow storage of datasets on student activities. Subsequently, it is now possible to use Educational Data Mining to extract learner patterns which can be used to support SRL. This chapter discusses the current tools for measuring and promoting SRL on e-learning platforms and a conceptual model grounded on educational data mining for implementation as a solution to promoting SRL strategies.

scholarly journals Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review

2018 ◽  
Vol 35 (4-5) ◽  
pp. 356-373 ◽  
Author(s):  
Jacqueline Wong ◽  
Martine Baars ◽  
Dan Davis ◽  
Tim Van Der Zee ◽  
Geert-Jan Houben ◽  
...  
Keyword(s):  
Systematic Review ◽  
Online Learning ◽  
Learning Environments ◽  
Online Learning Environments ◽  
Self Regulated Learning ◽  
Regulated Learning

The Effects of Web-Enabled Self-Regulated Learning and Problem-Based Learning with Initiation on Students' Computing Skills

2011 ◽  
pp. 1614-1627
Author(s):  
Pei-Di Shen
Keyword(s):  
Online Teaching ◽  
Teaching Method ◽  
Problem Based Learning ◽  
Work Force ◽  
Vocational Schools ◽  
Web Based ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Computing Skills ◽  
E Learning

Vocational degree earners represent a major portion of the work force in Taiwan. However, the reality of computing education in Taiwan’s vocational schools is that it’s not so practically oriented, revealing much room for improvement. In this context, we conducted a quasi-experiment to examine the effects of applying web-based self-regulated learning, web-based problem-based learning with initiation, and their combination to enhance students’ computing skills. Four classes in successive years, with a total of 177 third-year students, were divided into 2 (SRL vs. non-SRL) × 2 (PBL with initiation vs. PBL without initiation) experimental groups. Results were generally positive. Results revealed that the effects of webenabled SRL, web-enabled PBL with initiation, and their combinations on students’ computing skills have significant differences. We hope that the online teaching method applied in this study is also useful for those teachers engaged in e-learning, specifically, in vocational schools.

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