Technologies to Enhance Self-Regulated Learning in Online and Computer-Mediated Learning Environments

2020 ◽  
pp. 37-52
Author(s):  
Jaclyn Broadbent ◽  
Ernesto Panadero ◽  
Jason M. Lodge ◽  
Paula de Barba
Keyword(s):  
Learning Environments ◽  
Mediated Learning ◽  
Self Regulated Learning ◽  
Computer Mediated ◽  
Regulated Learning

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

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.

Computer Mediated Learning

2011 ◽  
pp. 73-86
Author(s):  
Alison Ruth
Keyword(s):  
Online Learning ◽  
Learning Environment ◽  
Learning Environments ◽  
Learning Theory ◽  
Computer Mediated Communication ◽  
Online Learning Environment ◽  
Mediated Learning ◽  
Mediated Communication ◽  
Computer Mediated ◽  
Communication Needs

This chapter proposes that Burke’s (1969) dramatistic analysis using the Pentad (act, scene, agent, agency, purpose) is a valuable methodological tool for investigating how learning theory offers a better understanding of mediated learning environments. It is argued that this framework provides a coherent and comprehensive consideration of learning and communication mediated by electronic means. Research into computer mediated communication needs to acknowledge the intertwining notion of the agents, acts and agency (mediation) within a specific scene, particularly in an online learning environment. Burke’s (1969) work provides a useful framework for discussing and describing a mediated environment and appears to be a valid framework within which to analyze different learning and communicative environments.

The Value of Metacognition and Reflectivity in Computer-Based Learning Environments

2016 ◽  
pp. 105-136
Author(s):  
Sammy Elzarka ◽  
Valerie Beltran ◽  
Jessica C. Decker ◽  
Mark Matzaganian ◽  
Nancy T. Walker
Keyword(s):  
Learning Environments ◽  
Real World ◽  
Self Regulation ◽  
Future Research ◽  
Self Regulated Learning ◽  
Computer Based Learning ◽  
Real World Application ◽  
Regulated Learning ◽  
Computer Based

The purposes of this chapter are threefold: to explore the research on and relationships among metacognition, reflection, and self-regulated learning; to analyze students' experiences with metacognition, reflection, and self-regulated learning activities in computer-based learning (CBL) courses; and to provide strategies that can be used in a CBL environment to promote students' metacognition, reflection, and self-regulation. A review of underlying frameworks for and prior study findings in metacognition and reflection are presented. Case study findings are also described and form the basis for the suggested strategies. The value and implications of using such strategies are also offered. Finally, future research should address the teaching of metacognition and reflection in CBL environments with an emphasis on real world application.

Preparing Online Learning Readiness with Learner-Content Interaction

2016 ◽  
pp. 586-614
Author(s):  
Juhong Christie Liu ◽  
Elaine Roberts Kaye
Keyword(s):  
Online Learning ◽  
Learning Environments ◽  
Online Courses ◽  
Learning Readiness ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Content Interaction ◽  
Online Learning Readiness ◽  
Synchronous Online

Online learning readiness is fundamental to student successful participation, presence, and interaction in online courses. Effective facilitation of these key components depends on sound instructional design. In self-directed online environments, learner-content interaction and scaffolding self-regulated learning have been found of primary importance to generate meaningful learning. To provide a solution to the challenges of interoperability of various functions in synchronous online learning environments, this chapter presents a case study about the design and development of a self-paced orientation to help students acquire online learning readiness. Learner-content interaction is strategically utilized in the design to scaffold self-regulated learning. The results of the case study demonstrate that this orientation positively prepares students to be ready for learning in a synchronous online environment. The approach can be of practical use to individuals and groups.

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