scholarly journals Self-Efficacy In Online Learning Environments: A Literature Review

2016 ◽  
Vol 9 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Emtinan Alqurashi

The purpose of this paper was to examine the relationship between self-efficacy and online learning environments. Self-efficacy refers to “beliefs in one’s capabilities to organize and execute the courses of action required to produce given attainments” (Bandura, 1997, p. 3). This paper reviews studies on self-efficacy in online learning environments from 1997 to 2015. Three main categories were discussed: computer self-efficacy, Internet and information-seeking self-efficacy and LMS (Learning Management Systems) self-efficacy. Possible areas of research on self-efficacy in online learning environments were suggested. 

i-com ◽  
2012 ◽  
Vol 11 (1) ◽  
pp. 19-21 ◽  
Author(s):  
Daniel Herding ◽  
Ulrik Schroeder ◽  
Patrick Stalljohann ◽  
Mohamed Amine Chatti

Summary While assessment with closed questions is supported by current Learning Management Systems, there are still shortcomings in formative feedback regarding open-ended tasks. Furthermore, new types of interaction and collaboration in online learning environments have emerged in the last years. This contribution discusses three research questions that have to be answered in order to embed the new forms of assessment in institutional education.


2022 ◽  
pp. 566-586
Author(s):  
Ufuk Tugtekin

The rapid and relatively compulsory integration of learning management systems (LMS) in educational settings has triggered the everchanging needs once again to assess the potential negative outcomes of online learning environments amid the COVID-19 pandemic. This study presents the rationale for developing an instrument for doing such an assessment, and the research demonstrates evidence of reliability and validity qualifications in assessing the fatigue resulting from the excessive online learning experience in higher education. The instrument consists of 28 items and seven factors. The data were collected via learning management systems from a sample of 884 online learning experienced students in higher education. Results of factor analyses revealed that the scale demonstrated no indication of deficiency in reliability or validity when evaluating the fatigue levels resulting from the excessive online learning experience. Consequently, the scale could be used to assess and improve the fatigue levels of individuals who experienced excessive online learning in higher education.


Author(s):  
Latifa Alzahrani ◽  
Kavita Panwar Seth

AbstractCOVID-19 has impacted educational processes in most countries: some educational institutions have closed, while others, particularly in higher education, have converted to online learning systems, due to the advantages offered by information technologies. This study analyzes the critical factors influencing students’ satisfaction with their continuing use of online learning management systems in higher education during the COVID-19 pandemic. Through the integration of social cognitive theory, expectation confirmation theory, and DeLone and McLean’s IS success model, a survey was conducted of 181 UK students who engaged with learning management systems. It was found that, during the pandemic, service quality did not influence students’ satisfaction, although both information quality and self-efficacy had significant impacts on satisfaction. In addition, the results revealed that neither self-efficacy nor satisfaction impacted personal outcome expectations, although prior experience and social influence did. The findings have practical implications for education developers, policymakers, and practitioners seeking to develop effective strategies for and improve the use of learning management systems during the pandemic.


Author(s):  
Anderson Pinheiro Cavalcanti ◽  
Arthur Diego ◽  
Ruan Carvalho ◽  
Fred Freitas ◽  
Yi-Shan Tsai ◽  
...  

Author(s):  
Chattavut Peechapol ◽  
Jaitip Na-Songkhla ◽  
Siridej Sujiva ◽  
Arthorn Luangsodsai

This review examines 12 years of research by focusing on the following question: What are the factors that influence self-efficacy in an online learning environment? There has been a plethora of research concerning self-efficacy. However, few works have focused on the sources of self-efficacy in online-learning environments. Systematic searches of numerous online data-bases published between 2005 and 2017, which covered factors influencing self-efficacy in online learning context, resulted in the investigation of 25 studies. The data were extracted, organized and analyzed using a narrative synthesis. Results revealed that various factors improved self-efficacy and provided evidence of significant sources of self-efficacy in the context of online learning. Moreover, the investigation provides guidance for further research in designing online learning environments to enhance the self-efficacy of learners.


Author(s):  
Wu Bing ◽  
Teoh Ai Ping ◽  
Ye Chun Ming

Following the rapid development of open distance education and the enrichment of online resources and Learning Management Systems in Asia, the quality of interactions amongst learners and online content, teacher and peers has become one of the imperative factors in determining the efficacy of web-based teaching-learning. Online learning is distinctive as compared to face-to-face interaction in terms of how the course material is presented, the nature of interactions, and overall learning experience. This case study explores the understanding, expectation and experience of learners from China and Malaysia based on vital aspects of learning in the web-based environment such as the concept of teaching and learning, the role of the teacher, communication patterns in the virtual classroom, relationships with the teacher and the classmates, and attitudes towards learning achievement. These are reflected in the learning patterns and behavior of online learners as observed in their interaction with the web-based content and participation in the online forum discussions within the online Learning Management Systems. In addition, this case highlights the influence of national culture towards learners’ interaction as displayed in their online learning activities.


Author(s):  
Phil Ice ◽  
Melissa Burgess

This chapter explores how emerging technologies may challenge the CoI framework to evolve and account for new types of learner and instructor interactions. An exploration of processes inherent within the three presences is contextualized against the architecture of learning management systems, with attention given to those elements that are most likely to be impacted moving forward. As examples, innovations in digital publishing, multi-screen, multi-user virtual environments, on-demand education, adaptive learning environments and analytics are discussed, with a focus on how advancements in these areas may require rethinking and realignment of some aspects of the CoI framework.


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