scholarly journals Patterns of engagement in authentic online learning environments

2003 ◽  
Vol 19 (1) ◽  
Author(s):  
Jan Herrington ◽  
Ron Oliver ◽  
Thomas C. Reeves
Keyword(s):  
Online Learning ◽  
Learning Environments ◽  
Authentic Learning ◽  
Short Review ◽  
Online Learning Environments ◽  
Educational Design ◽  
Student Activities ◽  
Learning Scenarios ◽  
Design And Practice ◽  
Authentic Activities

The use of authentic activities within online learning environments has been shown to have many benefits for learners in online units and courses. There has been renewed interest in the role of student activities within course units, as constructivist philosophy and advances in technology impact on educational design and practice. Courses based on these principles have been used successfully across a wide variety of discipline areas. In spite of the growing evidence of the success of authentic learning environments, they are not without their problems. In this paper we discuss patterns of engagement that have emerged from our own research on authentic learning tasks, in particular, the initial reluctance to willingly immerse in learning scenarios that some students experience, and the need for the suspension of disbelief before engaging in the task. The paper proposes ten characteristics of authentic activities, based on educational theory and research, which have been used as criteria for the selection of existing online units or courses for in depth investigation. The paper includes a short review of the literature, a description of the research and some preliminary findings and identification of issues related to the necessity for students to willingly suspend disbelief in order to fully engage in learning scenarios based on authentic tasks.

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 Bend me, stretch me: connecting learning design to choice

2020 ◽  
Author(s):  
Carmen Vallis ◽  
Courtney Shalavin
Keyword(s):  
Online Learning ◽  
Student Engagement ◽  
Learning Environments ◽  
Course Design ◽  
Interactive Learning ◽  
Learning Approaches ◽  
Learner Engagement ◽  
Online Learning Environments ◽  
Educational Design ◽  
Business Context

Active and interactive learning approaches in course design are widely supported as increasing student engagement and learning outcomes in blended or technology-enhanced environments. As such, designing for student engagement in self-paced distance and online learning environments is a growing area of research. However, learning is increasingly developed and delivered via the institutional LMS where the design and sequencing of content is linear and has an inherent directional flow. Learner choice in navigation and activity in online learning environments may also impact learner engagement but there is less research on these factors. In this research project, we evaluate the redesign and prototype of one week of a first-year business subject that offers learner choice in navigating the online environment and choice of activity. Insights into the innovative educational design and implementation of non-linear and interactive learning are presented within an Australian higher education business context, where flexibility and choice emerge as key design affordances.

A motivation treatment to enhance goal engagement in online learning environments: Assisting failure-prone college students with low optimism.

2019 ◽  
Vol 5 (2) ◽  
pp. 116-134 ◽  
Author(s):  
Jeremy M. Hamm ◽  
Raymond P. Perry ◽  
Judith G. Chipperfield ◽  
Patti C. Parker ◽  
Jutta Heckhausen
Keyword(s):  
College Students ◽  
Online Learning ◽  
Learning Environments ◽  
Online Learning Environments

Culturally-Sensitive E-Learning Practices for Library Education

2013 ◽  
Author(s):  
Leslie Farmer
Keyword(s):  
Online Learning ◽  
Learning Environments ◽  
Culturally Sensitive ◽  
Cultural Dimensions ◽  
Educational Model ◽  
Cultural Impact ◽  
Online Learning Environments ◽  
Library Education ◽  
Learning Practices ◽  
E Learning

With globalization, library educators should address culturally-sensitive instruction design and curriculum, particularly in online learning environments. Hofstede’s cultural dimensions and Bigg’s educational model provide frameworks for addressing cultural impact on library education. Specific techniques are suggested for handling language and online learning issues.Avec la mondialisation, les professeurs de bibliothéconomie devraient incorporer les différences culturelles dans leurs cours ainsi que dans le cursus, notamment en milieu d'apprentissage en ligne. Les dimensions culturelles de Hofstede et le modèle éducatif de Bigg offrent un cadre permettant de traiter de l'impact culturel sur l'éducation. Seront présentées différentes techniques pour aborder les questions de langue et d'apprentissage en ligne.

scholarly journals Automatic feedback in online learning environments: A systematic literature review

2021 ◽  
pp. 100027
Author(s):  
Anderson Pinheiro Cavalcanti ◽  
Arthur Diego ◽  
Ruan Carvalho ◽  
Fred Freitas ◽  
Yi-Shan Tsai ◽  
...  
Keyword(s):  
Online Learning ◽  
Literature Review ◽  
Learning Environments ◽  
Systematic Literature Review ◽  
Online Learning Environments ◽  
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