scholarly journals Learning Design and Student Behavior in a Fully Online Course

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Anelise Sabbag ◽  
Samuel Frame
Keyword(s):  
Student Behavior ◽  
Online Course ◽  
Learning Design

scholarly journals Conceptualising a visual representation model for MOOC-based blended learning designs

2019 ◽  
pp. 1-26 ◽  
Author(s):  
Laia Albó ◽  
Davinia Hernández-Leo
Keyword(s):  
Blended Learning ◽  
Visual Learning ◽  
Online Course ◽  
Learning Design ◽  
Design Elements ◽  
Face To Face ◽  
Massive Open Online Course ◽  
Design Representation ◽  
Representation Model ◽  
Fostering Reflection

This article reports on a study about how massive open online course (MOOC)-based blended learning designs can be visually represented to facilitate their comprehension and sharing. We carried out an iterative co-creation process with different stakeholders to conceptualise a visual learning design representation model within the context of blending MOOCs with face-to-face courses. The data analysed was derived from questionnaires and the generated representations. Results indicate that the representation enabled educators to easily visualise the overall structure of the learning designs and the relationships between the different design elements, providing a context for fostering reflection and decision-making during the planning of MOOC-based blended learning designs.

scholarly journals Design Considerations for Integrating Twitter into an Online Course

2015 ◽  
Vol 16 (4) ◽  
Author(s):  
Linda Elizabeth Rohr ◽  
Jane Costello ◽  
Thomas Hawkins
Keyword(s):  
Social Presence ◽  
Online Courses ◽  
Application Programming Interface ◽  
Assessment Process ◽  
Online Course ◽  
Learning Design ◽  
Design Considerations ◽  
Application Programming ◽  
Programming Interface ◽  
Assessment Activities

<p>While the use of Twitter for communication and assessment activities in online courses is not new, it has not been without its challenges. This is increasingly true of high enrolment courses. The use of a Twitter Evaluation application which leverages a Learning Management System’s (LMS’s) application programming interface (API) provides a solution which reduces the administrative overhead associated with tracking students’ Tweets and allows the grader to focus on the assessment of the Tweets’ quality. Such an application and how it improved the assessment process of grading Tweet events is described. In addition to the technological considerations, the soundness of the Twitter learning design in the course impacts the effectiveness of the Tweet events for learning and enhancing the much needed online social presence. Learning design considerations are also discussed. </p>

scholarly journals Visualizing Student Behavior and Performance in an Online Course

2021 ◽  
Author(s):  
Michael J Parker
Keyword(s):  
Online Learning ◽  
Student Behavior ◽  
Online Course ◽  
Course Structure ◽  
Course Material ◽  
Potential Benefits ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Online learning has been an area of tremendous growth in recent years [1], further accelerated by necessity during the coronavirus pandemic [2]. Without the feedback provided by synchronous sessions, however, instructors may lack ongoing insight into students’ progress and performance in fully asynchronous online offerings. Providing greater visibility into students’ online learning behavior has several potential benefits: 1) teachers who seek to provide live sessions that depend on knowledge from asynchronous resources will have a better gauge of students’ preparation; 2) enhanced understanding of the relationship between student pacing and performance can help teachers and researchers characterize the impact of timely engagement with online course material; 3) providing a means of monitoring the effect of changes in course structure or incentives may guide course designers/planners in continuous improvement; and 4) visualizations that illustrate the relationship between students’ course progress and performance have the promise of allowing teachers to take steps early to positively affect students’ outcomes. In this visual case study, visualizations are provided for exploration of the relationship between student progress and performance in an online medicine-related course.

scholarly journals Including Learning Analytics in the Loop of Self-Paced Online Course Learning Design

2020 ◽  
Author(s):  
Hongxin Yan ◽  
Fuhua Lin ◽  
Kinshuk
Keyword(s):  
Online Education ◽  
Learning Analytics ◽  
Course Design ◽  
Online Course ◽  
Full Potential ◽  
Learning Design ◽  
Design Strategies ◽  
Student Modelling ◽  
Tutoring Systems ◽  
Online Educators

AbstractOnline education is growing because of its benefits and advantages that students enjoy. Educational technologies (e.g., learning analytics, student modelling, and intelligent tutoring systems) bring great potential to online education. Many online courses, particularly in self-paced online learning (SPOL), face some inherent barriers such as learning awareness and academic intervention. These barriers can affect the academic performance of online learners. Recently, learning analytics has been shown to have great potential in removing these barriers. However, it is challenging to achieve the full potential of learning analytics with the traditional online course learning design model. Thus, focusing on SPOL, this study proposes that learning analytics should be included in the course learning design loop to ensure data collection and pedagogical connection. We propose a novel learning design-analytics model in which course learning design and learning analytics can support each other to increase learning success. Based on the proposed model, a set of online course design strategies are recommended for online educators who wish to use learning analytics to mitigate the learning barriers in SPOL. These strategies and technologies are inspired by Jim Greer’s work on student modelling. By following these recommended design strategies, a computer science course is used as an example to show our initial practices of including learning analytics in the course learning design loop. Finally, future work on how to develop and evaluate learning analytics enabled learning systems is outlined.

scholarly journals Applying the Community of Inquiry e‑Learning Model to Improve the Learning Design of an Online Course for In‑service Teachers in Norway

2021 ◽  
Vol 18 (6) ◽  
Author(s):  
Krystyna Krzyszkowska ◽  
Maria Mavrommati
Keyword(s):  
Instructional Design ◽  
Student Perceptions ◽  
Community Of Inquiry ◽  
Course Design ◽  
Learning Experience ◽  
Learning Model ◽  
Online Course ◽  
Learning Design ◽  
Digital Competence ◽  
E Learning

: Education authorities in Norway endorse online courses for in‑service teachers to raise education standards and to promote digital competence. Naturally, these offerings present teachers with opportunities to integrate new theoretical perspectives and their professional experience in an online learning community. The inquiry into one's professional practice, enhanced by critical reflection in a group of fellow professionals, is considered essential for a lifelong learning practitioner, however, the emerging examples of instructional design tend to prioritise content delivery rather than professional discourse. In this paper, we demonstrate how the Community of Inquiry (CoI) framework could be adopted to transform learning design, which prioritises the delivery of individual assignments, into a more collaborative learning experience. Using the CoI instructional design principles and the associated questionnaire, we have investigated student perceptions of learning via an online course and formulated recommendations about how the course design can be refined to promote learning in the community. Despite the modest evidence, this investigation can serve as an example of how a concrete learning design can be improved based on this validated e‑learning model.

Five Factors for Planning

2011 ◽  
pp. 1-38
Author(s):  
Katy Campbell
Keyword(s):  
Development Process ◽  
Online Course ◽  
Learning Design ◽  
Planning Decisions ◽  
Five Factors ◽  
E Learning ◽  
Delivery Technology ◽  
The Web

This chapter is for a reader who is at the beginning of the writing or development process, or who wants to affirm planning decisions. In this chapter you will consider five planning aspects in e-Learning design: 1. Outcomes 2. Learners 3. Activities 4. Assessment 5. Resources An overview of each aspect will help you describe your own hopes and expectations for your online course. By the end of the chapter you should feel confident that the Web is a good delivery technology for your course.

Use of analytics to improve student behavior and performance in an online course implementation

2015 ◽  
Author(s):  
Clariz Thea M. Cacatian ◽  
Marc Rhett C. Francisco ◽  
Arah Jodelle T. Jamandra ◽  
Katherine Joy C. Manabat ◽  
Jaime D.L. Caro
Keyword(s):  
Student Behavior ◽  
Online Course ◽  
And Performance

scholarly journals The dinosaur that lost its head: A contribution to a framework using Learning Analytics in Learning Design

2019 ◽  
Vol 12 (21) ◽  
pp. 21 ◽  
Author(s):  
René Boyer Christiansen ◽  
Karsten Gynther ◽  
Rasmus Jørnø
Keyword(s):  
Learning Analytics ◽  
Design Research ◽  
Online Courses ◽  
Online Course ◽  
Learning Design ◽  
Massive Open Online ◽  
Educational Design ◽  
Massive Open Online Course ◽  
Educational Design Research

This paper presents an approach to the meaningful use of learning analytics as a tool for teachers to improve the robustness of their learning designs. The approach is based on examining how participants act within a Massive Open Online Course (MOOC) format through learning analytics. We show that a teacher/designer can gain knowledge about his or her intended, implemented and attained learning design; about how MOOC participants act in response to these and about how students are able to develop ‘study efficiency’ when participating in a MOOC. The learning analytics approach makes it possible to follow certain MOOC students and their study behaviour (e.g. the participants who pass the MOOC by earning enough achievement badges) and to examine the role of the moderator in MOOCs, showing that scaffolding plays a central role in studying and learning processes in an educational format such as a MOOC. Key words: MOOCs, Massive Open Online Courses, data-saturated, learning analytics, learning design, educational design research, LMS.

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