Learning analytics to support self-regulated learning in asynchronous online courses: A case study at a women's university in South Korea

2018 ◽  
Vol 127 ◽  
pp. 233-251 ◽  
Author(s):  
Dongho Kim ◽  
Meehyun Yoon ◽  
Il-Hyun Jo ◽  
Robert Maribe Branch
Keyword(s):  
South Korea ◽  
Learning Analytics ◽  
Online Courses ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Asynchronous Online Courses

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.

Preparing Online Learning Readiness with Learner-Content Interaction

2016 ◽  
pp. 216-243 ◽  
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.

Breaking the code: barriers affecting inclusive thinking-HETL Scotland 2017

2018 ◽  
Vol 10 (2) ◽  
pp. 118-129
Author(s):  
Linda Carol Algozzini ◽  
Valencia Lavon Gabay ◽  
Shannon D. Voyles ◽  
Kimberly Bessolo ◽  
Grady Batchelor
Keyword(s):  
Higher Education ◽  
First Century ◽  
Individual Student ◽  
Change Model ◽  
Participatory Action ◽  
Content Type ◽  
Self Regulated Learning ◽  
Group Coaching ◽  
Regulated Learning

Purpose This case study reviews a group coaching and mentoring (GCM) change model and its significance in dissolving barriers and promoting equity in virtual learning environments. The purpose of this paper is to examine the model’s approach to shifting instructor mindsets to align with institutional core values and initiatives that best serve a twenty-first century adult learner. Design/methodology/approach The change model, grounded in GCM, metacognition, self-regulated learning, and community of practice theory, incorporates participatory action research design focusing on cycles of action, reflection, and evaluation. Findings This study illustrates the change model’s success in moving educators toward deeper understanding of self and individual student differences. It further showcases how professionals adapt and improve practices using self-regulated learning and metacognition to better serve the population they teach. Practical implications The GCM framework improved engagement. The design, while implemented in a higher education arena, is applicable to other entities seeking to bridge gaps using metacognition and self-regulated learning to become adaptable and inclusive. Originality/value The change model, recipient of one of this year’s Effective Practice Awards from the Online Learning Consortium (2017), is recognized for innovation and replicability in and beyond higher education.

scholarly journals Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning

2021 ◽  
Author(s):  
Yizhou Fan ◽  
Wannisa Matcha ◽  
Nora’ayu Ahmad Uzir ◽  
Qiong Wang ◽  
Dragan Gašević
Keyword(s):  
Learning Analytics ◽  
High Performance ◽  
Process Mining ◽  
Learning Experience ◽  
Learning Design ◽  
Metacognitive Control ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
High Level ◽  
Evaluation Of Learning

AbstractThe importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of learning analytics (LA), shows that SRL skills are best exhibited in choices of learning tactics that are reflective of metacognitive control and monitoring. However, in spite of high significance for evaluation of learning experience, the link between learning design and learning tactics has been under-explored. In order to fill this gap, this paper proposes a novel learning analytic method that combines three data analytic techniques, including a cluster analysis, a process mining technique, and an epistemic network analysis. The proposed method was applied to a dataset collected in a massive open online course (MOOC) on teaching in flipped classrooms which was offered on a Chinese MOOC platform to pre- and in-service teachers. The results showed that the application of the approach detected four learning tactics (Search oriented, Content and assessment oriented, Content oriented and Assessment oriented) which were used by MOOC learners. The analysis of tactics’ usage across learning sessions revealed that learners from different performance groups had different priorities. The study also showed that learning tactics shaped by instructional cues were embedded in different units of study in MOOC. The learners from a high-performance group showed a high level of regulation through strong alignment of the choices of learning tactics with tasks provided in the learning design. The paper also provides a discussion about implications of research and practice.

Sign in / Sign up

Export Citation Format

Share Document