The Virtuous Circle of Learning Design and Learning Analytics to Develop Student-Centered Online Education

2020 ◽  
pp. 361-375
Author(s):  
Lisette Toetenel ◽  
Bart Rienties
Keyword(s):  
Online Education ◽  
Learning Analytics ◽  
Learning Design ◽  
Student Centered

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 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.

scholarly journals Learning design for science education in the 21st century

2013 ◽  
Vol 45 (2) ◽  
pp. 404-421 ◽  
Author(s):  
Daniel Churchill ◽  
Mark King ◽  
Bob Fox
Keyword(s):  
Information Technology ◽  
Information Transfer ◽  
Conceptual Knowledge ◽  
Conceptual Models ◽  
Technology In Education ◽  
Learning Design ◽  
Student Centered ◽  
Learning Modules ◽  
Design For Science ◽  
Support Evaluation

Contemporary technological and social developments demand transformation of educational practices. Teachers and schools are no longer fountains of knowledge that fill students with information. Rather, their primarily role is to equip students with new literacies, competencies for productive use of information technology, and sufficient disciplinary-specific bases of conceptual knowledge. This requires changes toward student-centered practices. In such contexts, teachers are designers of learning; therefore lesson planning is replaced with a concept of ?learning design.? This paper introduces the RASE (Resources-Activity-Support-Evaluation) learning design model developed as a framework to assist teachers in designing learning modules. Central to RASE is the emphasis on the design of activities where students engage in using resources and in the production of artifacts that demonstrate learning. The paper also emphasizes the importance of ?conceptual models? as a special type of educational multimedia resource, and its role in assisting learning and application of concepts, as opposed to the ?information transfer? models. RASE is beginning to emerge as a powerful framework for transformation of teachers and their traditional practices to contemporary, relevant student-centered practices. The model is also an effective framework for productive uses of information technology in education.

scholarly journals Online Graduate Student Perceptions of Program Community

2019 ◽  
Vol 16 ◽  
Author(s):  
Craig Shepherd ◽  
Doris Bolliger
Keyword(s):  
Online Education ◽  
Student Perceptions ◽  
Learning Process ◽  
Online Course ◽  
Self Directed Learning ◽  
Student Centered ◽  
Student Centered Learning ◽  
Course Content ◽  
E Learning ◽  
Directed Learning

Facilitating an online course in today’s student population requires an educator to be innovative and creative and to have an impactful online presence. In the current online learning environment (also known as e-learning), keeping students’ thoughtfully engaged and motivated while dispensing the required course content necessitates faculty enabling a safe, nonjudgmental environment whereby views, perspectives, and personal and professional experiences are encouraged. The educator must exhibit an educator-facilitated active, student-centered learning process, whereby students are held accountable for their active participation and self-directed learning while balancing a facilitator role to further enhance the learning process. This article explores one educator’s reflective practice process that has been developed over numerous years as a very early adopter of online education. It will explore the organizational aspect of teaching-facilitating a dynamic robust online course.

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