Virtual School Meanderings

June 8, 2016

June is Learning Analytics Month at OLC

From Monday’s inbox…

June is Learning Analytics Month at OLC
Learning analytics is a key teaching and learning topic for educators and for OLC. That’s why we’re dedicating this month to the topic, with an Online Learning Journal Special Issue, a free webinar series and a new workshop. We hope you can join us for these events!

JUNE 20 – 26, 2016
During this one week workshop, we will learn about the fundamental concepts and approaches used in this quickly evolving field. Designed with the practitioner in mind, this applied analytics course will include examples of learning analytics approaches and projects happening within higher education as well as learning how to build capacity toward an analytics project or strategy. Participants will learn how to identify small scale, proof-of-concept learning analytics projects and methods that they can try at their own institutions.
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We are pleased to announce thisOnline Learning Journal Special Issue devoted to learning analytics for online teaching and learning. This collection of articles presents readers with information about designing environments within online learning while also highlighting studies that expand upon what exists in currently published research. The authors here represent a significant contribution to practical decision making for administrators,insights for faculty teaching online courses, and works for other researchers to build upon.

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Join OLC as we host experts in the field of learning analytics to share insights, as well as theory and practitioner-based skills in this series of webinars.

June 22 – Pocket Data Analytics: Practical Uses of Course Analytics to Improve Student Performance

Wednesday, June 22, 2016, 12:00-1:00pm ET

Presenter: John Vivolo, Director of Online & Virtual Learning,
NYU Tanden School of Engineering

This session will provide an introduction to the practical application of analytics in which instructors can use to proactively improve student engagement and performance. These changes would occur during an on-going semester. It is a practical use of analytics for the everyday instructor, not the data scientist.

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June 29 – Using Data-Driven Instructional Design to Optimize Student Outcomes

Wednesday, June 29, 2016, 12:00–1:00pm ET

Presenter: Dr. Benny Johnson, Ph.D., Director of Research & Development, Acrobatiq

Using learning curve analysis and related education data science techniques, Dr. Johnson will discuss and demonstrate how Acrobatiq is using outcomes-based course design and data-driven curriculum development techniques to improve course completions, increase student success rates, and enable deep insights into learning performance for faculty, course mentors and others involved in the learning process.

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Co-sponsored by:



Online Learning Consortium, Inc, PO Box 1238, Newburyport, MA 01950

The Online Learning Consortium | P.O. Box 1238 | Newburyport | MA | 01950

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