Learning Technology Innovations and Ecosystems

Tuesday, February 02 | 5:00PM–5:45PM | Texas Ballroom Salon D, Fourth Floor
Session Type: Professional Development
Michigan's Digital Innovation Greenhouse: A Model for Scaling Innovation
The University of Michigan's new Digital Innovation Greenhouse (DIG) is designed to bridge the gap from early innovation to enterprise scale by providing a collaborative environment in which developers, researchers, and user communities can interact and co-design learning analytics–powered web tools for institutional scale. Three participants—one of the researchers, a developer, and the user community lead—will describe their roles and early successes in the first year of this new model for higher education technologies, focusing on why Michigan embarked on this initiative within the startup culture of the Office of Digital Education and Innovation and how other institutions can adopt this approach.


OUTCOMES: Understand the justification and structure of DIG * Learn how developers, researchers, and users collaborate to scale innovations * Understand how to apply this model to your institution

Faculty, Visuals, and Values: How to Shape a Learning Technology Ecosystem
In 2012, Duke University's Center for Instructional Technology (CIT) began experimenting with MOOCs with an interest in both open education and campus impact. Today, faculty are increasingly interested in content mashups and technology integrations that go far beyond the average course site. Presenters share how CIT evaluates technology tools and platforms to meet faculty needs, maps the Duke learning technology ecosystem, and tests new technologies for fit. We will discuss the methods and applications used, the results of Canvas and Open edX testing (summer 2015) and an Open edX pilot (fall 2015), and the values shaping the ecosystem moving forward.


OUTCOMES: Compare learning ecosystems, needs, and aspirations among session participants * Identify strategies for visualizing a learning ecosystem * Assess methods and applications for evaluating technology platforms

Presenters

  • Michael Greene

    Associate Director, Learning Technology Services, Duke University
  • Steven Lonn

    HR Data Storyteller, University of Michigan-Ann Arbor
  • Rachel Niemer

    Director, Outreach and Access- Academic Innovation, University of Michigan-Ann Arbor
  • Chris Teplovs

    Lead Developer, Digital Innovation Greenhouse, University of Michigan-Ann Arbor

Resources & Downloads