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Learning Analytics Summit 2019 Agenda

 

IMS Global Learning Analytics Summit 2019

Opening New Opportunities to Use Data for Maximum Learning Impact

 

Learning Analytics Summit: 13 November 2019

Location: Microsoft, 15010 Northeast 36th Street, Redmond, WA 98052 (Building 92/Visitors Center)

Special Thanks to Our Meeting Host:

Microsoft sponsor logo

Hotel: The room blocks at the Aloft Seattle Redmond and the Element Seattle Redmond, 15220 NE Shen Street, Redmond, Washington 98052 are now full. Other hotels in the area are the Courtyard by Marriott Seattle Bellevue/Redmond and the Fairfield Inn & Suites by Marriott Seattle Bellevue/Redmond.

Registration Options & Rates (onsite):

  • Quarterly Meeting & Learning Analytics Summit (IMS Members Only) – $650
  • Learning Analytics Summit: One Day Only (Open to All) – $500

Registration Fee Deadlines & Policy:

Online registration is closed. Please register onsite. 

All cancellations received on or before 28 October are eligible for a full refund of fees paid, less a $20 processing fee. Absolutely no refunds will be issued after 28 October but you may transfer your paid registration to another person.

The annual IMS Global Learning Analytics Summit is held during the November Quarterly Meeting for IMS members. The Summit is open to all organizations.

Thank You for Your Support and Leadership!

AEFIS sponsorship logo              Blackboard logo: 2019 Learning Analytics Summit sponsor

Learning Analytics Summit 2019 Sponsors

    Interested in sponsorship? Contact us for details.

 

Wednesday – 13 November

Opening New Opportunities to Use Data for Maximum Learning Impact

Open to IMS Members and the Public/Non-Members
7:30 AM

Registration 

7:30 AM – 8:30 AM

Breakfast (Tahoe Meeting Room, 1st Floor)

8:30 AM – 8:45 AM

Welcome and Opening Comments (2340-2350 Room)

Rob Abel, CEO, IMS Global Learning Consortium

8:45 AM – 9:15 AM

Getting Real About Learning Analytics

Michael Feldstein, Chief Accountability Officer, e-Literate

The natural exuberance for applying new data science techniques to learning analytics is slowly giving way to the equally understandable puzzlement and frustration over lack of rapid progress in this domain. Because cognitive processes are fundamentally unobservable, digital learning environments are and always will be radically data-impoverished relative to the task at hand. In other words, no matter how much data we gather about clicks within the learning environment, it will never be enough for machines to learn about learning through algorithm training processes alone.
 
Michael will argue that the way to make progress in learning analytics is through an interdisciplinary, theory-driven approach that applies data science techniques in the service of testing hypotheses about learning that have drawn from other bodies of evidence. IMS is in a particularly strong position to be a leader in this kind of work but would need to add some approaches to its standards-making facilitation to do so.
9:15 AM – 10:00 AM

State of Analytics: Where Are We Now and What’s Next

Linda Feng, Software Architect, Unicon
Joshua McGhee, Technical Program Manager, IMS Global Learning Consortium
Bracken Mosbacker, Technical Standards Architect, IMS Global Learning Consortium
Etienne Pelaprat, Chief Technology Officer, Unizin
 
This interactive discussion led by the IMS Analytics Product Steering Committee chairs shares insights into the work of the IMS member community related to the adoption of Caliper Analytics, student data privacy, integrated analytics, and much more. Bring your questions and ideas for how IMS can help K-20 institutions advance the use of analytics to impact education. 
10:00 AM – 10:30 AM

Break

10:30 AM – 11:00 AM

Pulling the Curtain on Student Data Privacy 

Brent Engelman, Director of Education Data and Information Systems, Council of Chief State School Officers
Linda Feng, Software Architect, Unicon
Jason Morales, Business Strategy Leader, Data & AI, Microsoft
Nick Thompson, Assistant Director, Common Collaborative Learning Environment, UCLA

As institutions and districts rely increasingly on a highly interoperable digital ecosystem, questions of where data goes, how it is used, and who safeguards it take on concomitant importance. Learn about the IMS Privacy App Vetting initiative and how it can play an important role in an institution's comprehensive privacy strategy. What other sorts of policies do schools need in place to protect students while meeting data exchange requirements from solutions? How are platforms and providers looking at the solutions they provide to fit those requirements? And what further can the IMS community contribute to protect personal information of students

11:00 AM – 12:00 PM

Lighting Talks: Highlighting K-12 and Higher Education Successes, Roadblocks, and What's Next

  • Berkeley Online Advising: Learner Analytics and Student Success, Steven Williams, Service Lead, Research Teaching and Learning Group, University of California Berkeley
  • Breaking Down Silos: Building a Data and Analytics Ecosystem to Support Next Generation Learning, Jamey Hynds, Director, Business Intelligence, Katy Independent School Districts
  • Melding Learning Analytics and Transactional Data to Foster Students Success, Craig Abbey, Associate Vice President and Director of Institutional Analysis, University at Buffalo
12:00 PM

Lunch (Tahoe Meeting Room, 1st Floor)

With overflow in the Summit meeting room

1:00 PM – 1:30 PM

Finding a Black Cat in the Dark Room: The Integrated Analytics Ecosystem

Cary Brown, Director of Higher Education Programs, IMS Global Learning Consortium

Building a standards-based analytics ecosystem is new territory for the education community. Not all of the ‘data’ is observable, educational frameworks continue to evolve, and it is difficult to predict if the foundations we are putting in place are the right foundations to glean the insights we seek.
 
While we can solve the technical aspects of moving data between systems and even analyzing that data, questions are emerging around not just how, but what and why. We're grappling with coming to common understandings of the problems we’re trying to solve, both within the larger community and within institutions themselves. What does an integrated analytics ecosystem look like, or even mean? And what is the appropriate role for IMS in this discussion?
1:30 PM – 2:30 PM

Supplier Lightning Talks: Real-World Implementation

  • The Academic Value Chain for Student Success Using CLR
    Mustafa Sualp, CEO, AEFIS
    This session briefly unpacks the power of Comprehensive Learner Record (CLR) as a strategic model for academic digital transformation and analytics framework for higher ed, improving student and faculty success.

     
  • Engaging the Global Dev Community in a Caliper POC
    Eric Preston, Developer Ambassador, Blackboard
    In this session we will discuss the outcomes from an exciting proof of concept: integrating Kaltura with the Blackboard Data platform via the Caliper standard. We'll outline the goals of the project, discuss how an enthusiastic global community dug into it, and share thoughts on directions we can take the project.
     
  • Putting Analytics into Practice: Student Success and Data Communities
    Chris Bunio, Sr. Director of Higher Education, Microsoft Education
    This session will showcase real examples of impactful student success programs and data communities created to share best practices. 

2:30 PM – 2:45 PM

Break

2:45 PM – 3:15 PM

Mapping Georgia's Academic Genome: Connect Data from K to 20

As the requirements and roles for academic data increase within Georgia’s education sectors, conversations and opportunities to share and connect data across governmental units are growing as well. These promising discussions are occurring at both the institutional level and at the Georgia Department of Education and the University System of Georgia level. While not without challenges, the opportunities are obvious and enticing. This panel will focus on how determined partnerships are envisioning and specifying the next generation of academic data and analytics for education in Georgia.

  • Myk Garn, Assistant Vice Chancellor for New Learning Models, University System of Georgia (Moderator)
  • Rich Copeland, Supervisor of Teacher Quality, Georgia Virtual Learning, Georgia Department of Education
  • Tim Renick, Senior Vice President for Student Success, Georgia State University
  • Warren Goetzel, Senior Digital Learning Manager, Georgia Institute of Technology
3:15 PM – 4:00 PM

Evidence-based Courseware Improvement with OpenSimon Analytics

Norman Bier, Director of OLI and Executive Director for the Simon Initiative, Carnegie Mellon University
Erin Czerwinski, Simon Initiative’s Community/Product Manager, Carnegie Mellon University

Carnegie Mellon University’s Open Learning Initiative and broader learning engineering community has designed data capturing courseware with sophisticated analytic techniques to support the iterative improvement of courseware to demonstrably enact learning. This workshop will give participants the opportunity to put these analytics to work, using real data to inform improvements to an OLI course. CMU’s Simon Initiative is working to accelerate the learning engineering approach, and disseminate it’s adoption to a broader community. Through the OpenSimon toolkit, we offer a set of open and integrated educational technologies and methods that any person or institution can adopt to improve outcomes for their own learners.
 
Join us as we share the Simon approach to learning engineering, the technologies to support each part of the iterative improvement process, and the role of data in the design and improvement of learning materials. Participants will engage in a hands-on exercise to use analytics to improve courseware—exploring sources of educational data, analyzing  that data, and enacting improvements.
4:00 PM – 4:30 PM

Eliminating Equity Gaps through Data and Analytics

Timothy M. Renick, Senior Vice President for Student Success and Professor, Georgia State University
 
For the past decade, Georgia State University has been at the leading edge of demographic shifts in the southeast. While doubling the numbers of non-white and low-income students it enrolls, the university has simultaneously committed to the use of data to inform systematic institutional change. In the process, Georgia State has raised graduation rates by 23 percentage points and closed all achievement gaps based on race, ethnicity, and income-level. It now awards more bachelor’s degrees to African Americans than any other non-profit college or university in the nation. Through a discussion of a series of analytics-based innovations ranging from chat bots and predictive analytics to meta-majors and completion grants, the session will cover lessons learned from Georgia State’s transformation and outline several practical and low-cost steps that campuses can take to improve outcomes for underserved students.