Tuesday

8:00 – Breakfast, Tejas Dining Room

9:00 – Opening Remarks

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Paul Resta
Paul E. Resta holds the Ruth Knight Milliken Centennial Professorship in Learning Technology. His work focuses on the research and development of web-based learning environments, computer-supported collaborative learning strategies and tools, and technology and teacher professional development.He currently serves as President of the International Jury for the United Nations Educational Scientific and Cultural Organization (UNESCO) Prize for ICT in Education.

9:15 – Data Visualization

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David Ebert
David Ebert performs research in novel visualization techniques, visual analytics, volume rendering, information visualization, perceptually-based visualization, illustrative visualization, mobile graphics and visualization, and procedural abstraction of complex, massive data.

9:45 – Global Trends and Challenges in Educational Data: Insights from the NMC Horizon Project 

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Larry Johnson
Join NMC CEO and Horizon Project founder, Dr. Larry Johnson, in an exploration of the trends driving educational institutions and business interest in learning-related data and analytics in the US and internationally.  As analytics and visualization techniques and processes become more and more capable, the ironic challenge facing education is how to generate the kind of data sets that these approaches require.Learn how different sectors and regions are approaching these challenges, how this landscape differs in the higher education and schools contexts, and where this new science may take us.

10:30 - Coffee Break
10:45Learning Together about Bringing Data to the Front Lines: Insights and Inquiries  from Student Success and Action Analytics Initiatives

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Mark Milliron Harrison Keller Richard Rhodes Charles Thornburgh
Higher education institutions are working together on a host of student success initiatives from Completion by Design to Achieving the Dream to state specific college completion programs. Regardless, institutional leaders are having to come together to learn more about how we best use student data, advanced analytics, compelling visualizations, and front-line apps to both shine a light today’s student journey and significantly improve the travel on road ahead.This session will be an interactive dialogue about what we’re learning together in this work with a special focus on how design thinking, visualization, and app development are converging.

12:00 – Lunch (Sponsored by SAS)

Mark Day
Right-sizing our approach to [insert size] Data in Education

For some, Education and data are much like oil and water.  You can put the two together, but you should not expect for them to mix effortlessly.  And if you walk away, they will separate.  This is natural.  Oil molecules are hydrophobic (they ‘fear’ water), and teachers place little value in, distrust or even fear data.  Why?  The data teachers receive from system-level leaders are far more limited than what they collect or observe day-to-day in their classrooms, and these data are increasingly being used to evaluate rather than to diagnose.  Unlike teachers, system-level leaders sit atop far more data, but these data are often siloed, not well understood and feel woefully disconnected from teaching and learning.  Meanwhile, the volume and velocity of data continues to increase as students and teachers adopt more technology, namely in the form of mobile devices, and as classrooms become more connected.  Herein lies the challenge and real opportunity: to link data across systems and settings, to analyze these data to uncover hidden insights that support or perhaps defy conventional wisdom, and then, to build intuitive tools/ visualizations that tell relevant, compelling and timely stories with which people at levels of our educational system can connect when making decisions.  Mark will speak to SAS’ work in Education, as well as other sectors, to highlight common challenges and explore the possibilities to better support educators and policymakers.

1:00 – Policy Panel

Peter Winograd

Peter Winograd
Amy Ballard
Educational Policy and Data Visualization:  Analytical Approaches For Moving Important Conversations Forward

One of the most important goals in data visualization is to develop methodologies that help policy-makers, educators, community members and other use data in constructive ways to address daunting educational issues including the need to increase student achievement; address social, economic and health disparities; prioritize efforts; build political will; allocate limited resources; and evaluate the impact of policy initiatives.This presentation will examine the both the data visualization methods and policy-oriented analytics that the Center for Education Policy Research (CEPR) uses to work with policy-makers at the national, state, and local levels.  Participants in this presentation will learn a number of approached to data visualization and data analyses that they can use to address the key education issues they face in their communities.

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Jared Knowles
Strategy, Leadership, and Narratives — Data Visualization for Policy Change

Opinions about data visualization are everywhere and quick search online reveals thousands of resources to learn how to draw bar graphs and when a scatter plot might be effective. While getting the technical details right is important, it is merely a necessary, but not sufficient, condition for driving change. In order to effectively use data in a decision-making context, analysts must focus on knowing their audience, knowing the decision space, and leading their audience toward constructive engagement with the data.Using examples from senior leadership discussions at the Wisconsin Department of Public Instruction, this talk will explore how to build capacity in an audience and empower them to make decisions informed by analytics. A particular focus will be taken on the deliberate design choices an analyst must confront in order construct visualizations that are accessible and invite discussion. This includes strategies such as simulation, counterfactual modeling, and selection of context cues to bring the data into a familiar frame for the audience.The session will conclude with a brief discussion of practical advice on technologies, formats, and presentation techniques for different audience types.

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Joanne Wendelberger
Informed Data Visualization

Data visualization can be a powerful tool for extracting insights from complex data. Modeling and analysis using rigorous statistical methodology can enable informative visualizations for understanding behavior of populations as well as individuals within the populations. An important component of the analysis process is the quantification of uncertainty associated with models, data, estimates, and predictions. With the explosion of data being collected, it will become increasingly important to develop computational infrastructure and tools required for analysis and visualization of large, heterogeneous data in support of research efforts, policy, and informed decision-making.

2:30 – Coffee Break
3:00 – Ed Vis for Learning

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Chris Dede
Data Visualizations in Immersive, Authentic Simulations for Learning

Virtual worlds enable participants to have immersive, authentic, simulated learning experiences, but understanding what students are and are not learning in these complex environments is not straightforward. Data visualizations offer ways of depicting and analyzing the rich datasets a virtual world generates about each student’s detailed behaviors.This talk describes how we are applying these strategies in two immersive learning experiences. River City and EcoMUVE.

Ben Glazer
Visualizing the Whole Student for Personalized Learning

Eduvant helps K-12 schools use data to accelerate student achievement. Our web-based tools provide educators with automated, intelligent data analytics. To deliver our products, we must (1) securely integrate disparate data in multiple districts and CMOs from 2 to 100 schools, (2) construct intelligent analytics that connect dots and find needles in haystacks, and (3) visualize data for educators at multiple levels within an organization.This presentation will cover the infrastructural and political challenges we’ve encountered in implementing data visualization and reporting tools for educators, lessons learned with specific case study examples of solutions we’ve developed (often in a blended learning context), and recommendations and considerations for future implementations.

4:30 – Break

5:30 – Vendor Showcase and Reception (Sponsored by Intel)

Pearson

6:30 – Dinner (Sponsored by Pearson)

Pearson