Theme: Turning Big Data into Big Benefits for Students
Location: Denver Grand Hyatt, 750 Welton St, Denver, CO 80202
Dates: October 26, 27, 2017 (Thursday, Friday)
Thursday, October 26
1:00 - 2:00 pm: Arrivals and Event Registration
2:00 - 4:00 pm: Off-site visit to mindSpark Learning, a place for educators to collaborate, create, and innovate. Attendees will enjoy a tour of this innovative facility, followed by an opportunity to address, discuss and question the idea of using data to build, integrate, and measure creativity in learning.

4:30-5:30 pm: Opening Keynote by Scott McLeod: Assessment for Deeper Learning

Citizenship, college, and career readiness  demand that students engage in deeper and higher-level learning more than ever before. How do we configure our assessment to incorporate critical thinking, communication, collaboration, creativity, global awareness, and other important skills that are difficult to measure? How do we include amorphous and inexplicit student learning outcomes in our data systems? Scott McLeod, widely recognized as one of the nation’s leading experts on school technology leadership issues, will discuss some possibilities in his keynote address.

5:30 - 6:15 pm:  Welcome Reception
6:20 - 7:40 pm:  Dinner and Introductions
Friday, October 27
7:30 - 8:15 am:  Breakfast
8:15 - 9:15 am: Advances in educational data mining and how they can be used to improve teaching and learning
Speaker: Ryan Baker, Associate Professor, University of Pennsylvania, Director, Penn Center for Learning Analytics
From making travel plans, to online purchases, to watching videos, each day we generate vast amounts of data that contribute to the world of big data. We have already seen big data play a significant role in areas like marketing and science. Now, education has joined the big data movement.
Educators and researchers can access incredibly rich and meaningful logs about student learning behavior on educational software, and by employing EDM (education data mining), discover a great deal about how students learn. By connecting this powerful data and asking the right questions, there is potential to change the future of education.
9:15 - 10:15 am: Small-Group Discussions: Data in Action
Attendees will break into three groups, which will rotate every 20 minutes to discuss the following topics:
  • Predictive Analytics: Using Big Data to Change Student Trajectories
    • Kristal Ayres,  Ed.D, Chief Client Services Officer, BrightBytes
  • Creating and Measuring Data-Driven Technology Initiatives
    • Rob Residori, Director of State Relationships and Enterprise Solutions; Genevieve Hartman, Ph.D. Vice President of Research, BrightBytes
  • Humanize Your Data to Guide Decisions and Support Organizational Goals
    • Ken Goldstein, SVP of State Partnerships, BrightBytes
  • Data Unification and Management: The importance of clean data and what this means
10:30 am - 11:20 am: Concurrent Breakout sessions (3 choices)*
11:30 am - 12:20 pm: Concurrent Breakout sessions (3 choices)*
12:30 - 1:30 pm:  Lunch, Dessert Reception and Networking
1:40 – 2:30 pm: Concurrent Breakout sessions (3 choices)*
2:40 – 3:30 pm: Concurrent Breakout sessions (3 choices)*
3:40 – 4:30 pm: Closing session: Annual Report: Using Data to Improve Teaching and Learning: What’s Working and Why

Looking across millions of individual student and teacher data points, learn about the defining characteristics of high-performing and low-performing schools in terms of their Technology & Learning CASE™ score. This score is calculated across a research-based framework that measure technology across Classroom, Access, Skills, and Environment. How are high-performing schools with challenging characteristics (high free/reduced lunch population, degree of diversity, and setting) defying the odds, and more importantly, what enables success versus hinders it?  Lastly, what can we learn from these outliers with regards to transformation in the classroom.


6:00 - 8:30 pm:  Closing Dinner