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Educational Data & Analytics Track [clear filter]
Wednesday, May 17

10:45am MDT

Membership, Provisioning and Analytics
When it comes to reading the textbook, the earlier you start, the better. Join us for a discussion that explores how VitalSource is using the membership service to ensure that students have their textbooks on the first day of class and that they start off on the right foot by reading their assignments.

avatar for Andrew Alfers

Andrew Alfers

Vice President, Product Management, VitalSource Technologies, Inc.
Andrew Alfers is Vice President, Product Management, for VitalSource. He currently leads product managers and software engineers driving vision and strategy, planning, and execution for VitalSource's Integrate (API services & integration applications) and Analyze (user engagement... Read More →
avatar for Daniel Green

Daniel Green

Director, Product Analytics, Ingram Content/VitalSource

James Rissler

Product Manager, VitalSource Technologies, Inc.

Wednesday May 17, 2017 10:45am - 11:15am MDT

11:30am MDT

Real Time IMS Caliper Events: A Working Model
Instructure and UC Berkeley have collaborated to enable the flow of IMS Caliper 1.1 formatted real-time events from a vendor-hosted LMS to an institutional Learning Record Store (LRS). Working closely with the IMS Caliper technical team, Instructure has instrumented a subset of the Canvas LMS Live Events service. These Caliper events are being consumed by an SQS endpoint feeding UC Berkeley's AWS-native LRS and are being expressed through a student-facing LTI dashboard prototype. Is this another milestone for learning data interoperability? Come hear about the challenges, progress, and future prospects.


Sandeep Jayaprakash

Data Scientist, UC Berkeley

Chris Ward

Product Manager, Data & Analytics, Instructure

Wednesday May 17, 2017 11:30am - 12:00pm MDT

1:00pm MDT

You Must Work for Your Data Before It Can Work for You
Collecting and aggregating data from multiple sources seems simple enough, right? Especially when utilizing an industry specification, how could it possibly be that difficult? Not so fast! This presentation will walk attendees through McGraw Hill's journey of utilizing the IMS Caliper specification to capture, transmit, and aggregate student performance across multiple activity types in multiple sources. We'll touch on the challenges faced, lessons learned, and the powerful insights the data provided. 


Todd Greene

Director, Technical Product Management, McGraw-Hill Education
avatar for Jon Greene

Jon Greene

Technical Product Manager, McGraw-Hill Education

Wednesday May 17, 2017 1:00pm - 1:30pm MDT

1:45pm MDT

Big Data Analytics & Student Success: Generated by Students, for Students
This session will provide a look at Purdue University's new big data and learning analytic tool, Forecast and discuss how it is helping put student success back into the hands of the people, the students. This session will also address some of the challenges of creating a tool with students as the primary stakeholders.


Rachel Clark

Educational Technologist, Purdue University

Wednesday May 17, 2017 1:45pm - 2:15pm MDT

2:35pm MDT

Building a Robust Learning Analytics Infrastructure
University of Michigan developers have implemented an infrastructure to support learning analytics. Caliper (from IMS Global) is used as the event representation, using caliper-php. Multiple PHP applications, written at U-M, emit events to be stored in an LRS. This session explains the decision process used to arrive at the current form of the architecture and details the components of the architecture and their relationships. 

avatar for Lance E Sloan

Lance E Sloan

Senior Application Developer, University of Michigan

Wednesday May 17, 2017 2:35pm - 3:05pm MDT

3:20pm MDT

Data Access in the Cloud Based World
Two key strategic trends are in progress: pedagogical use of learning analytics and the move to cloud infrastructure. This session explores the intersection of these two trends. As we seek to bring more learning analytics to drive student success, ensuring robust access to learner data is essential. We will discuss past practices and look to current options in the context of cloud infrastructure, and invite attendees to bring their practices and questions to our session.

avatar for Sean Yo

Sean Yo

Senior Product Manager, Analytics & Data Platform, D2L
Hi I'm Sean.I'm smart and I get things done.I ❤ the Open Web.I build technology and communities - usually at the same time.I built my first website in 1996 and I still wake up thinking about what to build next.I geek out on the web, accessibility, user experience, cooking and games.I... Read More →

Wednesday May 17, 2017 3:20pm - 3:50pm MDT
Thursday, May 18

8:30am MDT

Using Machine Learning: Lessons Learned - Predicting Student Behavior
Idaho Digital Learning's use of Machine Learning in predicting student outcomes and recommending future courses will be reviewed and discussed. Detail will be provided on Idaho Digital Learning's process of setting up machine learning environments, challenges in using the results, and the promise of Cloud based machine learning opportunities.

avatar for Ryan Gravette

Ryan Gravette

Director of Technology, Idaho Digital Learning Alliance
Over the past 19 years, Ryan Gravette has focused on using Edtech to tear down the barriers to great teaching and learning. He has worked as a school technology specialist, data integration specialist, and technology director. He currently serves as the Technology Director for Idaho... Read More →

Thursday May 18, 2017 8:30am - 9:00am MDT

9:15am MDT

Guerrilla Analytics: Agile Analytics Methods Under Fiscal Restraints
Enable your business intelligence group to apply inventive methods to free or readily available resources to achieve big data results with a small pocket-book.


Stephen Mehlo

Director, Advanced Analytics, Houghton Mifflin Harcourt

Thursday May 18, 2017 9:15am - 9:45am MDT

10:00am MDT

Harnessing Caliper Data to Build Persuasive Technology for Student Success
Over the past several years, the University of Kentucky has built a robust analytics infrastructure to support the use of real-time learning data to improve student academic success. In spring 2017, we piloted a personalized direct messaging program built on a Caliper-formatted Canvas data stream in several large STEM courses with traditionally high failure rates. This presentation will include an overview of UK’s technical architecture, a description of the pilot program, and a discussion of our first semester results and planned next steps.


Virginia Lacefield

University of Kentucky

Thursday May 18, 2017 10:00am - 10:30am MDT