Deadline for Submissions: November 30, 2017
The Blackboard Analytics Symposium is an annual opportunity for Blackboard users to share how they are making use of educational data to support teaching, learning, and student success. Are you using Analytics for Learn or X-Ray Learning Analytics to optimize learning environments? Are you using Blackboard Predict to identify and assist at-risk students? Are you an administrator using Blackboard Intelligence to eliminate barriers to enrollment and retention? Are you an instructor who has made a measurable impact on the student experience by using embedded analytics tools in Learn? Are you a developer or data scientist who is successfully supporting your campus using LMS data extracted using OpenDB? We want to hear from you!
We invite proposals for presentations in one of three formats:
presenters will have 5 minutes and a limit of 5 slides to present information and results from one high-impact learning analytics project / strategy / initiative from their institution. These will be engaging, high-impact, TED talk style presentations and will be professionally recorded for asynchronous viewing.
50 minute deep-dives on any topic related to learning analytics strategy, implementations, or interventions. Sessions may take a variety of forms — traditional lectures, panels, hands-on workshops.
10 minute presentations accompanied by one-page summaries (using a template supplied by the event organizers) describing a high-impact data-informed project/strategy/initiative in progress. The success tour is similar to the traditional delivery of poster presentations, but with more structure and an emphasis on generating actionable feedback.
The goal of the Blackboard Analytics Symposium is to scale innovation through the sharing of high impact evidence-based practices. Strong preference will be given to presentations that describe activities with a measurable impact using Blackboard LMS data and/or Blackboard Analytics products (Analytics for Learn, Blackboard Intelligence, Blackboard Predict, X-Ray Learning Analytics, embedded analytics in Blackboard Learn). Possible themes include (but are not limited to):
– Learning analytics and educational data mining
– Predictive analytics
– Student-facing dashboards
– Data-informed instructional design
– Best practices in the use of embedded analytics
– Faculty development
– Codes of practice and governance
– Analytics adoption and cultural change
– Student success initiatives and interventions
– Optimizing the business of the university using analytics for Finance, HR, and Advancement
If you would like to present at the Blackboard Analytics Symposium, please complete the form below. Deadline for submission is November 30, 2017. Presentations will be accepted on a rolling basis. Please address any questions to Timothy Harfield at firstname.lastname@example.org.