This year's Blackboard Analytics Symposium (BAS19) was held in Austin Convention Center, TX, and featured presentations from Blackboard Analytics clients, Product Management and Consulting, with a keynote presentation by Timothy McKay. Below you will find details of each session along with the presentation slides (in PDF format). Follow the Blackboard Analytics community for upcoming news about Blackboard Analytics Symposium 2020.
|Timothy McKay||Engaging Faculty in Learning Analytics: from One Institution to Many (Keynote)||Many faculty members care deeply about the success of their students. Given the opportunity, they are eager to use learning analytics methods to support that success. In this talk, I will tell the story of the discovery, loss, rediscovery, and expansion in the use of learning analytics at the University of Michigan. I will also describe newly emerging ways in which multi-institutional data can be brought to bear in motivating change in higher education.|
|Andy Miller, Ruth Newberry, Szymon Machajewski, Christopher Brandt, Venkat Gadepalli||5 in 5 Presentations||Presenters 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|
|Rachel Scherer||Blackboard Portfolio Keynote||Blackboard provides a range of analytics solutions to help drive and monitor educational and institutional strategies. Learn about the currently available solutions as well as upcoming analytics capabilities to help you make effective and informed decisions.|
|Andy Miller||Dramatically Decode Data: Debunking the Data-Storytelling Oxymoron||It doesn't matter how compelling your data are, if you cannot communicate, you cannot convince people to act. The concepts of storytelling typically engage the right brain, whereas analytics engages the left brain, making the idea of Storytelling with Data a bit of an oxymoron. Yet, this truth remains a critical component in driving action via data. Learn some fundamental principles in communication and effective storytelling to engage your audience and drive action.|
|Sharlene Heard, Lauri Mantooth, Ming Wright, Ken Murphy||Happiness is Warm People, Financial and Student Data: The Chapman University Story||In 2 years, Chapman University implemented Blackboard Analytics modules in support of student, HR and financial reporting. Come hear how Chapman University is empowering units across the University with analytical tools for better decision making.|
|Christopher Brandt||Developing the Data Analyst as Internal Consultant||This session will cover the scalability of data expertise through the development of subject matter experts (SME) data analysts into “internal consultants” and discuss their mentor development based on Human Recourse Development (HRD) principles that empower and enable these individuals and their expertise to be known utilized as a resource throughout the university.|
|Liz Crowell, Sean Gausman||The Trials and Tribulations of Building a Custom Dashboard||From the humble beginnings of automating a paper statistics report to predictive analytics, the KPI Dashboard (custom built by the IDEA Team at UCO using Blackboard Analytics) has had its share of growing pains as well as triumphs. This session will discuss some of the features (room search, schedule toxicity, enrollment projection, and department and university profiles) and the pitfalls, both hit and avoided, along the way. We will also look at additional uses and features that we hope to implement in the future. Come to commiserate or learn from our mistakes.|
|Curt Sherman||The Cost of Instruction: Using Analytics to Improve Decision Making about Academic Programs|
Concordia University is using data analytics to better understand the true costs of instruction. With Blackboard Analytics, Concordia is able to calculate cost and revenue measures at an atomic level. Because measures are available at the finest possible grain, data can be viewed at the level of individual class sections and student registrations in those sections. Measures of direct instructional compensation are also available at the level of individual instructional assignments to sections.
Because measures are calculated at the atomic level, class measures can be rolled up to courses, subjects, departments, colleges, instruction methods, and other attributes. Student registrations can also be rolled up by students, student levels, programs, and majors. This has also afforded Concordia-Nebraska the flexibility to build out sub-populations for views by athletic teams and other areas.
This flexibility in analyzing and exploring data allows our Institution to ask the fundamental question “Who is Teaching what to whom and at what cost”. This measured information allows the University to make better informed decisions on programs and methods of teaching across campus.
|Andy Miller||No Surprise: The Most Obvious Solution to Cultural Change||Predictive modeling student success can be quite complex, so too is fostering a scaling analytics adoption across the enterprise. Despite these complexities, there is one ostensibly obvious metric that is often overlooked. Learn more about this metric and how it has increased student success, aided analytics adoption, and enhanced faculty compliance for providing clean & reliable data.|
|Christopher Brandt||Policy Based Data Governance||Data Governance is not a one size fits all concept. It is much more like a tailored suit or dress. Every organization needs to get the right fit for their needs. Higher education is not the private sector. Can higher education develop a method or model that works for its complexities? Could the Policy Governance system developed by John Carver make a difference in the way we run data governance in higher education? Do you want to join the conversation?|