Diving into the Deep End of Learning Analytics – Are You Ready?
Concurrent Session 1
Is your institution on the brink of using learning analytics to inform data-driven decisions? Or are you on the fence about the potential of analytics? Come hear the story of one institution’s journey through analytics implementation, which will include lessons learned and helpful tips. Participants will leave with ideas they can incorporate in their own analytics projects
With the intent to improve quality of online courses and inform instructional design decisions, the University of Missouri in Kansas City (UMKC) dove head-first into learning analytics with the purchase of Blackboard Analytics for Learn. This analytics tool merges extensive data from the university's learning management system (LMS) with course attributes from the student information system (SIS) to offer self-service reporting options, dashboards, and trend analyses to gain insight into user activity, student performance, and course design. UMKC initiated the implementation process for Blackboard Analytics in the summer of 2015, and for the past year, the university has navigated the waters of system integration, data validation, and fostering the idea of using learning analytics data to improve teaching and learning through workshops and training.
This presentation will reveal the trials and tribulations experienced during this software deployment with recommendations to consider when incorporating a learning analytics tool at your institution. Tips include: 1) Record all training provided by the vendor, 2) Include all team members in all of the phases of implementation, 3) Allow enough time for data validation, 4) Create a ticketing system for the data validation process, and 5) Have a clear picture of what you want to do with the data before you begin data validation.
After months of data validation and many lessons learned, UMKC is now ready to shift focus to how analytics will be used as a tool to improve instructional design of online courses. While it has not been an easy process, the extensive evaluation of the data provides confidence in the power of the tool to promote positive change.
At the end of this session, participants will be able to:
- Identify important phases in the analytics implementation process
- Integrate tips and recommendations into their own analytics projects
- Better articulate their institution’s roadmap for learning analytics