Event Title
Location
CC 234
Start Date
1-8-2014 11:00 AM
End Date
1-8-2014 12:00 PM
Description
The rise of mobile learning has transformed the role of education where classroom space has evolved to open space. As a result, there is a rise in instructors’ adoption of and students’ use of Learning Management Systems (LMS) (such as Blackboard, eCollege, Desire2Learn, etc.), social networking sites (Facebook, LinkedIn, Twitter, etc.), and educational gaming programs. Student use of these systems allows for the accumulation of Big Data--rates of student participation and interaction in specific learning activities, time spent interacting with online resources, grades, and LMS login information and more. The analyses of these data, learning analytics, act as predictors for instructors and administrators based on patterns developed over time. Instructors/administrators then develop interventions for successful and at-risk students thus personalizing instruction. Our presentation will demonstrate how we use Blackboard’s internal analytics (evaluation tools such as Course Reports and Retention Center) to (1) identify students who are “at risk”, (2) monitor student performance throughout the course, and (3) measure if outcomes are met.
Aligning and analyzing your course data
CC 234
The rise of mobile learning has transformed the role of education where classroom space has evolved to open space. As a result, there is a rise in instructors’ adoption of and students’ use of Learning Management Systems (LMS) (such as Blackboard, eCollege, Desire2Learn, etc.), social networking sites (Facebook, LinkedIn, Twitter, etc.), and educational gaming programs. Student use of these systems allows for the accumulation of Big Data--rates of student participation and interaction in specific learning activities, time spent interacting with online resources, grades, and LMS login information and more. The analyses of these data, learning analytics, act as predictors for instructors and administrators based on patterns developed over time. Instructors/administrators then develop interventions for successful and at-risk students thus personalizing instruction. Our presentation will demonstrate how we use Blackboard’s internal analytics (evaluation tools such as Course Reports and Retention Center) to (1) identify students who are “at risk”, (2) monitor student performance throughout the course, and (3) measure if outcomes are met.