In partnership with University of Maryland Baltimore County and VitalSource, researchers from Blackboard used the IMS Caliper Analytics standard to combine student activity stream data from Blackboard Learn and VitalSource to see if it would improve predictions about student achievement.
Helpful guides to help you and your campus to extract more value from your data
Accelerating Analytics Adoption: 18 Proven Tactics That Encourage Campus Professionals to Adopt Analytics Technology
This Education Dive playbook outlines 18 ways higher education leaders can encourage key stakeholders across their campuses — real and virtual — to adopt analytics technology. These tips fall into three key strategic categories: Communication, User Experience and Deployment.
There are both pedagogical and logistical advantages to developing predictive models of student course achievement that make exclusive use of data from the learning management system (LMS). Learn more about what it takes to create a successful model and how certain best practices that are necessary for supporting predictive modelling using LMS data also benefit students in other ways.
Ensuring Student Success in the 21st Century: Through Scalable Practices for Identification & Intervention
Even with the dedication of resources and funding to student success, many students are still left behind. Why are so many students still not achieving optimal levels of success? Download this report to better understand these challenges and gain new insights into student success from years of Blackboard research.
Today, nearly all higher education institutions are interested in data analytics and its potential to: attract students that are the best fit for their campus, provide more practical and meaningful student experiences and optimize institutional spending. In this ebook, we offer 10 examples of high impact practices that involve the use of data to increase student success and improve institutional performance.
Many college and university leaders are using data analysis and visualization to question the status quo and develop effective solutions. Achieving these insights and information requires not a single report from a single system, but rather the ability to access, share and explore institution-wide data that can be transformed into meaningful insights at every level of the institution.
This paper describes a collaboration between Blackboard and Kaltura to integrate and capture learning analytics. The information provided will be useful for the Higher Education and K-12 communities, in both technical and non-technical roles, who are interested in plug-and-play interoperability and enterprise-wide educational analytics.
The institutions that are most successful with analytics and data warehousing adopt their solution with specific goals in mind, and start by clearly identifying the problems they hope to solve.
Learning Analytics identifies how learners interact with course materials, learning activities, and one another. Having information on these interactions can help educators develop a more accurate and timely understanding of which learners may be at risk of failing a course.
In a recent study of anonymized data from 70,00 courses from 927 institutions, researchers from Blackboard have discovered five instructional design patterns used by instructors to create meaningful educational experiences.
Blackboard collaborated on a research study with Dr. Stephanie Teasley, Research Professor at the School of Information at the University of Michigan and Director of the Learning, Education and Design Lab to investigate how students perceive performance dashboards generated by Learning Management Systems used for coursework conducted in the context of higher education.
Advising + Data = Student Success. Bringing comprehensive data into the advising picture can make a sizable difference in a student's outcome. Through the strategic use of data, students can now be identified before there is a crisis occurring along their student pathway to success. This is the future of advising in higher education. Get our new playbook and learn more.
In this study, we analyzed clickstream data from student activity in the Ultra experience of Blackboard Learn with 22,227 notifications sent to 3,679 students in Spring 2017. Read about it here.