Recorded October 2016
When data-driven video acquisition models were first introduced, video providers offered a slew of useful data to libraries about its usage. Metrics included number of playbacks, searches, hours of video consumed, and more.
Over time, additional measures of engagement provided even greater insight. How many video playlists were created? How many times was a piece of content shared on social media or embedded into a learning management system (LMS)?
As we look to the future, providers must offer measures of not just usage and engagement, but of impact. Did students learn? Did faculty improve the course experience? Cost per use and return on investment capture an important but incomplete story. Our mission is to develop meaningful measures of impact for faculty and students engaging with video in the learning and research process.
Join us for a look at the past, present, and future of video metrics, and get a sneak peek at what the future holds. You’ll discover:
Recorded April 2016
As a librarian, what should you know about each model separately and how should they work together to deliver maximum value to your patrons? We'll review the unique attributes of each model, including annual costs, relevant metrics, title selection, the user experience, perpetual ownership rights, and more.
We'll also share case studies of libraries using these models, and you'll discover how your peers are using them to:
Provide the broadest access to content
Use data in context to inform decision-making
Maintain some hands-on control while allowing for flexibility over the selection process
Recorded October 2015
We'll share specific case studies of libraries using each, and you'll discover how your peers are using demand-driven acquisition models to: