CIT Events

Learning Analytics Discussion Group

Are you teaching in Sakai or in a Coursera MOOC? Would you like to consider different ways to measure the engagement of your students and their experiences in your course? Gain insight on student learning, and inform instructional practices by harnessing the power of learning analytics! Learning analytics is an analytical approach focusing on evaluating data on students and their patterns of engagement with course material, instructional strategies, and online communities, to enhance the teaching and learning experience and to improve student success in your course. Learning analytics can be considered at a variety of levels, from the individual student, to the department, to the institution, depending on the questions you want answered and the data to which you have access.

Join CIT to explore learning analytics as a tool for developing your course or program. We invite faculty and academic staff to attend. For information, contact sophia.stone@duke.edu  

All sessions are from 2:00 - 3:00 p.m., in Bostock 024.

To help us gauge interest, please register if you plan to attend.

Registration Date Time Location Presenter(s)
Cancelled Tue 04/01/14 2:00 PM - 3:00 PM Bostock Library Room 024 (CIT Instructional Technology Lab) Staff, Center for Instructional Technology

URL for this event: http://library.duke.edu/events/cit/event.do?id=6605&occur=14595


Last generated November 1, 2014 2:59:13 AM EDT