Are you interested in the potential to predict and promote student achievement in your course? Would you like to consider different ways to measure the engagement of your students and their experiences in your course? “Learning analytics” is an analytical approach which focuses on evaluating data about students and their patterns of engagement with your course, your instructional strategies, and your materials, to enhance the teaching and learning experience and improve student success in your course or program. 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 the power of learning analytics as a tool for developing your course or program. We’ll look at examples, read and discuss publications about learning analytics, and consider which data are available here to help us improve the Duke student and faculty experience. We’re exploring these issues in an informal Learning Analytics reading and discussion group, and we invite faculty and academic staff to attend and learn with us.

First session: Tuesday Sept. 10, 2013, 2-3 pm in Bostock 024.
To help us gauge interest, please register if you plan to attend.

At the first session, the group will decide how often to meet during the Fall semester, and will decide how to focus its approach. Future dates will be posted after these decisions are made.

Light refreshments will be provided.

Amy Kenyon

Amy plans, implements and assesses faculty development programs for the improvement of teaching and learning, provides programs and resources designed to increase understanding of the teaching-learning process and manages personnel and other resources for the Center for Instructional Technology. Her interests are in course and program design, curriculum mapping, assessment, engaging teaching strategies for student learning, and e-textbooks, e-readers and open learning materials.

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One Response to Learning Analytics discussion group

  1. Mat says:

    Sounds good, Im wondering how this “learning analytics” can work and what should expect from it