Wednesday, May 20, 2015 from 12 pm – 1 pm Eastern Time
This webinar will focus on data sharing and privacy issues related to the Cyberlearning research community. Ken Koedinger is a professor of Human Computer Interaction and Psychology at Carnegie Mellon University. He is also is a co-founder of Carnegie Learning, Inc. and leads LearnLab, the Pittsburgh Science of Learning Center. The center leverages computational approaches to identify the instructional conditions that cause robust student learning.
Dr. Koedinger’s multidisciplinary background supports his research goals of understanding human learning and creating educational technologies that increase student achievement. Dr. Koedinger has created Cognitive Models, computer simulations of student thinking and learning that are used to guide the design of educational materials, practices, and technologies. These Cognitive Models provide the basis for an approach to educational technology called Cognitive Tutors that support learning within rich problem-solving environments. With his colleagues, he has developed Cognitive Tutors for mathematics, science, and language and has tested them in the laboratory and as part of real courses. Dr. Koedinger’s research has contributed new principles and techniques for the design of educational software and has produced basic cognitive science research results on the nature of mathematical thinking and learning.
Technology-Enhanced Learning: Best Practices and Data Sharing in Higher Education. Draft White Paper. Global Learning Council, April 2015.
Chui, M., & Sarakatsannis, J. (2015). Protecting student data in a digital world. An article by McKinsey & Company about how proponents of data-enabled education can learn from other industries that have faced concerns about the risks of using personal information.
Koedinger, K. (2015, May 20). Cyberlearning Data Sharing and Privacy [Webinar]. In CIRCL Webinar Series. Retrieved from http://circlcenter.org/events/cyberlearning-data-sharing-and-privacy-webinar/