This paper is from Session 9D: E-learning, E-teaching and E-assessment in fully online, blended and open virtual web-based courses

which comes under Topic 9: Technology in statistics education

Using Carnegie Mellon’s Open Learning Initiative (OLI) to support the teaching of introductory statistics: experiences, assessments and lesson learned

Presenter

• Oded Meyer (Georgetown University, United States)

Co-author

• Marsha Lovette (Carnegie Mellon University, United States)

Abstract

As part of the Open Learning Initiative (OLI) project, Carnegie Mellon University was funded to develop a web-based introductory statistics course, designed to support students to effectively learn Statistics without an instructor. Numerous carefully designed studies have shown, however, that the course is most effective when used in a hybrid instructional model, i.e., face-to-face teaching plus online learning. We discuss the design features that make the OLI Statistics course “work,” present the most current assessment results, and describe different ways in which instructors have used the OLI materials to support their Statistics courses. In addition, we discuss how the OLI platform can be used by instructors to create their own materials.