Partners

Description

The University System of Georgia’s (USG) research goal is to improve student performance in introductory statistics courses by timing delivery of mindset interventions to the affective state of the learner. The project partners will build and test affect/engagement detectors for Georgia State University (GSU) students working in Stanford University’s Open Learning Initiative (OLI) statistics courseware and use the affect/engagement detectors to time the delivery of mindset interventions. The courses take place utilizing the Emporium Model in the Mathematics Interactive Learning Environment (MILE). Trained coders will observe students to help develop the detectors, which will be tested and evaluated.

Update

July 2016 – The basic OLI Probability and Statistics course was modified by Stanford’s team and delivered to the GSU campus participants via OPENedX (hosted at Stanford). The GSU participants are now working on individual edits which include updating Excel Statistics Package Exercise Instructions from the 2007 version to a current version. GSU is also adding more “numeric input” exercises that fit the needs of the GSU Perimeter and Atlanta campuses. On GSU’s Atlanta campus, graduate students have been hired to help with the Excel edits and to help add “algorithmic” numeric input questions. They, along with the Atlanta faculty, are working to try and get this completed as soon as possible. Stanford’s team was able to provide updates for the TI-84 Plus calculator instructions for the Statistics Package Exercises for the faculty on the GSU Perimeter campus. They are working to individualize their course, but will deliver additional problems as handouts which will be graded “by-hand”. The IRB is still in progress.

April 2016 – USG has identified participants and are finalizing IRB. OLI materials are currently being modified for GSU. Student observations will run Summer and Fall 2016, with concurrent development of detectors and interventions. Adapted OLI courseware with timed interventions will go live Spring 2017.