Project RITE
Recipients
Testing the Efficacy of DAWG, a Suite of Online Active-Learning Modules
for Enhancing Student Learning of Statistical Analysis
launch blog |
Arnold Saxton
Professor, Animal Sciences, UT KnoxvilleRobert Auge
Professor, Plant Sciences, UT KnoxvilleJohn Cummins
Research Associate, Plant Sciences, UT KnoxvilleOverview
The Stats Design & Analysis Web Guide (DAWG) was initiated in 2004 based in part on a Teaching With Technology award from UT's Innovative Technology Center. DAWG will be a series of online active-learning modules to supplement graduate level statistics courses. Its objectives are to guide users in selecting appropriate statistical designs and in using the SAS statistical package to correctly analyze experimental data using particular designs. Work has been ongoing over the past two years, and the first design module, Completely Randomized Design, Single Factor (CRD), has been completed and tested here at UT in a limited way. Accessory modules have also been developed, including ANOVA Diagnostics, Using SAS and an introduction. Before creating the other 400+ planned design modules, we now need to widely beta-test the CRD.We have received positive feedback for the modules designed to date. We have invited some graduate students and faculty to try the CRD module and provide comments and based on their input have tweaked the format several times. We now need to take the evaluation process to the next level and formally have it tested by actual teachers and students of agricultural and biological statistics from around the country.