The methods applied in the matrix for course assessment activities rely on the ability to systematically organize and connect the course objectives and outcomes with the proper level from Bloom's taxonomy, which determines a hierarchy of students' understanding. In addition, the matrix requires the designer to collect analytical data focusing on assessment methods, technology employment, content delivery method, and expected student learning styles prior to the course offering. The data collected supports the evaluation activities of the course by comparing the various matrix requirements with the results of the instruction.

The evaluation approaches are determined during each activity and collected in the matrix for end-of-the-semester evaluation. The spreadsheet format of the matrix provides the designer with a tool for statistically manipulating the data collected. The course data collected in the results column of the assessment matrix maps the instructor's success facilitating each activity. Pre-test and post-test data collected in a set of knowledge surveys are analyzed to determine student success with each activity as it relates to students' initial knowledge and acquired knowledge. The assessment matrix provides the designer with a tool for course evaluation based on student knowledge, instructor facilitation, activity selection, and technology integration. This presentation will provide the participants with an instrument and best practice to begin assessing WebCT course offerings.