Abstract :
The Mercer University School of Engineering (MUSE), USA, identified eight outcomes to assess for the accreditation process. MUSE Outcome #4 stipulates that students should be able to design and conduct experiments and analyze data. The committee charged with assessment of Outcome #4 identified four separate skills associated with this outcome; conducting experiments, analyzing experimental data, interpreting experimental data and designing experiments. The committee determined that assessment of this outcome required documentation of the number of student experiences with each of the four skills and the overall student performance level on each of these skills. A skill assessment worksheet was developed for use in the grading of any activity related to Outcome activity incorporates as well as the performance of the students on each of the individual skills. This worksheet was distributed to instructors teaching courses that contain a significant content related to this outcome. Data collected from courses in Industrial Engineering, Biomedical Engineering, and Electrical Engineering taught during the Fall of Semester of 2000 suggests that MUSE has been successful at meeting Outcome #4. The data also indicates that the skill assessment worksheet was an efficient and accurate method for collecting quantitative data and identifying weakness in the assessment process. Modifications made to the worksheet by professors to accommodate their personal grading scheme demonstrates that the tool has enough flexibility to be used across multiple disciplines and grading styles while still providing the data required,for assessment of Outcome #4. This paper presents the skill assessment worksheet, data collected using the worksheet, and instructor comments on use of the worksheet
Keywords :
accreditation; educational courses; engineering education; quality control; teaching; ABET 2000; USA; accreditation process; competency measurement; engineering education courses; skill assessment worksheet; student experiences; Accreditation; Biomedical engineering; Biomedical measurements; Data analysis; Data engineering; Design engineering; Documentation; Education; Educational institutions; Industrial engineering;