Course Evaluations at BYU-Idaho © 2008 Brigham Young University–Idaho 1 Primary Objectives of Course Evaluation 1. Assess course quality and teaching performance. 2. Assist in teacher improvement. 3. Give students an opportunity to provide input 4. Satisfy accreditation requirements © 2008 Brigham Young University–Idaho 2 The Numbers Classes Evaluated Instructors Evaluated Evaluations Administered © 2008 Brigham Young University–Idaho F09 W10 S10 1,514 1,406 1,264 494 509 485 44,794 43,035 39,996 3 Completion Rates © 2008 Brigham Young University–Idaho 4 Completion Rates College F09 W10 S10 Agricultural & Life Sciences 65% 64% 62% Business & Communication 69% 69% 67% Education & Human Development 72% 68% 69% Language & Letters 64% 66% 66% Performing & Visual Arts 53% 53% 52% Physical Sci & Engineeering 76% 78% 76% Grand Total 66% 68% 68% © 2008 Brigham Young University–Idaho 5 The Overall Instructor Rating © 2008 Brigham Young University–Idaho 6 How Does the Administration Use The Data? • We aggregate and track . . . • • • • • • • Overall instructor rating Overall course rating Perceived learning Hours of preparation Satisfaction Learning model scales We use the overall instructor rating to . . . • • • • Support CFS decisions Compare classifications (online, adjunct, veteran, 1-year) Watch trend Red flag instructors at or below 10%tile © 2008 Brigham Young University–Idaho 7 What the Research Shows – Non-factors Time of Day Instructor Traits • Student traits Age • Academic aptitude • GPA • Class level • Personality • © 2008 Brigham Young University–Idaho • Age Years of teaching experience 8 What the Research Shows - Factors Class Size Smaller classes tend to receive higher ratings. Reason for Taking Course Elective courses receive higher ratings than required courses. Expected Grade Positive but low. © 2008 Brigham Young University–Idaho Discipline The highest ratings go in the following order to: 1. 2. 3. 4. Arts & Humanities Biological & Social Sciences Business & Computer Science Math, Engineering, & Physical Sciences 9 What the Research Shows - Factors Difficulty Level Courses that are more difficult or have greater workloads received higher ratings. Motivation Prior interest in subject matter or class leads to higher ratings. Student Major Course Level Upper division receive higher ratings than lower division. © 2008 Brigham Young University–Idaho Majors are a bit more positive. 10 What the Research Shows - Factors Instructor Gender Same-gender instructors receive slightly higher ratings. Instructor Personality Knowledgeable, warm, outgoing, and enthusiastic teachers receive higher ratings. © 2008 Brigham Young University–Idaho Scholarship Teachers with more publications receive slightly higher ratings. Timing Administration during final exams are lower. PR Framing re promotion & tenure gets slightly higher ratings. 11 DO THESE FINDINGS HOLD FOR BYU-IDAHO? © 2008 Brigham Young University–Idaho 12 Findings From 2009 – 2010 Data © 2008 Brigham Young University–Idaho 13 Findings From 2009 – 2010 Data © 2008 Brigham Young University–Idaho 14 Findings From 2009 – 2010 Data © 2008 Brigham Young University–Idaho 15 Findings From 2009 – 2010 Data © 2008 Brigham Young University–Idaho 16 Findings From 2009 – 2010 Data Ag & LS PS & Eng © 2008 Brigham Young University–Idaho Bus & Comm Ed & HD 17 Findings From 2009 – 2010 Data Gender of Student Gender of Instructor Female Male Female 5.85 5.69 Male 5.82 5.89 Overall 5.83 5.86 © 2008 Brigham Young University–Idaho 18 Findings From 2009 – 2010 Data © 2008 Brigham Young University–Idaho 19 Findings From 2009 – 2010 Data © 2008 Brigham Young University–Idaho 20 Dreams for the Future • • Supplement with direct measures of learning Adjust the composite measures for • • • • • • • • Discipline Gender Reason for taking class Grade Expected Rework the Learning Model scores Better reports Shorten the instrument Develop some information for students © 2008 Brigham Young University–Idaho 21 Discussion Items • • • • • • • • Are we asking the right questions? Are we asking too many questions? Should we evaluate every course every semester? Is the timing of the evaluation optimal? How do you use course evaluation data (numbers and comments)? Is the information valuable? Are the reports adequate? Should some of the course evaluation data be made available to students to counter biased information on the web? © 2008 Brigham Young University–Idaho 22 © 2008 Brigham Young University–Idaho © 2008 Brigham Young University–Idaho Raw vs Weighted Averages • 85% see little or no difference (-.1, 0, .1) = 85% • 76 get a better rating; 21 get a worse rating • 2 get a significantly worse rating © 2008 Brigham Young University–Idaho 24