1. 6/26/20151 Active Learning with Upper Division Computer Science Students Brenda Timmerman Robert Lingard G. Michael Barnes California State University, Northridge

2. 6/26/20152 Overview l Characteristics of Computer Science Students l Experiments in Active Learning l Assessment of Results l Conclusions

3. 6/26/20153 Myers-Briggs Personality Test Results

4. 6/26/20154 Myers-Briggs Personality Test Results (Continued)

5. 6/26/20155 Myers-Briggs Analysis l A Computer Science Major is an ISTJ Type l Takes Energy from Inner Thoughts l Likes to Deal with Facts l Considers Various Options in Making Decisions l Is Quiet, Serious, and Likes to be Prepared for What May Happen

6. 6/26/20156 The Kolbe Concept ® l Measures Conation - a Person’s Inherent Talent or Natural Way of Doing Things l Predicts What a Person Will or Will not do, Given the Freedom to Act l Measures the Way a Person Acts While Trying to Achieve a Goal

7. 6/26/20157 The Kolbe Instinctive Talents l Fact Finder l Follow Thru l Quick Start l Implementor

8. 6/26/20158 Sample “Kolbe” Results

9. 6/26/20159 Kolbe Profile of Software Engineering Students

10. 6/26/201510 Kolbe Analysis l Computer Science Majors are Fact Finder/Follow Thru Kolbe Types l Avoids Discussing Issues without Being Prepared l Prefers to Explain with Charts instead of Words l Impromptu Discussions Create Stress

11. 6/26/201511 Active Learning Techniques Used in Societal Issues in Computing l Think-Pair-Share l Group Presentations l Debates