Active Learning with Upper Division Computer Science Students

Active Learning with Upper Division Computer Science Students Brenda Timmerman Robert Lingard G. Michael Barnes California State University, Northridge 11/22/2020 1

Overview l Characteristics of Computer Science Students l Experiments in Active Learning l Assessment of Results l Conclusions 11/22/2020 2

Myers-Briggs Personality Test Results 11/22/2020 3

Myers-Briggs Personality Test Results (Continued) 11/22/2020 4

Myers-Briggs Analysis 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 l 11/22/2020 5

The Kolbe ® Concept 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 l 11/22/2020 6

The Kolbe Instinctive Talents l Fact Finder l Follow Thru l Quick Start l Implementor 11/22/2020 7

Sample “Kolbe” Results 11/22/2020 8

Kolbe Profile of Software Engineering Students 11/22/2020 9

Kolbe Analysis 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 l 11/22/2020 10

Used in Societal Issues in Computing l Think-Pair-Share l Group Presentations l Debates 11/22/2020 11