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The Preference Matrix As A Course Design Tool

The Preference Matrix As A Course Design Tool. John Paxton Montana State University Universit ät Leipzig Koli Calling Saturday, November 11, 2006. Outline. Introduction Application Evaluation Discussion. I. Introduction. Preference Matrix.

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The Preference Matrix As A Course Design Tool

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  1. The Preference Matrix As A Course Design Tool John Paxton Montana State University Universität Leipzig Koli Calling Saturday, November 11, 2006

  2. Outline • Introduction • Application • Evaluation • Discussion

  3. I. Introduction

  4. Preference Matrix • Developed by Stephen and Rachel Kaplan at The University of Michigan • Based on evolutionary psychology • Each individual must build a cognitive map in order to survive • A cognitive map allows recognition, prediction and evaluation

  5. Familiarity Matrix

  6. Preference Matrix

  7. II. Application

  8. Preference Matrix Pedagogy • Connect new knowledge to existing knowledge  “makes sense” • Don’t overwhelm short-term memory  “makes sense” • Material should engage learner  “involvement” • Background of learner must be roughly understood  “involvement”

  9. CS 436 • A senior level course that introduces artificial intelligence • Making sense: clear objectives, clear syllabus, all graded work is related to the objectives, clear presentation • Involvement: engaging assignments, classroom participation

  10. III. Evaluation

  11. Evaluation • Fall 2004 – Spring 2006 • Senior level computer science courses at Montana State University • 2 offerings of CS 436 (33 students) • 17 other offerings (225 students)

  12. Evaluation • How does this course compare with similar technical courses? • What is your level of interest in taking an advanced course? • Did you find this course challenging? • Were the objectives of the course clearly stated?

  13. Evaluation • Were the objectives of the course met? • How important were the lectures? • How important were the assignments/programs? • How important were the tests/quizzes?

  14. Evaluation

  15. Evaluation

  16. IV. Discussion • What are appropriate research methodologies for measuring the impact of the preference matrix in a convincing manner?

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