1. English Theme 8 (Spring 2006) Time: Monday 13:00-14:30 Room: 7-106 Instructor: Mafuyu Kitahara Text: excerpts from Carver & Scheier (1998), On the Self-Regulation of Behavior, Cambridge Univ. Press.

2. Structure of the course Grouping: 4 groups, 8 students each Pairing: 4 pairs in each group Practice presentation in group Each pair summarizes 4-5 page section Other pairs evaluate the presentation The best pair should present in class A (pp.10-14) B (pp.10-14)C (pp.15-19) D (pp.15-19)

3. Basic Presentation Technic Slideshow Simple: 4 colors at most, no gimmick Graphical: use charts, tables, and diagrams Large fonts: at least 24 points >> less text Key words: No sentence, just key words Speech LOUDER!!!!, don't worry about grammar Action Eye-contact: don't read script, look up Gesture: pointing, asking, walking, dancing...

4. Contents of the whole book 1. Introduction and Plan (9pages)  today 2. Principles of Feedback Control (18pages) 3. Discrepancy-Reducing Feedback Processes in Behavior 4. Discrepancy-Enlarging Loops, and Three Further Issues 5. Goals and Behavior 6. Goals, Hierarchicality, and Behavior: Further Issues 7. Public and Private Aspects of the Self 8. Control Processes and Affect 9. Affect: Issues and Comparisons 10. Expectancies and Disengagement 11. Disengagement: Issues and Comparisons 12. Applications to Problems in Living 13. Hierearchicality and Problems in Living 14. Chaos and Dynamic Systems (23pages) 15. Catastrophe Theory (20pages) 16. Further Applications to Problems in Living (16pages) 17. Is Behavior Controlled or Does It Emerge? (28pages) 18. Goal Engagement, Life and Death

5. Behavioral self-regulation Motor control: physical Personality-social psychology: mental How and why behavior happens? Motivation? --- no help Mental goal representation and feedback control Behaviorists: S-R is everything Learning: not stamping in of tendencies Short-term: feedback loop

6. Dynamic Systems and Catastrophe theory Conceptual tool for psychological models Nonlinearity: Cusp: fold over curve LinearNonlinear