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The Effect of Moomin Stories as Teaching Materials for Transactional Analysis

Authors: Ikeda, Fumihito;

The Effect of Moomin Stories as Teaching Materials for Transactional Analysis

Abstract

Transactional Analysis (TA) is a theory of personality and a systematic psychotherapy for personal growth and personal change. Because TA can enhance students’ practical abilities of communication and career design, it should be learned as a liberal art. However, it is difficult to teach TA to every student, so I introduced the Moomin stories as teaching materials for TA because the stories are agreeable to everyone and the intention is shared with the goal of TA. TA has seven areas, so I constructed seven units of two lessons each, one for explaining each area and the other for analyzing the story using the area’s knowledge and skills. The effect was assessed via a questionnaire, and the results indicated that analyzing the stories was superior to analyzing oneself with regard to the following five points: easiness, objectivity, carefreeness, deep reflection and variety. However, I need to improve the point of correctiveness. In the future, the effects must be assessed statistically and a follow-up survey needs to be designed.

Country
Japan
Keywords

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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