Classification of Students’ Interests in Science and Relation of Interests to Use of Deep-Processing Learning Strategies and Spontaneous Learning Behavior

  • TANAKA ETSUKO
    GRADUATE SCHOOL OF EDUCATION AND HUMAN DEVELOPMENT, NAGOYA UNIVERSITY

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  • 理科に対する興味の分類
  • 理科に対する興味の分類 : 意味理解方略と学習行動との関連に着目して
  • リカ ニ タイスル キョウミ ノ ブンルイ : イミ リカイ ホウリャク ト ガクシュウ コウドウ ト ノ カンレン ニ チャクモク シテ
  • —意味理解方略と学習行動との関連に着目して—

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  The purpose of the present study was to develop a scale to classify different kinds of interests in science, and to examine the features of those kinds of interests.  Students in grades 5-10 (N=1,998) completed questionnaires.  Exploratory factor analysis revealed 6 factors: experience-based interest (e.g., “because we can use various instruments”), amazement-based interest (e.g., “because there are times when I’m surprised by the results we get in experiments”), accomplishment-based interest (e.g., “because I feel happy when I solve the questions and problems we get in class”), knowledge acquisition-based interest (e.g., “because I can learn about various kinds of things”), thought deepening-based interest (e.g., “because I can make my own predictions”), and daily life-related interest (e.g., “because it is connected to our own lives”).  The results also showed that the means for the thought deepening-based and daily life-related interests were lower than those for the other kinds of interests, although the former kinds of interests were found to relate to the use of deep-processing learning strategies and spontaneous learning behavior.

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