How Should Examples be Learned in a Production Task? An Experimental Investigation in Mathematical Problem Posing

Kazuaki Kojima, Kazuhisa Miwa, Tatsunori Matsui

研究成果: Conference contribution

抄録

When using mathematics in problem solving in everyday life, problem solvers must recognize and formulate problems by themselves because structured problems are not provided. Therefore, it is an important task in general education to foster learner problem posing. Although learning by solving examples is adopted in general education, it may not be sufficiently effective in fostering learner problem posing because cognitive skills differ between problem solving and problem posing. This study experimentally investigated the effects of three learning activities in problem posing: learning by solving an example, learning by reproducing an example, and learning by evaluating an example. In our experiment, undergraduates were asked to pose their own new and unique problems from a base problem initially given after learning an example by solving, reproducing, or evaluating it. The results indicated that learning by reproducing the example was the most effective in fostering the composition of new problems.

本文言語English
ホスト出版物のタイトルProceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
出版社The Cognitive Science Society
ページ2501-2506
ページ数6
ISBN(電子版)9780991196708
出版ステータスPublished - 2014
イベント36th Annual Meeting of the Cognitive Science Society, CogSci 2014 - Quebec City, Canada
継続期間: 2014 7月 232014 7月 26

出版物シリーズ

名前Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014

Conference

Conference36th Annual Meeting of the Cognitive Science Society, CogSci 2014
国/地域Canada
CityQuebec City
Period14/7/2314/7/26

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 人間とコンピュータの相互作用
  • 認知神経科学

フィンガープリント

「How Should Examples be Learned in a Production Task? An Experimental Investigation in Mathematical Problem Posing」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル