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タイトル
和文: 
英文:Cognitive Correlates of Performance in Algorithms in a Computer Science Course for High School (JCMST) 
著者
和文: アバンセニアエイミー テレッサ スワン, 西原明法.  
英文: Aimee Theresa S Avancena, AKINORI NISHIHARA.  
言語 English 
掲載誌/書名
和文: 
英文:Journal of Computers in Mathematics and Science Teaching 
巻, 号, ページ Vol. 33    No. 2    pp. 137-155
出版年月 2014年4月 
出版者
和文: 
英文:Association for the Advancement of Computing in Education (AACE), Chesapeake, VA 
会議名称
和文: 
英文: 
開催地
和文: 
英文:Austin, Texas 
公式リンク http://www.editlib.org/p/41337/
 
アブストラクト Computer science for high school faces many challenging issues. One of these is whether the students possess the appropriate cognitive ability for learning the fundamentals of computer science. Online tests were created based on known cognitive factors and fundamental algorithms and were implemented among the second grade students in the Information Systems course track at TokyoTech High School of Science and Technology. The online test results were evaluated together with the results of the students’ midterm exam on algorithms. The findings of this study may be used in devising strategies for effective learning of computing fundamentals. The correlated cognitive factors may be the bases for designing a course outline and problem exercises for introductory computer science. The correlated algorithms may be incorporated in an assessment test for students who plan to pursue computing-related field.

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