Cognitive Correlates of Performance in Algorithms in a Computer Science Course for High School
PROCEEDINGS
Aimee Theresa Avanceña, Akinori Nishihara, Tokyo Institute of Technology, Japan
Society for Information Technology & Teacher Education International Conference, in Austin, Texas, USA ISBN 978-1-880094-92-1 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
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. High school students who are mostly novice programmers need to learn not only programming but also algorithmic thinking. Thus, there is a need to determine the necessary cognitive factors that can aid in devising strategies for effective learning of computing fundamentals. This ongoing research aims to verify among students of a science and technology high school in Japan the correlations between certain known cognitive factors and actual performance in learning algorithms
Citation
Avanceña, A.T. & Nishihara, A. (2012). Cognitive Correlates of Performance in Algorithms in a Computer Science Course for High School. In P. Resta (Ed.), Proceedings of SITE 2012--Society for Information Technology & Teacher Education International Conference (pp. 8-13). Austin, Texas, USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 28, 2024 from https://www.learntechlib.org/primary/p/39532/.