Students' Misconceptions of Optimization Algorithms

Author:

Velázquez-Iturbide J. Ángel1

Affiliation:

1. Universidad Rey Juan Carlos, Madrid, Spain

Funder

Ministerio de Economía y Competitividad

Comunidad de Madrid

Publisher

ACM

Reference25 articles.

1. Constructivism in computer science education;Ben-Ari M.;Journal of Computers in Mathematics and Science Teaching,2001

2. Clancy M. 2004. Misconceptions and attitudes that interfere with learning to program. In Computer Science Education Research S. Fincher and M. Petre Eds. Routledge London UK 85--100. Clancy M. 2004. Misconceptions and attitudes that interfere with learning to program. In Computer Science Education Research S. Fincher and M. Petre Eds. Routledge London UK 85--100.

3. Cormen T. H. Leiserson C. E. Rivest R. L. and Stein C. 2009. Introduction to Algorithms 3rd ed. MIT Press Cambridge MA. Cormen T. H. Leiserson C. E. Rivest R. L. and Stein C. 2009. Introduction to Algorithms 3rd ed. MIT Press Cambridge MA.

4. Detecting and understanding students' misconceptions related to algorithms and data structures

5. Iteratively Intervening with the “Most Difficult” Topics of an Algorithms and Complexity Course

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