Avoiding object misconceptions
SIGCSE '97 Proceedings of the twenty-eighth SIGCSE technical symposium on Computer science education
SIGCSE '99 The proceedings of the thirtieth SIGCSE technical symposium on Computer science education
The efficiency of algorithms: misconceptions
Computers & Education
Java(TM) Programming Language, The (4th Edition)
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Proceedings of the 39th SIGCSE technical symposium on Computer science education
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Proceedings of the 39th SIGCSE technical symposium on Computer science education
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Proceedings of the 41st ACM technical symposium on Computer science education
Detecting and understanding students' misconceptions related to algorithms and data structures
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Misconceptions and concept inventory questions for binary search trees and hash tables
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We present the result of assessing first-year students' misconceptions related to algorithms and data structures. Our study confirms findings from previous small-scale studies but additionally broadens the scope of the topics and methods investigated. The evaluation of our experiments sheds light on dependencies between active and passive knowledge as well as on the instruments used; in particular, we conclude that there is no "one size fits all" instrument but that instruments should be selected depending on the topic at hand.