Misleading intuition in algorithmic problem solving

D. Ginat*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations


This paper presents a study of misleading intuition in the domain of algorithmic problem solving. I noticed incorrect intuitive solutions to challenging algorithmic problems and interviewed students on their solutions. The students arrived at an erroneous conviction rather rapidly and demonstrated overconfidence and reinforcement of their incorrect ideas when presented with new evidence. I present two colorful and unfamiliar algorithmic challenges posed to the students, describe and discuss my experience, and offer some suggestions for reducing the effect of misleading intuition.

Original languageEnglish
Pages (from-to)21-25
Number of pages5
JournalSIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)
StatePublished - 2001
Event32nd SIGCSE Technical Symposium on Computer Science Education - Charlotte, NC, United States
Duration: 21 Feb 200125 Feb 2001


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