Self-Generated Figures in Sequence Processing

Research output: Contribution to journalConference articlepeer-review

Abstract

A figure may convey an idea, an argument and even a proof, sometimes better than words. It may also elicit an idea, an argument and a proof. In problem solving, a figure may give a “feel” of a problem. A self-generated figure may help getting insight, or serve as a means for representing one's inner associations, or mental model of the problem. This paper presents self-generated figures in algorithmic problem solving. Students of our IOI advanced stage demonstrated constructive utilization of self-generated figures in solving challenging sequence processing tasks. The figures elicited associations of hidden patterns, whose recognition yielded elegant and efficient algorithmic solutions. We advocate the application and examination of self-generated figures in algorithmic problem solving.

Original languageEnglish
Pages (from-to)13-21
Number of pages9
JournalOlympiads in informatics
Volume15
DOIs
StatePublished - 2021
EventInternational Conference Joint with the 33rd International Olympiad in Informatics, IOI 2021 - Virtual, Online, Singapore
Duration: 19 Jun 202125 Jun 2021

Keywords

  • algorithmic problem solving
  • figure drawing

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Software
  • Computer Science Applications

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