Recognition, reconstruction and fault identification problems in boolean concepts learning

Gabi Shafat, Ilya Levin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study focuses on the cognitive complexity of Boolean concepts and the ability of the complexity measure to predict students' difficulties in problem solving. The study focused on three different measures of cognitive complexity. Based on these complexity measures, difficulties in solving problems were examined, such as recognition, reconstruction, and faults identification in digital systems. The relationship between a symmetry property of a Boolean concept and the different complexity measures presented.

Original languageEnglish
Title of host publication10th European Workshop on Microelectronics Education, EWME 2014
PublisherIEEE Computer Society
Pages155-160
Number of pages6
ISBN (Print)9781479940165
DOIs
StatePublished - 2014
Event10th European Workshop on Microelectronics Education, EWME 2014 - Tallinn, Estonia
Duration: 14 May 201416 May 2014

Publication series

Name10th European Workshop on Microelectronics Education, EWME 2014

Conference

Conference10th European Workshop on Microelectronics Education, EWME 2014
Country/TerritoryEstonia
CityTallinn
Period14/05/1416/05/14

Keywords

  • Boolean Concepts
  • Digital systems
  • Faults
  • Recognition
  • Reconstruction

Fingerprint

Dive into the research topics of 'Recognition, reconstruction and fault identification problems in boolean concepts learning'. Together they form a unique fingerprint.

Cite this