DocumentCode :
1783501
Title :
Recognition, reconstruction and fault identification problems in boolean concepts learning
Author :
Shafat, Gabi ; Levin, Ines
Author_Institution :
Afeka Tel Aviv Acad. Coll. of Eng., Tel Aviv, Israel
fYear :
2014
fDate :
14-16 May 2014
Firstpage :
155
Lastpage :
160
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.
Keywords :
Boolean functions; cognition; computer science education; digital systems; electronic engineering education; fault diagnosis; problem solving; software engineering; Boolean concept learning; cognitive complexity; digital systems; fault identification problems; problem solving; recognition problems; reconstruction problems; student difficulty prediction; Companies; Boolean Concepts; Digital systems; Faults; Recognition; Reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microelectronics Education (EWME), 10th European Workshop on
Conference_Location :
Tallinn
Type :
conf
DOI :
10.1109/EWME.2014.6877417
Filename :
6877417
Link To Document :
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