Generative Learning Object Assessment Items for a Set of Computer Science Disciplines

Ciprian-Bogdan Chirila

University Politehnica of Timisoara, Romania,
Faculty of Automation and Computer Science
E-mail: chirila(at)cs.upt.ro

Abstract

Learning objects with static content are good for learning and practice but not very recommended for assessment. The main problem is with content repetition which: enables mechanical answer memorization by the student and replication of answers from class neighbors which is considered as an examination fraud. Generative learning objects (GLO) is an evolved concept of learning objects based on reusing the learning patterns. Enhancing GLOs with dynamic content could increase their reusability even more.

Keywords

blended learning, generative learning objects, generative techniques

BibTex

@InProceedings{Chirila2014SOFA,
	author			=		{Ciprian-Bogdan Chirila},
	title			=		{Generative Learning Object Assessment Items for a Set of Computer Science Disciplines},
	booktitle		=		{SOFA 2014 6-th International Workshop on Soft Computing Applications - Advances in Intelligent and Soft Computing},
	pages			=		{000--000},
	%editor			=		{},
	organization	=		{},
	publisher		=		{Springer},
	issn			=		{1867-5662},
	address			=		{Timi\c{s}oara, Romania},
	month			=		{July},
	year			=		{2014},
	day				=		{24--26}
}

Text

[Chirila2014SOFA] - Ciprian-Bogdan Chirila. Generative Learning Object Assessment Items for a Set of Computer Science Disciplines, SOFA 2014 6-th International Workshop on Soft Computing Applications - Advances in Intelligent and Soft Computing, pp. 000--000, Springer Verlag, ISSN 1867-5662, Timisoara, Romania, July, 2014

Data fields

[Chirila2014SOFA] - 
Ciprian-Bogdan Chirila.
Generative Learning Object Assessment Items for a Set of Computer Science Disciplines,
SOFA 2014 6-th International Workshop on Soft Computing Applications - Advances in Intelligent and Soft Computing,
pp. 000--000,
Springer Verlag,
ISSN 1867-5662,
Timisoara, Romania,
July,
2014