DocumentCode
236143
Title
Model-driven processes and tools to design GLO for CS education
Author
Burbaite, Renata ; Bespalova, Kristina
Author_Institution
Fac. of Inf., Kaunas Univ. of Technol., Kaunas, Lithuania
fYear
2014
fDate
12-14 Nov. 2014
Firstpage
139
Lastpage
144
Abstract
The paper introduces processes and tools to design generative learning objects (GLO) through feature model (FM) transformations for CS education. In the first stage, to represent the variability of CS education, we apply feature-based modelling using FAMILIAR and SPLOT tools. In the next stages we present processes and newly developed tools to design GLO through high-level transformations. Case study demonstrates our methodology in ARDUINO-based e-learning environment.
Keywords
computer aided instruction; computer science education; software tools; ARDUINO-based e-learning environment; CS Education; FAMILIAR tool; GLO design; SPLOT tool; feature model transformations; feature-based modelling; generative learning objects design; model-driven process; model-driven tool; Computational modeling; Context; Context modeling; Data models; Electronic learning; Frequency modulation; feature models; generative learning objects; model transformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Education (SIIE), 2014 International Symposium on
Conference_Location
Logrono
Type
conf
DOI
10.1109/SIIE.2014.7017719
Filename
7017719
Link To Document