Paper Info
Title
Generative Learning Object (GLO) Specialization: Teacher's and Learner's View.
Abstract
The paper introduces the stage-based specialization of the initial reusable GLOs treated as meta-programs. The aim is to support pre-programmed user-guided adaptation of the Computer Science (CS) teaching content within the educational robot environment. Specialization of GLOs by staging enables to flexibly (automatically) prepare the content at a higher level for the different contexts of use. We describe the approach along with the case study from the user's perspective taking into account the specializer tool we have developed. The contribution of the paper is the staged specialization for the pre-programmed adaptation of the learning content.
Year
DOI
Venue
2014
10.1007/978-3-319-11958-8_23
Communications in Computer and Information Science
Keywords
Field
DocType
Meta-program-based GLO,LO adaptation through specialization,GLO specialization through staging,robot-based CS teaching
Perspective-taking,Computer science,Robot,Multimedia,Generative model
Conference
Volume
ISSN
Citations 
465
1865-0929
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Vytautas Stuikys110217.07
Kristina Bespalova242.43
Renata Burbaite3123.98