Paper Info
Title
Two-Stage Generative Learning Objects.
Abstract
Generative Learning Objects (GLOs) introduced by Boyle et al. in 2004 extend the reuse dimension and create conditions for better quality in learning and teaching. We motivate the benefits of GLOs for e-learning and extend the scope of understanding GLOs by introducing the concept of the two-stage GLOs (TS GLOs). The aim of the paper is to show how this new kind of GLOs can contribute to the advanced e-learning through e-learning variability (social context, content variants, e-learning environment characteristics, etc.) modelling. GLOs and TS GLOs are seen as tools to further enhance reuse, to ensure a great deal of flexibility for teachers, and to manage complexity in the LO domain. Our case study has also showed the benefit for students in using the approach for self-learning by selecting different tasks or variants with respect to students flavour or abilities.
Year
DOI
Venue
2012
10.1007/978-3-642-33308-8_28
Communications in Computer and Information Science
Keywords
Field
DocType
e-learning,learning object,generative learning object,one-stage generative learning object,two-stage generative learning object
E learning,Reuse,Computer science,Learning object,Human–computer interaction,Generative model
Conference
Volume
ISSN
Citations 
319
1865-0929
2
PageRank 
References 
Authors
0.38
11
2
Name
Order
Citations
PageRank
Vytautas Stuikys110217.07
Renata Burbaite2123.98