Generative learning objects are the second generation of learning objects representing instantiable patterns designed for reuse purposes. Among them we identified in the literature two concrete models: Moodle Coordinate Questions and Auto-generative Learning Objects. Each model has its own approach of creation and generation of student consumable learning objects. A comparison and an analysis of the semantic details will help us to improve both models.
learning objects, generative learning objects formats, variables, random values
@Article{Chirila2015FIHA, author = {Ciprian-Bogdan Chirila}, title = {A Comparison of MCQ and AGLO Generative Learning Object Models}, journal = {Annals of Faculty of Engineering Hunedoara}, pages = {1--6}, volume = {4}, isbn = {}, address = {Hunedoara, Romania}, month = {November}, year = {2015}, }
[Chirila2015FIHA] - Ciprian-Bogdan Chirila. A Comparison of MCQ and AGLO Generative Learning Object Models, Annals of Faculty of Engineering Hunedoara, Hunedoara, Romania, November, 2015.
[Chirila2015FIHA] - Ciprian-Bogdan Chirila. A Comparison of MCQ and AGLO Generative Learning Object Models, Annals of Faculty of Engineering Hunedoara, Hunedoara, Romania, November, 2015.