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Deep structure - surface instantiation

For these GLOs to be truly adaptable, the underlying general structure of the material needs to be separated from the specific content. How this is achieved depends to a large extent on the nature of the material itself: the concept that needs to be understood; the process, procedure or code that must be stepped through or the dataset that requires application of a statistical method. The act of making a GLO is thus one of deconstruction where the higher levels of content are separated from the deep structures at the core, the 'essence'. It is these deep structures that form the basis for reuse with lecturers providing their own instance of material for their particular teaching and learning purposes. The challenge then, is to make the GLO powerful enough for general reuse whilst keeping it simple to modify in as many different ways as possible.

Introduction

Deep structure - surface instantiation

GLOs and learning design

GLO architecture

Learning Object Template

From template to learning object library

GLOs: Generative Learning Objects. Updated: 28 Jan 05. Email: webmaster@ucel.ac.uk

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