CW 2008_13

Xavier Ochoa
Learnometrics: Metrics for learning objects

Advisor(s): Erik Duval

Abstract

Information technology have been changing and improving the way in which teaching and learning is conducted. One aspect where the Information Technology is having profound impact is the creation and reuse of digital learning materials or more commonly called Learning Objects. Thanks to its digital nature, these objects are easy to copy, distribute and adapt. This means that teachers and learners do not need to create all their learning material, but they can share what they already have and obtain and repurpose existing content made by their peers. This economy based in sharing leads to considerable saving in time and effort and provide learning materials of better quality to an expanded population.

However useful this Learning Object Economy is, little is known about how it works. How many learning objects are published and reused? how many objects each teacher produce? what is the optimal size of the objects? are basic questions that did not have an answer. Also, the tools used to create, publish, search and reuse learning objects are not smart enough and require a considerable amount of work from the users. This dissertation study the inner workings of the Learning Object Economy and propose small calculations (metrics) that can be used to improve current tools. The main findings of this research reveal that the Learning Object Economy exist but it is still immature and that the application of simple metrics could greatly improve the way in which learning objects are shared and reused.

Doctadmin 3E070835 / text.pdf (3.6M) / mailto: hmdb team