A Model for Semi-Automatic Composition of Educational Content from Open Repositories of Learning Objects

Authors

  • Paula Andrea Rodríguez Marín Universidad Nacional de Colombia, Sede Medellín
  • Julián Moreno Cadavid Universidad Nacional de Colombia, Sede Medellín
  • Néstor Darío Duque Méndez Universidad Nacional de Colombia, Sede Manizales
  • Demetrio Arturo Ovalle Carranza Universidad Nacional de Colombia, Sede Medellín
  • Ricardo Silveira Universida Federal de Santa Catarina

Keywords:

Learning Object Repositories, Open Educational Resources, Educational Technology, Educational Theory.

Abstract

Learning objects (LOs) repositories are important in building educational content and should allow search, retrieval and composition processes to be successfully developed to reach educational goals. However, such processes require so much time-consuming and not always provide the desired results. Thus, the aim of this paper is to propose a model for the semiautomatic composition of LOs, which are automatically recovered from open repositories. For the development of model, various text similarity measures are discussed, while for calibration and validation some comparison experiments were performed using the results obtained by teachers. Experimental results show that when using a value of k (number of LOs selected) of at least 3, the percentage of similarities between the model and such made by experts exceeds 75%. To conclude, it can be established that the model proposed allows teachers to save time and effort for LOs selection by performing a pre-filter process.

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Published

2014-04-30