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Title:
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AUTOMATIC RECOGNITION OF REUSABLE LEARNING MATERIALS IN EDUCATIONAL DOCUMENTS |
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Author(s):
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Emilio Ormeño, Susana Ruíz, Myriam Herrera, Silvana Aciar, Sergio Ochoa, Rubén Darío Franco |
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ISBN:
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978-972-8939-46-5 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Text Classification, Web Mining, Teaching-Learning Process, Learning Objects. |
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Type:
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Full Paper |
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First Page:
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51 |
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Last Page:
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58 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The great development of the Internet provides teachers a wealth and variety of freely accessible educational text that can be used to build or update their course materials. Seen as a process, after an educational document has been found, the teacher must determinate the parts of the text that are likely reusable for his/her course in terms of their relevance and/or their formality. In general, a formal text such as a definition, concept, or theorem, is potentially more reusable than an example or teaching activities, in this paper, we present ByTexClass, a software that can be trained to automatically recognize the parts of educational documents that are more likely to be reused. |
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