Abstract
Lexical competence, the writer ability to use properly vocabulary, becomes a basic issue of a writing instructor when reviewing drafts. Here, we present the basic part of a web-based intelligent tutoring system to provide student guidance and evaluation in structuring research proposals. We elaborate a network-based model to follow the progress of each student in the development of the project, supply assignments and personalized feedback on each evaluation. This tutor includes for now a module for assessing the lexical richness, in terms of three measures: variety, density, and sophistication, that are described. We also explain the methodology for pilot testing with undergraduate students, whose results were encouraging, indicating that the tutor indeed helps students.
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García Gorrostieta, J.M., González López, S., López-López, A., Carrillo, M. (2013). An Intelligent Tutoring System to Evaluate and Advise on Lexical Richness in Students Writings. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds) Scaling up Learning for Sustained Impact. EC-TEL 2013. Lecture Notes in Computer Science, vol 8095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40814-4_55
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DOI: https://doi.org/10.1007/978-3-642-40814-4_55
Publisher Name: Springer, Berlin, Heidelberg
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