Research in Computing Science, Vol. 56, pp. 29-36, 2012.
Abstract: Guiding students on writing is a hard and time consuming chore for advisors, since it requires several iterations before achieving an acceptable level. Normally, when professors advise students close to graduation, most questions are about the structure of the thesis project. Issues such as the correct wording or abuse of certain terms within a title, problem statement, objectives and justification become the main tasks of the instructor. In this paper, we present a web-based intelligent tutoring system (ITS) to provide student advice in structuring research projects. We propose a student model based on a network to follow the progress of each student in the development of the project and personalized feedback on each assessment. This tutor includes a module for assessing the lexical richness, which is done in terms of lexical density, lexical variety, and sophistication. We also establish the methodology for future testing with undergraduate students.
Keywords: E-learning, natural language processing, intelligent tutoring system, lexical richness
PDF: Assessing and Advising on Lexical Richness in an Intelligent Tutoring System
PDF: Assessing and Advising on Lexical Richness in an Intelligent Tutoring System