An Application of Hollands Genetic Algorithm for the Problem of Planning Advisors in Virtual Learning Environments
Distance Education (DE) is a teaching modality capable of providing professional formation for people with limited access to university education. For this end, a set of computational tools is required in assisting the teaching and learning process 6. Moreover, a common obstacle for DE is the issue of identifying possible advisors for those students in the process of writing monographs. As such, this has become an important issue for researches, placing their emphasis on the idea of working the interests of students, teachers and education managers. This paper demonstrates how Hollands genetic algorithm can be used to create a tool that uses a set of requirements provided by education managers in order to, automatically, do the identification of an advisor profile that is compatible with the interests of a student In addition, this paper also presents an example of the application of such tool in a DE undergraduate course of the Federal University of Alagoas.
component virtual learning environment genetic algorithm planning advisors
Douglas de Lima Feitosa Vitor Rafael Morais e Silva Roberta Vilhena Vieira Fabio Paraguacú Duarte da Costa
Computation Institute Federal University of Alagoas Maceió, Brazil
国际会议
重庆
英文
1-5
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）