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Prediction Model Based on User Profile and Partial Course Progress for a Digital Media Learning Environment

Authors:
Arturo Fernandez Espinosa
Meaghen Regts
Jayshiro Tashiro
Miguel Vargas Martin

Keywords: Databases; Data Mining; Education, Knowledge Discovery; Digital Media Learning Environment.

Abstract:
This work in progress reports on the implementation of a data mining system aimed at predicting the final GPA of healthcare students within the context of our learning environment called IPSims. The predictions are based on the user profile, and their choices and preferences within IPSims. The intended predictions will use various well-known and widely used IT technologies and data mining techniques combined in such a way to overcome the complexity of IPSims and its associated disaggregation variables. The present work shows the application of well-known data mining techniques within the environment called IPSims.

Pages: 120 to 123

Copyright: Copyright (c) IARIA, 2012

Publication date: February 29, 2012

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-185-4

Location: Saint Gilles, Reunion

Dates: from February 29, 2012 to March 5, 2012