The Impact of Learning Activities on the Final Grade in Engineering Education
Author(s) -
Raúl Ramírez-Velarde,
Nia Alexandrov,
Miguel Sanhueza-Olave,
Raul Perez-Cazares
Publication year - 2016
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2016.05.465
Subject(s) - statistic , principal component analysis , computer science , curriculum , principal (computer security) , sample (material) , correlation , component (thermodynamics) , mathematics education , statistics , artificial intelligence , mathematics , psychology , pedagogy , chemistry , geometry , physics , chromatography , thermodynamics , operating system
A principal component analysis is carried out on the undergraduate level “Stochastic Models” course. We determine that the first principal component has a positive correlation with the score of the final written cumulative exam. This could possible mean that the final exam could be eliminated from engineering curricula, but the variability is significant as measured by the correlation R statistic. We gathered a much larger sample and found that the variability increased, indicating changes in the course and students emphasis in learning activities. Therefore we concluded, that the evidence presented does not justify eliminating written cumulative final exams
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