Volume 10 Issue 2 - April 2018

  • 1. Programming skill classification model: ffnn approach

    Authors : Dr. Shruti S. Jamsandekar

    Pages : 329-334

    DOI : http://dx.doi.org/10.21172/1.102.53

    Keywords : Educational Data Mining, Classification, Artificial Neural Network

    Abstract :

    This paper highlights the relevance of a Artificial Neural Network (ANN) learning methodology and attempted to model the task of measuring and classifying computer programming skills of students. ANN model based on Feed Forward Architecture with back propagation learning is devised and trained with two data sets. The model showed a fine capability of classifying the data from educational settings with an accuracy of 90% correct classification in the validation and testing phase, thus the model performance is apposite and acceptable for classification of above stated problem.

    Citing this Journal Article :

    Dr. Shruti S. Jamsandekar, "Programming skill classification model: ffnn approach", https://www.ijltet.org/journal_details.php?id=930&j_id=4513, Volume 10 Issue 2 - April 2018, 329-334, #ijltetorg