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Discovering Enhanced Pedagogical Practice Using Data Mining Techniques for Evaluation of Programming Language Teaching

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  • M. Ramla
  • M. Ramesh

Abstract

Evaluating the performance of teachers is a crucial aspect in the effective running of an institution. Teachers are knowledge creators and should be knowledgeable too. Although there are several analytical tools that help in this assessment, this paper especially focuses on the teaching evaluation for programming courses for the computer science subjects. The primary objective is to apply classification techniques to the prediction of performance of teachers. A survey with 150 students of BCA degree of SRM Institute of Science and Technology was made. The various fitting attributes contributing to the performance are identified. A predictive classification model has been built using different classifiers in python and results are tabulated.

Suggested Citation

  • M. Ramla & M. Ramesh, 2017. "Discovering Enhanced Pedagogical Practice Using Data Mining Techniques for Evaluation of Programming Language Teaching," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 869-871, December.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1726245
    Note: Article URL: https://ijsrcseit.com/CSEIT1726245
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