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Automatic Evaluation of Programming Assignments Using Information Retrieval Techniques

  • Md. Afzalur RahamanEmail author
  • Abu Sayed Md. Latiful Hoque
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 28)

Abstract

Nowadays, automatic assessment is a common need for the programming courses in e-learning platform. Programming courses often have a huge number of assignments, which is much tedious and error-prone job to manually check by instructors. In this paper, we present a model for automatic evaluation of C programming assignments by using TF-IDF algorithm, which is one of the most promising methods of information retrieval system. For scoring and ranking document, a combination of TF-IDF and cosine similarity algorithms has excellent performance. Experimental result shows that the proposed model has a good performance level.

Keywords

TF-IDF Cosine similarity Program solution feature 

Notes

Acknowledgements

The research was done as part of MSc. Engg. in ICT in the Institute of Information and Communication Technology under a research grant by Bangladesh University of Engineering and Technology (BUET), Dhaka.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Md. Afzalur Rahaman
    • 1
    Email author
  • Abu Sayed Md. Latiful Hoque
    • 2
  1. 1.IICT, BUETDhakaBangladesh
  2. 2.Department of CSEBUETDhakaBangladesh

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