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.
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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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Rahaman, M.A., Latiful Hoque, A.S.M. (2019). Automatic Evaluation of Programming Assignments Using Information Retrieval Techniques. In: Chaki, N., Devarakonda, N., Sarkar, A., Debnath, N. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 28. Springer, Singapore. https://doi.org/10.1007/978-981-13-6459-4_6
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DOI: https://doi.org/10.1007/978-981-13-6459-4_6
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