Efficient coding is one of the chal information and communication theory. On t natural languages such as Bengali is cod technology which requires more space and thu to transfer the data of that language. In th proposed a novel algorithm to represent Ben and then to compress the text offering a better Each Bengali character is represented by intermediate decimal value. Indexing and so values successive subtraction is performed on to reduce the weight of the numbers. The n word can now be encoded with a very few bits other compressors, the compression ratio algorithm decreases in a big amount for the lar contain more duplicate or redundant words, m same length and more words of the same len prefix called Uposorgo in Bengali.
Educational Data Mining (EDM) has become a promising research field for improving the quality of students and the education system. Although EDM dates back to several years, there is still lack of works for measuring and enhancing the computer programming skills of tertiary students. As such, we, in this paper, propose an EDM system for evaluating and improving tertiary students’ programming skills. The proposed EDM system comprises two key modules for (i) classification process and (ii) learning process,. The classification module predicts the current status of a student and the learning process module helps generate respective suggestions and feedback to enhance the student’s quality. In particular, for the classification module, we prepare a real dataset related to this task and evaluate the dataset to investigate six key Machine Learning (ML) algorithms, Support Vector Machine (SVM), decision tree, artificial neural network, Random Forest (RF), k-nearest neighbor and naive Bayes classifier, using accuracy-related performance measure metrics and goodness of the fit. The experimental results manifest that RF and SVM can predict the students more accurately than the other models. In addition, critical factors analysis is accomplished to identify the critical features toward achieving high classification accuracy. At last, we design an improvement mechanism in the learning process module that helps the students enhance their programming skills.
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