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Computer-Assisted Valuation of Descriptive Answers Using Weka with RandomForest Classification

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Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 476))

Abstract

In the present scenario, digitization is one of the most important goals of India. It has a serious impact on the education system, and exams are the basic requirement of education. To make exams digitized, a large number of resources are required. But a smaller step can be taken to digitize exams with minimum resources. In this research work, a classifier-based approach is proposed for the valuation of descriptive answers. An experiment is carried out in our academic organization to build the required dataset. Dataset consists of 530 training samples and 159 testing samples that are classified by using RandomForest classification. It is observed that 61.63% answers are exactly evaluated without any predefined threshold value and 96.22% with a manual threshold value of ±1 mark.

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References

  1. A. K. Mohan, M. H. M. K. Prasad, “A Novel Feature Clustering Algorithm for Valuation of Descriptive Type Examination”, Int. J. Comput. Appl, vol. 98, no. 9, July 2014, pp: 35–41.

    Google Scholar 

  2. A. Kaur, M. Sasikumar, S. Nema, S. Pawar, “Algorithm for Automatic Valuation of Single Sentence Descriptive Answer”, Int. J. Inventive Engineering and Sciences, vol. 1, Issue-9, August 2013, pp: 6–9.

    Google Scholar 

  3. C. S. Kumar and R. J. R. Sree, “An Attempt to Improve Classification Accuracy through Implementation of Bootstrap Aggregation with Sequential Minimal Optimization during Automated Evaluation of Descriptive Answers,” vol. 7, no. September, pp. 1369–1375, 2014.

    Google Scholar 

  4. J. Mamčenko, I. Šileikienė, J. Lieponienė, and R. Kulvietienė, “Evaluating the Data of an e-Examination System Using a Descriptive Model in Order to Identify Hidden Patterns in Students Answers,” Online J. Comput. Sci. Inf. Technol., no. 12, pp. 45–49.

    Google Scholar 

  5. P. Sharma, “International Journal on Recent and Innovation Trends in Computing and Communication Comparative Analysis of Various Decision Tree Classification Algorithms using WEKA,” pp. 684–690.

    Google Scholar 

  6. R. Dubey and R. R. S. Makwana, “Comparative Analysis of Computer Assisted Valuation of Descriptive Answers using WEKA with different classification algorithms,” vol. 4, no. 6, pp. 5–10, 2017.

    Google Scholar 

  7. A. Dhokrat, “Automated Answering for Subjective Examination”, Int. J. of Computer Appl, vol. 56, no. 14, pp. 14–17, 2012, ISSN: 0975 – 8887.

    Google Scholar 

  8. V. P. Parmar and C. K. Kumbharana, “Question Answer Formulation, Evaluation Techniques And Comparison Of MCQ Type With One Word Answer”, Int. J. Scientific and Research Publications, vol. 6, no. 3, pp. 459–463, ISSN: 2250–3153, 2016.

    Google Scholar 

  9. S. Praveen, “An Approach to Evaluate Testability”, Int. J. Innov. Res. Comput. Commun. Eng., vol. 2, no. 11, pp. 6410–6413, ISSN: 2320-9801, 2014.

    Google Scholar 

  10. A. Tüfekçi, H. Ekinci, and U. Köse, “Development of an internet-based exam system for mobile environments and evaluation of its usability”, Mevlana Int. J. Educ., vol. 3, no. 4, pp. 57–74, 2013.

    Google Scholar 

  11. R. Divya and M. Kumar, “Enhanced Digital Assessment Of Examination With Secured Access”, Int. J Advanced Studies in Computer Science and Engineering, vol. 3, no. 10, pp. 33–37,ISSN: 2278-7917, 2014.

    Google Scholar 

  12. S. J. Aboud, “Secure E-Exam Scheme”, Int. J. Science and Research, vol. 3, no. 9, pp. 2200–2203, ISSN: 2319-7064, 2014.

    Google Scholar 

  13. R. K. Sungkur, I. Beekoo, D. L. Bhookhun, “An Enhanced Mechanism For The Authentication Of Students Taking Online Exams”, IEEE AFRICON Conf., 2013.

    Google Scholar 

  14. L. Devasena, “Comparative Analysis of Random Forest, REP Tree and J48 Classifiers for Credit Risk Prediction”, Int. J. Comput. Appl., pp. 975–8887, ISSN: 0975-8887, 2014.

    Google Scholar 

  15. J. Ali, R. Khan, N. Ahmad, I. Maqsood, “Random Forests and Decision Trees”, Int. J. Computer Science Issues, vol. 9, issue 5, No 3, ISSN (Online): 1694-0814, 2012.

    Google Scholar 

  16. R. Mishra, N. Singh, M. Gusai, J. Patel, N. Modi “Ontology Based Algorithm And Life Cycle For Subjective Answer Assessment System”, Int. J. Advance Research In Science And Engineering, vol. 4, Special Issue (01), ISSN(Online): 2319-8354, 2015.

    Google Scholar 

  17. A. Guruji, Mrunal, M. Pagnis, S. M. Pawar, P. J. Kulkarni, “Evaluation of Subjective Answers Using GLSA Enhanced with Contextual Synonymy” Int. J. Natural Language Computing, vol. 4, no. 1, 2015.

    Google Scholar 

  18. M. Syamala Devi, Himani “Subjective Evaluation using LSA Technique” Int. J. Computers and Distributed Systems, vol. 3, no. 1, pp. 15–19, ISSN: 2278-5183, 2015.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India

    Ruhi Dubey & Rajni Ranjan Singh Makwana

Authors
  1. Ruhi Dubey
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  2. Rajni Ranjan Singh Makwana
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Correspondence to Ruhi Dubey .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Vijay Nath

  2. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

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Dubey, R., Makwana, R.R.S. (2019). Computer-Assisted Valuation of Descriptive Answers Using Weka with RandomForest Classification. In: Nath, V., Mandal, J. (eds) Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017). Lecture Notes in Electrical Engineering, vol 476. Springer, Singapore. https://doi.org/10.1007/978-981-10-8234-4_31

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  • DOI: https://doi.org/10.1007/978-981-10-8234-4_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8233-7

  • Online ISBN: 978-981-10-8234-4

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