Abstract
Automation of answer script evaluation helps in eliminating manual evaluation system. Automatic evaluation system is the technology to improve current examination process. The system helps to auto-evaluate and to calculate the correct and incorrect answer to grade the marks. This system helps in terms of saving time and to apply saved time in academic activities. However, the main approach is to mesh the existing manual evaluation system. Automation of answer scripts caters fast evaluation to give results in instant time. This paper presents a brief explanation about the answer script evaluation system.
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References
Praveen, S.: An approach to evaluate subjective questions for online examination system. Int. J. Innov. Res. Comput. Commun. Eng. 2, 6410–6413 (2014)
Tulaskar, A., Thengal, A., Koyande, K.: Subjective answer evaluation system. Int. J. Eng. Sci. Comput. 7(4), 10457–10459 (2017)
Parmar, V.P., Kumbharana, C.K.: Analysis of different examination patterns having question answer formulation, evaluation techniques and comparison of MCQ type with one word answer for automated online examination. Int. J. Sci. Res. Publ. 6(3), 459–463 (2016)
Dhokrat, A., Hanumant, G., Mahender, N.: Automated answering for subjective examination. Int. J. Comput. Appl. 56, 14–17 (2012)
Nikam, P., Shinde, M., Mahajan, R., Kadam, S.: Automatic evaluation of descriptive answer using pattern matching algorithm. Int. J. Comput. Sci. Eng., 69–70 (2015)
Sattayakawee, N.: Test scoring for non-optical grid answer sheet based on projection profile method. Int. J. Inf. Educ. Technol. 3(2), 273–277 (2013)
Patil, P., Patil, S., Miniyar, V., Bandal, A.: Subjective answer evaluation using machine learning. Int. J. Pure Appl. Math., 01–13 (2018)
Kulkarni, D., Thakur, A., Kshirsagar, J., Ravi Raju, Y.: Automatic OMR answer sheet evaluation using efficient reliable OCR system. Int. J. Adv. Res. Comput. Commun. Eng. 6(3), 688–690 (2017)
Patil, A., Naik, M., Ghare, P.H.: FPGA implementation for OMR answer sheet scanning using state machine and Ir sensors. Int. J. Electr. Electron. Data Commun. 4(11), 15–20 (2016)
Patil, S.M., Patil, S.: Evaluating student descriptive answers using natural language processing. Int. J. Eng. Res. Technol. (IJERT) 3(3), 1716–1718 (2014)
Reddy Tetali, D., Kiran Kumar, G., Ramana, L.: Python tool for evaluation of subjective answers (APTESA). Int. J. Mech. Eng. Technol. (IJMET) 8, 247–255 (2017)
Rinchen, P.: Comparative study of techniques used for automatic evaluation of free text answer. Int. J. Recent Innov. Trends Comput. Commun. 3839–3842 (2014)
Patel, D., Zaid, S.: Efficient system for evaluation of Omr sheet—a survey. Int. J. Adv. Res. Eng. Sci. Manag., 01–08 (2017)
Ntirogiannis, K., Gatos, B., Pratikakis, I.: An Objective Evaluation Methodology for Handwritten Image Document Binarization Techniques, 217–224 (2008)
Gite, N.S.: Implementation of descriptive examination and assessment system. Int. J. Adv. Res. Sci. Eng. 07, 252–257 (2018)
Malpe, V., Bhatia, S.: Evaluation of students’ answer scripts using soft computing techniques. Int. J. Mod. Eng. Res. (IJMER) 2(3), 1280–1289 (2012)
Gunawardena, T., Pathirana, N., Lokuhetti, M., Ragel, R., Deegalla, S.: Performance evaluation techniques for an automatic question answering system. Int. J. Mach. Learn. Comput. 5(4), 294–300 (2015)
Andrenucci, A., Sneiders, E.: Automated question answering: review of the main approaches. In: Proceedings of the Third International Conference on Information Technology and Applications, pp. 514–519 (2005)
Gunawardena, T., Lokuhetti, M., Pathirana, N., Ragel, R., Deegalla, S.: An Automatic Answering System with Template Matching for Natural Language Questions. IEEE, 353–358 (2010)
Singh, P., Sheorain, S., Tomar, S., Sharma, S., Bansode, N.K.: Descriptive answer evaluation. Int. Res. J. Eng. Technol. 05, 2709–2712 (2018)
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Ravikumar, M., Sampath Kumar, S., Shivakumar, G. (2021). Automation of Answer Scripts Evaluation-A Review. In: Gunjan, V.K., Suganthan, P.N., Haase, J., Kumar, A. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6691-6_20
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DOI: https://doi.org/10.1007/978-981-33-6691-6_20
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