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Aptitude Question Paper Generator and Answer Verification System

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Recent Developments in Machine Learning and Data Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 740))

Abstract

Aptitude test plays a vital role in assessing the ability of a person to perform various tasks and inculcates the ability of numerical reasoning, logical thinking, speed, accuracy and other such skills. Generating an effective aptitude question paper for aptitude test is a non-trivial task and manual generation of aptitude question paper is a conventional method. In this paper, a novel method is proposed, which automatically generates aptitude-based questions with certain keywords using randomization technique. The proposed system has the feature of generating multiple-related answers including the correct option for every generated question, and at the same time, it verifies the user’s response in real time and generates score. It overcomes the major limitations of the existing automated system where question papers are generated by random selection of questions from question banks prepared by the examiner. The implementation of the proposed system has been shown along with the performance evaluation on the basis of repetitiveness of same questions.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering and Information Technology, Assam Don Bosco University, Guwahati, India

    Meghna Saikia, Saini Chakraborty, Suranjan Barman & Sarat Kr. Chettri

Authors
  1. Meghna Saikia
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  2. Saini Chakraborty
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  3. Suranjan Barman
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  4. Sarat Kr. Chettri
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Corresponding author

Correspondence to Meghna Saikia .

Editor information

Editors and Affiliations

  1. College of Engineering and Applied Science, University of Colorado Colorado Springs, Colorado Springs, CO, USA

    Jugal Kalita

  2. Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Computer Applications, Sikkim Manipal University, Sikkim, India

    Samarjeet Borah

  4. Department of Computer Applications, Sikkim Manipal University, Sikkim, India

    Ratika Pradhan

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© 2019 Springer Nature Singapore Pte Ltd.

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Saikia, M., Chakraborty, S., Barman, S., Chettri, S.K. (2019). Aptitude Question Paper Generator and Answer Verification System. In: Kalita, J., Balas, V., Borah, S., Pradhan, R. (eds) Recent Developments in Machine Learning and Data Analytics. Advances in Intelligent Systems and Computing, vol 740. Springer, Singapore. https://doi.org/10.1007/978-981-13-1280-9_12

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