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An e-Exam Platform Approach to Enhance University Academic Student’s Learning Performance

  • Conference paper
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Intelligent Distributed Computing XII (IDC 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 798))

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Abstract

Nowadays it is common for higher education institutions to use computer-based exams, partly or integrally, in their evaluation processes. The fact that exams are undertaken in a computer allows for new features to be acquired that may provide more reliable insights into the behaviour and state of the student during the exam. Current performance monitoring approaches are either intrusive or based on productivity measures and are thus often dreaded by workers. Moreover, these approaches do not take into account the importance and role of the numerous external factors that influence productivity. In this paper, we outline a non-intrusive and non-invasive performance monitoring approach developed, as a stress detection system. It is based on guidance from psychological stress studies, as well as from the nature of stress detection during high-end exams, through real-time analysis of mouse movements and decision-making behavioural patterns during the execution of high-end exams, in order to enhance university academic students’ learning performance.

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Notes

  1. 1.

    MedQuizz website can be assessed through the website http://www.medquizz.com/.

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Acknowledgements

This work is part-funded by ERDF–European Regional Development Fund and by National Funds through the FCT–Portuguese Foundation for Science and Technology within project NORTE-01-0247-FEDER-017832. The work of Filipe Gonçalves is supported by a FCT grant with the reference ICVS-BI-2016-005.

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Technologies, University of Craiova, Craiova, Romania

    Radu Albastroiu, Anisia Iova & Marian Cristian Mihaescu

  2. Algoritmi Research Centre/Department of Informatics, University of Minho, Braga, Portugal

    Filipe Gonçalves & Paulo Novais

Authors
  1. Radu Albastroiu
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  2. Anisia Iova
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  3. Filipe Gonçalves
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  4. Marian Cristian Mihaescu
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  5. Paulo Novais
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Corresponding authors

Correspondence to Radu Albastroiu , Anisia Iova , Filipe Gonçalves , Marian Cristian Mihaescu or Paulo Novais .

Editor information

Editors and Affiliations

  1. Basque Center for Applied Mathematics (BCAM), TECNALIA, University of the Basque Country (UPV/EHU), Derio, Bizkaia, Spain

    Javier Del Ser

  2. TECNALIA, Derio, Bizkaia, Spain

    Eneko Osaba

  3. University of the Basque Country (UPV/EHU), Bilbao, Bizkaia, Spain

    Miren Nekane Bilbao

  4. Computer Science Department, University of Las Palmas de Gran Canaria, Las Palmas, Spain

    Javier J. Sanchez-Medina

  5. OpenIoT Reesarch Unit, FBK CREATE-NET, Trento, Italy

    Massimo Vecchio

  6. Department of Design Engineering and Mathematics, Middlesex University, London, UK

    Xin-She Yang

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Albastroiu, R., Iova, A., Gonçalves, F., Mihaescu, M.C., Novais, P. (2018). An e-Exam Platform Approach to Enhance University Academic Student’s Learning Performance. In: Del Ser, J., Osaba, E., Bilbao, M., Sanchez-Medina, J., Vecchio, M., Yang, XS. (eds) Intelligent Distributed Computing XII. IDC 2018. Studies in Computational Intelligence, vol 798. Springer, Cham. https://doi.org/10.1007/978-3-319-99626-4_35

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  • DOI: https://doi.org/10.1007/978-3-319-99626-4_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99625-7

  • Online ISBN: 978-3-319-99626-4

  • eBook Packages: EngineeringEngineering (R0)

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