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Biometric and Intelligent Self-Assessment of Student Progress System

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Biometric and Intelligent Decision Making Support

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 81))

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Abstract

All distance learning participants (students, professors, instructors, mentors, tutors and the rest) would like to know how well the students have assimilated the study materials being taught. The analysis and assessment of the knowledge students have acquired over a semester are an integral part of the independent studies process at the most advanced universities worldwide. A formal test or exam during the semester would cause needless stress for students. To resolve this problem, the author in conjunction with colleagues have developed a Biometric and Intelligent Self-Assessment of Student Progress (BISASP) System. The obtained research results are comparable with the results from other similar studies. This chapter ends with two case studies to demonstrate practical operation of the BISASP System. The first case study analyses the interdependencies between microtremors, stress and student marks. The second case study compares the marks assigned to students during the e-self-assessment, prior to the e-test and during the e-test.

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Authors and Affiliations

  1. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

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  1. Arturas Kaklauskas
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Correspondence to Arturas Kaklauskas .

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Kaklauskas, A. (2015). Biometric and Intelligent Self-Assessment of Student Progress System. In: Biometric and Intelligent Decision Making Support. Intelligent Systems Reference Library, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-13659-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-13659-2_4

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