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Biometric and Intelligent Self-Assessment of Student Progress System

  • Arturas KaklauskasEmail author
Chapter
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Part of the Intelligent Systems Reference Library book series (ISRL, volume 81)

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.

Keywords

Voice Stress Analysis (VSA) Microtremor Frequency Kaklauskas Komarraju Intelligence Quotient Tests 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Vilnius Gediminas Technical UniversityVilniusLithuania

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