Advanced Tools for the estimation of basic Knowledge Level on Education and Training

Authors

  • José Alberto Hernández Aguilar Facultad de Contaduría, Administración e Informática, Universidad Autónoma del Estado de Morelos, MÉXICO
  • Gennadiy Burlak Centro de Investigación en Ingeniería y Ciencias Aplicadas, Universidad Autónoma del Estado de Morelos, MÉXICO
  • René Santaolaya Salgado Departamento de Ciencias Computacionales, Centro Nacional de Investigación y Desarrollo Tecnológico CENIDET, MÉXICO
  • Carlos Alberto Ochoa Ortiz Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, MÉXICO
  • Messouma Atakishiyeva Centro de Investigación en Ingeniería y Ciencias Aplicadas, Universidad Autónoma del Estado de Morelos, MÉXICO

DOI:

https://doi.org/10.30973/progmat/2009.1.2/4

Keywords:

Fingerprint Recognition, Biometrics in Education, Online Assessment

Abstract

We describe the use of our online assessment system (Server-Client) equipped by biometric recognition capabilities, applied to evaluate the basic knowledge in a High School. In this Report we discuss the possibilities of real identification of remote students to solve important problem: “Who's there?” In our experiment we randomly selected a sample of students (n=54) and performed two evaluations: a normal evaluation (paper and pencil), and a computer assessment. In the latter case our online assessment system with biometric tools could authenticate a student by means of index fingerprint. If a student is authenticated, the system allows online assessment, meanwhile such a student is being monitoring by web cams. During online assessment students were affected by the online environment, they obtained lower grades online than on traditional tests. Fingerprint recognition was very well accepted. However, 13% of students tested dislike web cam monitoring, and 20% of them noticed a way to commit cheat. This technology allows us to obtain the comparable statistics of both evaluations and discuss general recommendations for strategy, technology and equipping of online computer assessment.

Author Biographies

José Alberto Hernández Aguilar, Facultad de Contaduría, Administración e Informática, Universidad Autónoma del Estado de Morelos, MÉXICO

Obtained his Doctorate degree on Engineering and Applied Sciences in November 2008 at Universidad Autonoma del Estado de Morelos (UAEM). Since November 2008, he is working as full time professor at UAEM. He is candidate to SNI. Areas of interest: Databases, Artificial Intelligence, On-line Assessment Systems, Marketing Research and e-commerce.

Gennadiy Burlak, Centro de Investigación en Ingeniería y Ciencias Aplicadas, Universidad Autónoma del Estado de Morelos, MÉXICO

Gennadiy Burlak. Worked in the Physics faculty at the National University of Kiev where he occupied several faculty positions- His last position was full-time professor at the Physics Faculty. Dr. G. Burlak entered to UAEM since 1998. He delivers several courses in the Physics and Computers areas. Nowadays he is full time professor at CIICAp- UAEM and SNI 2.

René Santaolaya Salgado, Departamento de Ciencias Computacionales, Centro Nacional de Investigación y Desarrollo Tecnológico CENIDET, MÉXICO

Is a researcher in the National Center for Research and Technological Development (CENIDET), Cuernavaca, Morelos, México. His research interest includes software process models, software architectures, software reuse, legacy software re-engineering, service oriented architectures and web services. René Santaolaya received a PhD in Computer Science (Software Engineering) from National Polytechnic Institute, Computing Research Center. He teaches in the Advanced Msc. Program in the Software Engineering Area. He is a senior member of the IEEE.

Carlos Alberto Ochoa Ortiz, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, MÉXICO

Bs’94–Eng.Master’00– PhD’04-Postdoctoral Researcher’06 & Industrial Postdoctoral Research’09). He has 1 book, and 7 chapters in books related with AI. He is SNI 1. His research interests include evolutionary computation, natural processing language, applications of Artificial Intelligence in Optics and social data mining.

Messouma Atakishiyeva, Centro de Investigación en Ingeniería y Ciencias Aplicadas, Universidad Autónoma del Estado de Morelos, MÉXICO

She is full time professor at Sciences Faculty at UAEM. She is working at the Department of Mathematics. She is member of SNI.

References

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Published

2009-12-30

How to Cite

Hernández Aguilar, J. . A., Burlak, G., Santaolaya Salgado, R., Ochoa Ortiz, C. A., & Atakishiyeva, M. (2009). Advanced Tools for the estimation of basic Knowledge Level on Education and Training. Programación Matemática Y Software, 1(2), 32–43. https://doi.org/10.30973/progmat/2009.1.2/4

Issue

Vol. 1 No. 2 (2009): December 2009

Section

Articles

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Copyright (c) 2009 Programación Matemática y Software

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