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Virtual Career Advisor System

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Mobile Web and Intelligent Information Systems (MobiWIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13977))

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Abstract

The Dolphin system is a novel virtual career advisor system that implements artificial neural networks trained on student data to provide students with career advice. The Dolphin system consists of two advisors: an Experiences-to-Careers advisor and a Careers-to-Experiences advisor. Each advisor uses an artificial neural network. The Experiences-to-Careers advisor takes as input a student’s course experience ratings and returns as output a career ranking. The Careers-to-Experiences advisor takes as input a student’s career ranking and returns as output course experience ratings. We present the design, implementation and evaluation of the Dolphin system.

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Author information

Authors and Affiliations

  1. University of the West Indies, Bridgetown, Barbados

    Tracey John & Dwaine Clarke

  2. University of the West Indies, Kingston, Jamaica

    Daniel Coore

  3. Georgia Institute of Technology, Atlanta, GA, USA

    Fabian Monrose

  4. University of South Florida, Tampa, FL, USA

    John McHugh

Authors
  1. Tracey John
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  2. Dwaine Clarke
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  3. Daniel Coore
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  4. Fabian Monrose
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  5. John McHugh
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Corresponding author

Correspondence to Dwaine Clarke .

Editor information

Editors and Affiliations

  1. Oxford Brookes University, Oxford, UK

    Muhammad Younas

  2. University of Bradford, Bradford, UK

    Irfan Awan

  3. Kristiania University College, Oslo, Norway

    Tor-Morten Grønli

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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John, T., Clarke, D., Coore, D., Monrose, F., McHugh, J. (2023). Virtual Career Advisor System. In: Younas, M., Awan, I., Grønli, TM. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2023. Lecture Notes in Computer Science, vol 13977. Springer, Cham. https://doi.org/10.1007/978-3-031-39764-6_18

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  • DOI: https://doi.org/10.1007/978-3-031-39764-6_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39763-9

  • Online ISBN: 978-3-031-39764-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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