C3-IoC: A career guidance system for assessing student skills using machine learning and network visualisation

Jose-Garcia, A., Sneyd, A., Merlo, A. et al. (6 more authors) (2023) C3-IoC: A career guidance system for assessing student skills using machine learning and network visualisation. International Journal of Artificial Intelligence in Education, 33 (4). pp. 1092-1119. ISSN 1560-4292

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2022. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Career guidance system; IT sector; technical and non-technical skills; job network visualisation; text mining; machine learning
Dates:
  • Accepted: 9 October 2022
  • Published (online): 1 December 2022
  • Published: December 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 26 Oct 2022 14:05
Last Modified: 18 Dec 2023 14:54
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: https://doi.org/10.1007/s40593-022-00317-y

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