A Portfolio Competency Assessment Approach: Case Study, an Engineering Degree

Marcos Levano, Billy Peralta, Juan Cid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The objective of this study is to propose an enabling strategy in complementary training competencies to generate qualified human capital in the mastery of advanced techniques in artificial neural networks. A horizontal case study is proposed which covers training stages in the student at an early stage for the training of a civil engineer in computer science. The case described here describes how the student, in the exploratory and training process, reaches a framework of maturity that allows him/her to validate specific competencies at different levels, such as applying computer science procedures, managing information technologies, software development, and modeling and applying engineering sciences. The coverage of competency integration courses allows maturity in knowledge, such as knowing, knowing how to know, knowing how to do, and being. The advances indicate a maturity of knowledge in the training process.

Original languageEnglish
Title of host publicationICSAI 2023 - 9th International Conference on Systems and Informatics
EditorsShaowen Yao, Zhenli He, Zheng Xiao, Wanqing Tu, Wanqing Tu, Kenli Li, Lipo Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350383706
DOIs
Publication statusPublished - 2023
Event9th International Conference on Systems and Informatics, ICSAI 2023 - Changsha, China
Duration: 16 Dec 202318 Dec 2023

Publication series

NameICSAI 2023 - 9th International Conference on Systems and Informatics

Conference

Conference9th International Conference on Systems and Informatics, ICSAI 2023
Country/TerritoryChina
CityChangsha
Period16/12/2318/12/23

Keywords

  • Algorithm
  • Detection
  • Images
  • Maturity
  • Methodology
  • Training

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Instrumentation

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