Automatic Assessment of Learning Outcomes as a New Paradigm in Teaching a Programming Course: Engineering in Society 5.0

Programming education goes through the transition from the content model to the learning outcomes model and the integration of technology, where automatic assessment tools allow students to support them in practice; This makes learning inclusive by proposing a transversal approach so that the necess...

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Bibliographic Details
Published inIEEE-RITA Vol. 17; no. 4; pp. 379 - 385
Main Authors Hidalgo-Suarez, Carlos G., Bucheli, Victor A., Ordonez, Hugo
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:Programming education goes through the transition from the content model to the learning outcomes model and the integration of technology, where automatic assessment tools allow students to support them in practice; This makes learning inclusive by proposing a transversal approach so that the necessary programming skills are achieved. In this sense, this paper presents a strategy that evaluates the source code and analyzes it using software metrics to identify students' learning results in a programming course. A strategy was developed that integrates an automatic source code evaluation tool, which allowed us to identify How an evaluation-based approach supports the learning process, time, and impact in a computer programming course? The results show that the strategy helps the transition from a programming course to a learning outcomes model and reduces the evaluation time without affecting students' grades, compared to the traditional way. Finally, it is essential to highlight that the development of strategies that integrate tools that support the teaching-learning and evaluation process in programming courses has a positive impact on academic training and decision-making, seeking to improve students' weaknesses through the analysis of the outcomes obtained.
ISSN:1932-8540
1932-8540
2374-0132
DOI:10.1109/RITA.2022.3217193