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Universidad, Ciencia y Tecnología

Print version ISSN 1316-4821On-line version ISSN 2542-3401

Abstract

HERNANDEZNODARSE, Mario et al. Teaching experience in competency-based assessment supported by ChatGPT. uct [online]. 2025, vol.29, n.127, pp.31-40.  Epub July 20, 2025. ISSN 1316-4821.  https://doi.org/10.47460/uct.v29i127.959.

In this work, the evaluations of university students on the integration of artificial intelligence (AI) with ChatGPT in evaluation activities developed in different subjects and its contribution to the development of competencies with an ethical approach were analyzed. A quantitative, exploratory and descriptive methodology was used. The information was collected with a Likert scale survey applied to 494 students of the Basic Education career, whose answers were processed with Excel and SPSS. The results obtained show a predominant positive impact, highlighting the management of scientific information, feedback and the improvement of learning. Critical areas are collaboration, interlearning, clear expression of ideas, and academic dishonesty, indicating the need to strengthen AI-assisted assessment practices. It is concluded that its use is subject to improvement and should be oriented towards training purposes, promoting ethical, collaborative and contextualized learning.

Keywords : educational assessment; artificial intelligence; ChatGPT; competencies.

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