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Computer Applications in Engineering Education
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Artificial Intelligence Literacy: Scientific Impact of LearningML Software

Authors: Pablo Dúo‐Terrón; Juan David Rodríguez‐García; Gregorio Robles‐Martínez; Antonio José Moreno‐Guerrero;

Artificial Intelligence Literacy: Scientific Impact of LearningML Software

Abstract

ABSTRACT Creating with artificial intelligence (AI) is fundamental to AI literacy through effective teaching methods and programmes. The aim is to suggest strategies for AI literacy education using LearningML software, based on machine learning, which allows users to create artificial intelligence models to recognise text and images without the need for programming knowledge. The study method is based on a systematic review of different databases that have integrated LearningML since 2020, their authors, countries, affiliations, keywords, associated resources, objectives, study methods, and conclusions, in order to determine the impact of the LearningML tool for integrating and developing AI literacy in teachers, students, and any user. The results were 48 documents that position LearningML software as a resource that can be integrated into curricula to promote AI literacy from primary education (K‐8) to university, and even for any citizen. The main conclusions position this software in STEM fields, such as medicine, which recommend this software for understanding the fundamentals of AI. This tool helps address the challenge of preparing citizens for the future and making decisions about the use of AI.

Country
Spain
Keywords

Artificial intelligence, Computer software, Education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average