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Abstract

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A three-year pilot study investigated the effectiveness of artificial intelligence (AI) as a motivational tool for teaching programming concepts within the Croatian Informatics curriculum. The study was conducted in schools through the extracurricular activity EDIT CodeSchool with the Development of Intelligent Web Applications (RIWA) module. Twelve schools in Split-Dalmatia County in the Republic of Croatia participated, resulting in 112 successfully completed student projects. The program consisted of two phases: (1) theoretical instruction with examples and exercises, and (2) project-based learning, where students developed final projects using JavaScript and the ml5.js library. The study employed project analysis and semi-structured student interviews to assess learning outcomes. Findings suggest that AI-enhanced learning can effectively support programming education without increasing instructional hours, providing insights for integrating AI concepts into existing curricula.

Details

1009240
Subject
Teaching;
Curricula;
Students;
Learning;
Artificial intelligence;
Applications programs;
Artificial intelligence literacy
Business indexing term
Identifier / keyword
AI literacy; artificial intelligence in education; programming for children; extra-curricular activities; project-based learning
Title
Integration of Artificial Intelligence in K-12: Analysis of a Three-Year Pilot Study
Author
Lišnić, Boško; Zaharija, Goran; Mladenović, Saša
Publication title
AI; Basel
Volume
6
Issue
3
First page
49
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
Computers--Artificial Intelligence
e-ISSN
26732688
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-03-01
Milestone dates
2025-01-30 (Received); 2025-02-23 (Accepted)
Publication history
 
 
   First posting date
01 Mar 2025
DOI
https://doi.org/10.3390/ai6030049
ProQuest document ID
3181340873
Document URL
https://www.proquest.com/scholarly-journals/integration-artificial-intelligence-k-12-analysis/docview/3181340873/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-10
Database
ProQuest One Academic