Artificial intelligence in primary education: guidelines for ethical and effective classroom implementation
DOI:
https://doi.org/10.17561/ae.v27n1.9258Keywords:
Artificial intelligence, educational technology, educational resources, digital skillsAbstract
Artificial Intelligence (AI) holds significant potential to transform education and the teaching–learning process. This study, grounded in a comprehensive review of academic literature sourced from Dialnet, WOS, and Scopus, along with an analysis of various AI technologies and a feasibility assessment for classroom implementation, aims to propose a set of guidelines to encourage primary education teachers to use AI ethically and effectively in the classroom. The analysis reveals that tools such as chatbots and Learning Management Systems (LMS) are both cost-effective and easily implementable. Furthermore, AI is shown to enhance personalised learning and streamline administrative and instructional tasks. However, findings also underscore the need for targeted teacher training and careful attention to data privacy, in order to promote a responsible and ethical use of AI among students.
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Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion Rebooted? Exploring the future of artificial intelligence in schools and colleges. Londres, NESTA.
Boletín Oficial del Estado [BOE] (2020). Ley Orgánica 3/2020, de 29 de diciembre, por la que se modifica la Ley Orgánica 2/2006, de 3 de mayo, de Educación. Boletín Oficial del Estado, BOE-A-2020-17264, 340, https://www.boe.es/diario_boe/txt.php?id=BOE-A-2020-17264
BOE (2022). Resolución de 4 de mayo de 2022, de la Dirección General de Evaluación y Cooperación Territorial, por la que se publica el Acuerdo de la Conferencia Sectorial de Educación, sobre la actualización del marco de referencia de la competencia digital docente. BOE-A-2022-8042, 116, 67979-68026. https://www.boe.es/eli/es/res/2022/05/04/(5)
Bulut, O., & Yildirim-Erbasli, S. N. (2022). Automatic story and item generation for reading comprehension assessments with transformers. International Journal of Assessment Tools in Education, 9, 72-87. https://doi.org/10.21449/ijate.1124382
Butuner, R., & Hanefi, M. (2022). Estimation of the Academic Performance of Students in Distance Education Using Data Mining Methods. International Journal of Assessment Tools in Education, 9 (2), 410–429. https://doi.org/10.21449/ijate.904456
Cáceres, J. L. G. (2024). Razonamiento, falacias y sesgos en el análisis de inteligencia. Cuadernos de la Guardia Civil: Revista de seguridad pública, 71, 27-51.
Chen, S., Qiu, S., Li, H., Zhang, J., Wu X., & Zeng, W. (2023). An integrated model for predicting pupils’ acceptance of artificially intelligent robots as teachers. Education Informational Technology, 28, 11631–11654. https://doi.org/10.1007/s10639-023-11601-2
Chubb, J., Missaoui, S., Concannon, S., Maloney, L., & Walker, J. (2021). Interactive storytelling for children: A case-study of design and development considerations for ethical conversational AI. International Journal of Child-Computer Interaction, 32, 10403. https://doi.org/10.1016/j.ijcci.2021.100403
Clarisó, R. [UOC] (2023). IA generativa en educación: una visión práctica [Video]. Youtube. https://www.youtube.com/watch?v=uSXMR70en-4
European Comission. (2021). Plan de Acción de Educación Digital. European Comission. https://education.ec.europa.eu/es/focus-topics/digital-education/action-plan
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and implications for teaching and learning. Boston, MA, Center for Curriculum Redesign.
Huang, S. (2021). Design and Development of Educational Robot Teaching Resources Using Artificial Intelligence Technology. International Journal of Emerging Technologies in Learning (iJET), 16 (5), 116–129. https://doi.org/10.3991/ijet.v16i05.20311
Lee, J., Taesoo, A., Chu, H. E., & Martin, S. (2023). Improving science conceptual understanding and attitudes in elementary science classes through the development and application of a rule-based AI chatbot. Asia-Pacific Science Education, 9 (2), 365-412. https://doi.org/10.1163/23641177-bja10070
Li, M., & Su, Y. (2020). Evaluation of Online Teaching Quality of Basic Education Based on Artificial Intelligence. International Journal of Emerging Technologies in Learning, (iJET), 15 (16), 147–161. https://doi.org/10.3991/ijet.v15i16.15937
Longo, L. [TEDxTalks] (2019). How to Empower Education with Artificial Intelligence [Video]. Youtube. https://www.youtube.com/watch?v=WQP81JvgcdI&t=675s
Merchán-Sánchez-Jara, J. M., González-Gutiérrez, S., Navarro-Cáceres, M., Olarte-Martínez, M. M., & Pedrero-Muñoz, C. (2023). El proyecto Co-Poem: recursos didácticos y proyección pedagógica para la educación musical en Educación Primaria. Education in the Knowledge Society (EKS), 24, e30981. https://doi.org/10.14201/eks.30981
Miao, F., & Holmes, W. (2024). Guía para el uso de IA generativa en educación e investigación. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000389227
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO] (2024, 6 de febrero). Qué necesita saber acerca del aprendizaje digital y la transformación de la educación. https://www.unesco.org/es/digitaleducation/need-know
Oyedoyin M., Temitayo, I., & Adekunle, M. (2024). Young children’s conceptions of computing in an African setting. Computer Science Education. https://doi.org/10.1080/08993408.2024.2314397
Prieto, J. M. (2023). La IA en Educación y la aplicabilidad de ChatGPT. Revista-Noticias. UNIR. https://www.unir.net/educacion/revista/inteligencia-artificial-educacion-chatgpt/
Sperling, K., Stenliden, L., Nissen, J., & Heintz, F. (2022). Still w (AI) ting for the automation of teaching: An exploration of machine learning in Swedish primary education using Actor-Network Theory. European Journal of Education, 57, 584–600. https://doi.org/10.1111/ejed.12526
UNESCO (2023). Guía para el uso de la IA generativa en educación e investigación. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000389227
Yuquilema-Cortez, M. B., Arízaga-Vera, F. E., Aguirre-Alarcón, M. Y., & García-Suñiga, A. A. (2024). Impacto de la IA en la educación, retos y oportunidades. RECIMUNDO, 8 (2), 24–34. https://doi.org/10.26820/recimundo/8.(2).abril.2024.24-34
Zammit M., Voulgari I., Liapis, A., & Yannakakis, G. N. (2022). Learn to Machine Learn via Games in the Classroom. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.913530
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