AI in Education: A Cross-National Study of Open Schooling Using the CARE-KNOW-DO Framework for Sustainable Development Goals.

Author:

Okada Alexandra1,Sherborne Tony2,Panselinas Giorgos3,Kolionis Georgios4

Affiliation:

1. The Open University

2. Mastery Science

3. Hellenic Open University

4. EXUS AI Lab

Abstract

Abstract This cross-national mixed-methods study examines transversal skills views of 330 underserved secondary school students from the UK, Greece, and Brazil. This work validates a new self-reported instrument with AI-based open schooling activities within the CARE-KNOW-DO framework. This study combines quantitative and qualitative analyses to evaluate pedagogical strategies' effectiveness in nurturing vital 21st-century skills. The findings highlight seven key components: proactive exploration, problem solving, scientific citizenship, science connection, affective engagement, science participation, and future prospects. This study emphasizes the importance of customized educational approaches to suit cultural and age differences, promoting flexible curricula and innovative teaching methods. This research aligns with Agenda 2030, aiming to enhance global educational strategies through open schooling initiatives for sustainable and inclusive education.

Publisher

Research Square Platform LLC

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4. Bedsted, B., Gram, S., Jørgensen, M. L., & Klüver, L. (2015). WWViews on biodiversity: New methodological developments and ambitions. Governing biodiversity through democratic deliberation (pp. 27–40). Routledge.

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