Integrating AI into Accelerated Bridge Programs for Out-of-School Learners

According to UNESCO's latest data, the global education faces challenges, with 250 million children out of school. The COVID-19 pandemic, economic inequalities, regional conflicts, and systemic barriers to education access have exacerbated the crisis. Despite recovery efforts, progress remains uneven, with many families prioritizing immediate needs over education. An innovative educational approach, called Speed schools, has emerged, particularly in Ethiopia, to raise students' academic performance. These schools condense a conventional three-year curriculum into a ten-month program, resulting in significant improvements in literacy and numeracy compared to traditional schooling methods. The ‘boost’ Speed School students receive from the Speed School instruction does not only bring many of them up to the standard of their peers but also gives them some advantage over the majority, in terms of their persistence and commitment to learn. Empirical research demonstrates that graduates of Speed School programs exhibit increased self-confidence and adaptability within the formal education system, facilitating their integration into state schools following program completion. This paper examines integrating Artificial Intelligence (AI) into a customized Speed School program for school-age out-of-school learners in Greece. The proposed AI integration aims to personalize learning through AI-supported diagnostic assessment, adaptive learning pathways, interactive games, and progress monitoring. A pilot project will evaluate the Speed School model's effectiveness in Greece, focusing on linguistic, cultural, and educational adaptations. Furthermore, the study estimates learning outcome, participation, and teacher attitudes towards AI.

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Publication Details

Journal
International Journal on Research in STEM Education
Published
2025-11-07
DOI
https://doi.org/10.33830/ijrse.v7i2.1793
Primary Topic
Teaching and Learning Programming
Type
article
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article

Integrating AI into Accelerated Bridge Programs for Out-of-School Learners

Dimitrios Lazaris, Ourania Maggina, Vasiliki Ntai, Vasiliki Papa
International Journal on Research in STEM Education
Teaching and Learning Programming
article

Integrating AI into Accelerated Bridge Programs for Out-of-School Learners

Dimitrios Lazaris, Ourania Maggina, Vasiliki Ntai, Vasiliki Papa
article en

Abstract

According to UNESCO's latest data, the global education faces challenges, with 250 million children out of school. The COVID-19 pandemic, economic inequalities, regional conflicts, and systemic barriers to education access have exacerbated the crisis. Despite recovery efforts, progress remains uneven, with many families prioritizing immediate needs over education. An innovative educational approach, called Speed schools, has emerged, particularly in Ethiopia, to raise students' academic performance. These schools condense a conventional three-year curriculum into a ten-month program, resulting in significant improvements in literacy and numeracy compared to traditional schooling methods. The ‘boost’ Speed School students receive from the Speed School instruction does not only bring many of them up to the standard of their peers but also gives them some advantage over the majority, in terms of their persistence and commitment to learn. Empirical research demonstrates that graduates of Speed School programs exhibit increased self-confidence and adaptability within the formal education system, facilitating their integration into state schools following program completion. This paper examines integrating Artificial Intelligence (AI) into a customized Speed School program for school-age out-of-school learners in Greece. The proposed AI integration aims to personalize learning through AI-supported diagnostic assessment, adaptive learning pathways, interactive games, and progress monitoring. A pilot project will evaluate the Speed School model's effectiveness in Greece, focusing on linguistic, cultural, and educational adaptations. Furthermore, the study estimates learning outcome, participation, and teacher attitudes towards AI.

International Journal on Research in STEM EducationVol. 7(2)
University of Patras (GR), Technological Educational Institute of Central Greece (GR), Social Insurance Institute (GR), Development Agency of Karditsa (GR)
Openalex Percentile: Top 64%
Teaching and Learning Programming
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Integrating AI into Accelerated Bridge Programs for Out-of-School Learners — Dimitrios Lazaris, Ourania Maggina, et al. · International Journal on Research in STEM Education (2025) | TGRS Research Map | TGRS