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refugee education
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7 articles
Article 11 Jan 2026
John C. G. Lee, Yeney Widya Prihatiningtias, Febryanti Simon and Samantha Siu Ling Lee
Indonesia’s National Free Meals Programme (NFMP) faces systemic challenges of fragmented implementation across agricultural, educational, and logistical sectors. These systemic challenges are compounded by inequitable reach in its archipelagic geography, where rural infrastructure gaps exacerbate disparities.
Indonesia’s National Free Meals Programme (NFMP) faces systemic challenges of fragmented implementation across agricultural, educational, and logistical sectors. These systemic challenges are compounded by inequitable reach in its archipelagic geography, where rural infrastructure gaps exacerbate disparities. This study examines these issues through an integrated theoretical framework—combining Policy Transfer, Multi-stakeholder Governance, and Sustainable Livelihoods theories—using a mixed-methods approach that synthesises global policy benchmarks, peer-reviewed literature, and Sustainable Development Goal (SDG) alignment metrics. Key findings identify governance fragmentation, supply chain inefficiencies (notably 15–20% food spoilage in eastern regions), and digital divides as critical constraints. The research proposes a three-tiered intervention framework: (1) geospatially tailored procurement mechanisms; (2) incentivised corporate partnerships for cold-chain infrastructure; and (3) co-created R&D for climate-resilient crops. These strategies synergistically advance SDG 1 (Poverty Reduction), SDG 2 (Zero Hunger), and SDG 4 (Quality Education), demonstrating potential for farmer income gains, reduced child stunting, and improved school attendance. The study contributes to theoretical debates on adaptive policy transfer and offers Indonesia a scalable blueprint for integrated food-security transformation in archipelagic contexts.
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Article 23 Dec 2025
Waleed Mugahed Al-Rahmi
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 329–352
Volume 4 (2025), Issue 4, pp. 329–352
258 Views57 Downloads
Article 4 Dec 2025
Aivars Spilbergs, Biruta Dzērve, Sandra Ozoliņa, Gunta Innuse-Breidaka, Tatjana Mavrenko, Laima Čable, Agnese Vincēviča, Biruta Sloka, Ginta Tora and Kristīne Liepiņa
This study examines the primary risks associated with using generative artificial intelligence (GAI) in social science research and proposes a framework for higher education institutions to effectively manage these risks. As universities increasingly integrate GAI into
This study examines the primary risks associated with using generative artificial intelligence (GAI) in social science research and proposes a framework for higher education institutions to effectively manage these risks. As universities increasingly integrate GAI into teaching, research, and administration, concerns around intellectual property, academic integrity, data privacy, and ethical use have intensified. This paper explores the adequacy of current legal frameworks in addressing these challenges, drawing on recent legal analyses and institutional practices. Survey data reveal statistically significant differences in perceptions of the need for GAI guidelines based on respondents’ age, education level, field of study, research experience, and geographic region. The findings underscore the urgency of developing adaptive, risk-based policies that support responsible integration of GAI while safeguarding academic standards. The study concludes by proposing guiding principles for a dynamic legal framework that balances innovation with accountability. These recommendations aim to support sustainable and ethical GAI adoption in higher education institutions and contribute to the broader discourse on responsible AI governance in academia.
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Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 285–298
Volume 4 (2025), Issue 4, pp. 285–298
578 Views392 Downloads
Article 31 May 2025
Vassilios Makrakis, Nelly Kostoulas-Makrakis, Omar Ramzy and Mohammed Anwar
Increasing numbers of refugee children enter host countries’ public schools. Yet, most refugee children’s education is carried out through refugee community schools, mainly by unqualified teachers. This study examines critical elements impacting teacher training satisfaction, emphasizing
Increasing numbers of refugee children enter host countries’ public schools. Yet, most refugee children’s education is carried out through refugee community schools, mainly by unqualified teachers. This study examines critical elements impacting teacher training satisfaction, emphasizing instructors’ preparedness and skill, and the effectiveness of training outcomes within a post-graduate program to improve education for refugee children. It supports the Sustainable Development Goals (SDGs), especially SDG10, which calls for lowering inequality, and SDG4, which strongly emphasizes high-quality education. A sizable sample of 306 out of 386 individuals who had finished the RefTeCp capacity-building program participated in the study. These people worked in various educational environments, such as community schools for refugees and private establishments. The study guaranteed its legitimacy through a thorough reliability analysis and content evaluation. Multiple regression techniques were used in data analysis to identify the crucial factors influencing teacher training satisfaction. According to key findings, the efficiency of teaching materials and instructors’ abilities to manage blended learning environments substantially correlate and explain teacher training satisfaction. The study’s results highlight several essential facets of teacher professional development, such as focusing on suitable high-quality blended learning materials and resources to improve refugee students’ learning needs and experiences. Continuing teacher capacity-building interventions, and allowing refugee teachers to participate, can significantly contribute to reducing inequities and, ultimately, to a more equitable and just society.
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Highlights of Sustainability
Volume 4 (2025), Issue 2, pp. 146–157
Volume 4 (2025), Issue 2, pp. 146–157
2052 Views348 Downloads
Article 16 Apr 2025
Enrique Javier Díez Gutiérrez, Luisa María García Salas, Sara Aguilar Moya, Kelly Romero Acosta, Antonio Pérez Robles, José Jesús Trujillo Vargas, Ignacio Perlado Lamo de Espinosa and Luis Miguel Mateos Toro
Highlights of Sustainability
Volume 4 (2025), Issue 2, pp. 108–121
Volume 4 (2025), Issue 2, pp. 108–121
2132 Views609 Downloads
Article 30 May 2024
Aristotelis Martinis, Maria Kaloutsa and Katerina Kabassi
Highlights of Sustainability
Volume 3 (2024), Issue 2, pp. 255–274
Volume 3 (2024), Issue 2, pp. 255–274
3251 Views2084 Downloads5 Citations
Article 7 Mar 2023
Olaniran Anthony Thompson, Agbotiname Lucky Imoize and Taiwo Timothy Amos
Highlights of Sustainability
Volume 2 (2023), Issue 1, pp. 35–49
Volume 2 (2023), Issue 1, pp. 35–49
3739 Views1218 Downloads3 Citations
Article 7 Mar 2023
Olaniran Anthony Thompson, Agbotiname Lucky Imoize and Taiwo Timothy Amos
The study determined the critical variables inducing the choice of mitigation and adaptation methods adopted by the Small and Medium Scale Enterprises (SMEs) against the effect of climate change on their enterprises in Southwest Nigeria. A
The study determined the critical variables inducing the choice of mitigation and adaptation methods adopted by the Small and Medium Scale Enterprises (SMEs) against the effect of climate change on their enterprises in Southwest Nigeria. A multistage sampling procedure was employed to choose 200 SMEs Managers/Chief Executive Officers (100 mitigating climate change and 100 not mitigating) as respondents for the study. Descriptive statistics and a multinomial regression model were employed to investigate the data collected. The findings show that the mean age of Managers/CEOs mitigating climate change was 41.8 years, and the level of education of climate change mitigating Managers/CEOs (80.0%) was significantly different from the non-mitigating (50.0%). The net profit margin ratio for the mitigating SMEs was 32.04%, and 17.83% for the non-mitigating SMEs. The multinomial logit model showed that income, enterprise experience, access to credit, enterprise size, and enterprise type significantly induced the choice of climate change mitigation approaches used by the SMEs in the study area. The study suggested that government and Non-Governmental Organizations (NGOs) should assist SMEs by enhancing their income-generating ability to ameliorate the impact of climate alteration over the years on their enterprises.
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Highlights of Sustainability
Volume 2 (2023), Issue 1, pp. 35–49
Volume 2 (2023), Issue 1, pp. 35–49
3739 Views1218 Downloads3 Citations
Volume 5 (2026), Issue 1, pp. 1–14