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Keyword: machine learning
Total 5 articles
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. or Access Full Article
Highlights of Sustainability
Volume 4 (2025), Issue 2, pp. 146–157
258 Views56 Downloads
Article    7 March 2025
Andreas Plesner, Allan P. Engsig-Karup and Hans True
Highlights of Vehicles
Volume 3 (2025), Issue 1, pp. 1–14
640 Views170 Downloads
Article    2 May 2024
Michael Benson
Highlights of Sustainability
Volume 3 (2024), Issue 2, pp. 184–204
1624 Views599 Downloads
Article    20 December 2023
Mouna Samaali, El-Hassane Aglzim, Xavier Dessertenne and Patrick Dubreuille
This article is part of the Special Issue Feature Papers to the Inaugural Volume of Highlights of Vehicles.
Highlights of Vehicles
Volume 1 (2023), Issue 2, pp. 68–85
1766 Views626 Downloads
Article    17 June 2023
Wan-Ju Chen, Rong-Ho Lin and Chun-Ling Chuang
This article is part of the Special Issue Capturing the Sustainable Impact of Early-Stage Business Models.
Highlights of Sustainability
Volume 2 (2023), Issue 2, pp. 110–137
2758 Views754 Downloads1 Citations
Article    17 June 2023
Wan-Ju Chen, Rong-Ho Lin and Chun-Ling Chuang
Achieving net-zero carbon emissions by 2050 has become a common goal in the world. An effective strategy to reduce carbon emissions will be the key to maintaining international competitiveness. Although green energy exchange is mature around Achieving net-zero carbon emissions by 2050 has become a common goal in the world. An effective strategy to reduce carbon emissions will be the key to maintaining international competitiveness. Although green energy exchange is mature around the world, the relevant systems and regulations in Taiwan are not yet ready. This research examines the feasibility of shoemaking machines remanufacturing and tries to seek effective strategies to achieve carbon neutrality for the original equipment manufacturers (OEMs) of shoemaking machines. The evaluation of remanufacturing in a shoemaking machine is based on imprecise and fuzzy information. First, the feasibility evaluation model of remanufacturing in a shoemaking machine is established, including technical, economic, and resource environment feasibility criteria. Second, the comprehensive benefit evaluation model of the remanufacturing shoemaking machine is established, in which the weight of each criterion is determined by the Analytic Hierarchy Process (AHP). Finally, combined with the questionnaire, the evaluation method is verified and analyzed. The results show that the four criteria (clusters) for remanufacturing shoemaking machines have different weights, in descending order: Product design, Business model, Recycling system, and Corporate image. This implies that Product design is the most important factor for remanufacturing shoemaking machines, followed by the Business model, Recycling system, and Corporate image. Therefore, to succeed in the circular economy, OEMs need to rethink how to redesign their products from the beginning and create a new business model. or Access Full Article
This article is part of the Special Issue Capturing the Sustainable Impact of Early-Stage Business Models.
Highlights of Sustainability
Volume 2 (2023), Issue 2, pp. 110–137
2758 Views754 Downloads1 Citations
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