Archivio Istituzionale della Ricerca- Università degli Studi di Foggia
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SUPERARE LE BARRIERE CON L'INTELLIGENZA ARTIFICIALE OPPORTUNITÀ ESFIDE DEGLI INDIVIDUI CON DISABILITÀ
No full textArtificial Intelligence (AI) is emerging as a powerful ally in the challenge of improving the education and vocational inclusion of people with disabilities. It is intended to explore the crucial role of AI in breaking down educational and employment barriers by providing new opportunities for personalized and accessible learning.
Technologies such as AI-based virtual tutors and smart learning platforms can adapt to the specific needs of individuals with disabilities, providing personalized support during the educational journey. AI can facilitate automatic translation of learning materials, enabling students with language disabilities to fully participate in courses. However, challenges emerge, such as ensuring full accessibility to digital resources and the appropriate training to fully exploit the potential of AI in inclusive education. The present article article highlights, through scoping review work, the dual role of AI in overcoming educational and vocational barriers for individuals with disabilities, emphasizing the importance of investing in innovative solutions and promoting collaboration across sectors to create an equitable and accessible educational environment for all
Geografia dell'inclusione per la sostenibilità. Strategie, pratiche, esperienze a confronto
No full textSpectral phenotyping of agronomic and NUE traits in bread and durum wheat genotypes grown under two contrasting Mediterranean environments and different N fertilization strategies
No full textClimate variability and nitrogen (N) management are two of the main challenges facing wheat production. In this study, the effects of Mediterranean climate conditions, different N rates and sources on yield, quality and nitrogen use efficiency (NUE) have been investigated in relation to spectral phenotyping. NDVI measurements at different growing stages were carried out and data were put in relation to agronomic and NUE traits in a GxExM experimental framework including both bread and durum wheat. Plot experiments were carried out over two seasons (2019/2020 and 2021/2021) in two locations (North and South Italy), evaluating two durum (Antalis and Saragolla) and two bread (Solehio e Bologna) wheat varieties under four N rates (0, 80, 130 and 180 kg N ha− 1) and three N source (AN, ammonium nitrate; ASN, ammonium sulphate nitrate; ASNi, ammonium sulphate nitrate with nitrification inhibitor). Findings: show that environmental factors, particularly related to rainfall and temperatures, significantly impact agronomic traits. Higher yields were found in North Italy compared to the South (6.0 > 4.4 t ha− 1 on average),
where a better durum wheat genotypes adaptation and a higher protein content are highlighted (15.1 > 10.7 %). NUE, higher in North Italy, is not influenced by N source, while high yield cultivars showed an increased N
efficiency. This suggests that the potential benefits of the previous factors may depend on specific local conditions, with strong interaction with weather conditions. For these reasons, the selection of the appropriate genotypes for the specific environment represents one of the key points in wheat cultivation. Also, the higher yield in the North is associated with longer grain filling that influenced the number of grains per spike and the grain weight, together with a higher harvest index and allowed for better genotypic discrimination by grain protein deviation. Finally, NDVI at booting (about 1000 ◦C d) resulted a good predictor of grain yield and N uptake, while at later stages it better fitted with protein content. These observations obtained in a range of different growing conditions might be useful to define suitable indicators to be used to face climate change future
challenges
Atlante delle concentrazioni spaziali socio-economiche in Europa: una proposta
No full textL’obiettivo di questo volume è riflettere sulle interpretazioni e rappresentazioni delle concentrazioni spaziali socio-economiche in Europa, intese come configurazioni dinamiche e interconnesse, in cui il contesto territoriale e il sistema di relazioni sono fondamentali per lo sviluppo regionale. La metodologia sviluppata prevede diverse fasi, i cui risultati confluiscono nell'Atlante dinamico delle concentrazioni spaziali socio-economiche in Europa, strumento dinamico in quanto utilizza dati aggiornati confrontandoli nel tempo, offrendo in tal modo una lettura spaziale e multidimensionale delle dinamiche regionali
Accertamento del passivo e dei diritti dei terzi sui beni compresi nella liquidazione giudiziale (artt. 200-210 c.c.i.i.)
No full textEntrepreneurial well-being genetic components vs social-fmily elements in a family network
No full texthe aim of this work is to highlight that, even if there could be genetic components in being an entrepreneur, social and cognitive elements can positively favour and accelerate entrepreneurial psychological well- being.Through a theoretical approach the social and cognitive elements emerge as fundamental nodes of entrepreneurial well-being. Starting from the consideration that personal well-being determines a positive mood that activates some brain’s areas; this positive emotion circulates more rapidly in a family network because here are indissoluble bonds that no other group presents
Crafting knowledge block by block: A systematic review on the educational potential of Minecraft in schools
No full textMAB: UN METODO PER FACILITARE AUTONOMIA, RELAZIONI E APPRENDIMENTO IN CONTESTI DI ESCLUSIONE SOCIALE
No full textIl contributo esplora il Metodo Analogico di Camillo Bortolato (MAB) come approccio pedagogico innovativo per l’inclusione sociale in contesti di vulnerabilità. L’obiettivo è analizzare come il MAB promuova l’educazione in quanto atto di cura, valorizzando autonomia, relazione e apprendimento. La metodologia dell’articolo si basa su una revisione della letteratura e un caso studio. Le ricerche preliminari mostrano un impatto significativo del MAB sulle abilità numeriche, motivazione e attenzione, configurandosi come un approccio promettente e innovativo per un apprendimento efficace e inclusivo.
The contribution explores Camillo Bortolato’s Analogue Method (MAB) as an innovative pedagogical approach for social inclusion in vulnerable contexts. The aim is to analyse how MAB promotes education as an act of care, enhancing autonomy, relationship and learning. The methodology of the article is based on a literature review and a case study. Preliminary research shows a significant impact of MAB on numerical skills, motivation and attention, emerging as a promising and innovative approach for effective and inclusive learning