Archivio Istituzionale della Ricerca- Università degli Studi di Foggia
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Virtual English LAB: The Impact of Virtual Worlds on English Language Learning and Life Skills in Higher Education.
No full textThis study investigates the impact of immersive three-dimensional virtual
environments on language learning and professional skills development in
Higher Education. Grounded in constructivist and socio-cultural pedagogies,
the research explores the implementation of the English LAB Virtual World –
FrameVR-based educational platform – within two university-level English
language laboratory courses for future primary school teachers. Adopting a
quasi-experimental, mixed-methods design, the study analyzes learning
outcomes, motivation, life skills, and perceived usability through validated
tools: Cambridge Assessment-aligned tests (A2/B1), the MSLQ, the LiSST
scale, and the SUS questionnaire. The experimental group, engaged in
blended learning within the immersive environment, demonstrated
statistically significant improvements in grammar, vocabulary, listening, and
speaking skills (p < 0.001), alongside enhanced intrinsic motivation and
substantial growth in life skills domains such as critical thinking, collaboration, and self-efficacy. Correlational analyses revealed strong
associations between perceived usability, motivation, and transversal skills
development. Qualitative data from focus groups further confirmed the
transformative nature of immersive learning, emphasizing engagement,
agency, and collaborative dynamics. The findings support the potential of
Virtual Worlds to function not only as linguistic learning platforms but also as
pedagogical ecosystems for developing 21st-century competencies. This
research contributes to the evolving paradigm of the Eduverse, suggesting that
virtual environments – when purposefully designed and pedagogically
structured –can act as strategic enablers of inclusive, student-centered, and
transformative learning in Higher Education
Designing the future: AI tools and training support for entrepreneurship and human capital development
No full textValorising Whey: From Environmental Burden to Bio-Based Production of Value-Added Compounds and Food Ingredients
No full textCheese manufacturing generates large volumes of whey with high biochemical and chemical oxygen demand, historically treated as waste. Yet, whey is rich in lactose, proteins, and minerals that can be fractionated and upgraded into foods and bio-based products. During cheese production, 80% to 90% of the total volume is discarded as whey, which can cause severe pollution. However, milk by-products can be a natural source of high-value-added compounds and a cost-effective substrate for microbial growth and metabolites production. The current review focuses on cheese whey as a key milk by-product, highlighting its generation and composition, the challenges associated with its production, methods for fractionating whey to recover bioactive compounds, its applications in functional food development, the barriers to its broader use in the food sector, and its potential as a substrate for producing value-added compounds. Particularly, the focus was on the recent solutions to use cheese whey as a primary material for microbial fermentation and enzymatic processes, producing a diverse range of chemicals and products for applications in the pharmaceutical, food, and biotechnology industries. This review contributes to defining a framework for reducing the environmental impacts of whey through its application in designing foods and generating biomaterials
Integrazione dell’Intelligenza Artificiale e della Realtà Aumentata nel Corso di Laurea in Scienze della Formazione Primaria: prospettive e applicazioni.
No full textL’integrazione dell’Intelligenza Artificiale (IA) e della
Realtà Aumentata (AR) nell’istruzione universitaria apre
nuove possibilità per la creazione di esperienze di
apprendimento personalizzate, dinamiche e coinvolgenti.
Questa sinergia tra IA e AR offre opportunità senza
precedenti per migliorare l’esperienza di apprendimento
degli studenti attraverso modalità innovative e
coinvolgenti. L’IA, con la sua capacità di analisi dei dati,
personalizzazione dell'apprendimento e creazione di
esperienze educative su misura, offre strumenti avanzati
per ottimizzare i processi di insegnamento e
apprendimento. Attraverso l’analisi predittiva e la
raccomandazione intelligente di contenuti, l’IA può
consentire l’adattamento degli ambienti di
apprendimento alle esigenze specifiche degli studenti,
migliorando così l'efficacia dell'insegnamento. D’altra
parte, la Realtà Aumentata offre un'esperienza immersiva
che integra elementi virtuali nel mondo reale, creando
contesti educativi interattivi e coinvolgenti. Attraverso
l’AR, gli studenti possono esplorare concetti complessi in
modo pratico e visuale, accedendo a informazioni
contestualizzate e interattive direttamente dal proprio
ambiente di apprendimento.
Il presente contributo analizza le potenzialità e le criticità
dell’implementazione di IA e AR nel contesto
dell’istruzione superiore. La ricerca approfondisce, in
particolare, il ruolo di queste tecnologie emergenti nella
personalizzazione dei percorsi didattici, esaminando le
modalità attraverso cui gli insegnanti possono integrarle
efficacemente nei processi educativi. Nello specifico, si
presenta un’analisi empirica condotta presso il Corso di
Laurea Magistrale in Scienze della Formazione Primaria
dell’Università degli Studi di Palermo, finalizzata a
promuovere un approccio consapevole all'utilizzo di
ChatGPT e applicazioni AR nel contesto formativo.
Mediante la disamina di casi di studio ed esperienze sul
campo, vengono esplorati gli impatti, le opportunità e le
sfide metodologiche derivanti dall’adozione sinergica di
questi strumenti tecnologici. Sebbene le sperimentazioni
condotte si riferiscano all’uso separato di IA e AR, si configurano tuttavia come fasi preliminari esplorative per
la progettazione futura di un intervento formativo
integrato che valorizzi sinergicamente IA e AR nella
didattica universitaria
Lo sviluppo di abilità numeriche e aritmetiche nei bambini: l’elaborazione di quantità simboliche e non simboliche
No full textIndagine antropologica e analisi chimico-fisiche applicate nei contesti funerari della Capitanata medievale: contributo alla ricostruzione del popolamento
No full textLa presente ricerca propone un’indagine multidisciplinare sui contesti funerari medievali della
Capitanata, con l’obiettivo di ricostruire le dinamiche insediative, biologiche e culturali delle
popolazioni che hanno abitato quest’area della Puglia settentrionale tra l’età bizantina e il tardo
medioevo. Lo studio si è concentrato sui resti scheletrici umani provenienti da tre siti archeologici
selezionati per la loro rilevanza storica e la varietà dei sistemi insediativi e funerari: Montecorvino,
San Lorenzo in Carmignano e Canne della Battaglia.
Il progetto adotta un approccio integrato che combina metodologie archeologiche, antropologiche e
chimico-fisiche, al fine di analizzare le pratiche funerarie, ricostruire il profilo demografico, valutare
le condizioni di vita e di salute degli individui e interpretare le dinamiche socio-culturali e ambientali.
Particolare attenzione è stata dedicata anche all’impiego di tecniche avanzate, come la datazione al
radiocarbonio, le analisi isotopiche e lo studio dei micro-resti vegetali, che hanno consentito di
acquisire dati preziosi relativi alla cronologia, all’alimentazione, alla mobilità e al paesaggio
circostante.
L’interpretazione critica dei dati, integrata con il quadro archeologico di riferimento, ha permesso di
restituire una visione complessa e articolata delle comunità analizzate, favorendo una comprensione
approfondita delle interazioni tra fattori biologici, culturali e ambientali.
Inoltre, lo studio evidenzia l’importanza di un approccio interdisciplinare, dimostrando come le
indagini bioarcheologiche possano offrire prospettive innovative per la ricostruzione delle società del
passato
Effects of dehydration temperature on physico-chemical, antioxidant and antimicrobial properties of grape pomace powder
No full textEarly Intensive Versus Escalation Approach: Ten-Year Impact on Disability in Relapsing Multiple Sclerosis
No full textObjective: To evaluate the long-term impact of early intensive treatment (EIT) versus escalation (ESC) strategies using high-efficacy disease-modifying therapies (HE-DMTs) on disability progression in relapsing multiple sclerosis (RMS). Methods: This observational study included 4878 RMS patients from the Italian Multiple Sclerosis Register. Eligible partici- pants initiated their first disease-modifying therapy (DMT) within 3years of disease onset and had ≥5years of follow-up with at least three Expanded Disability Status Scale (EDSS) evaluations. Patients were categorized into the EIT group if they started with HE-DMTs and into the ESC group if HE-DMTs were initiated after ≥ 1 year of moderate-efficacy therapy. Propensity score matching was performed to balance baseline characteristics. Outcomes included disability trajectories assessed using linear mixed models for repeated measures and risks of confirmed disability accrual (CDA), progression independent of relapse activity (PIRA), and relapse-associated worsening (RAW) evaluated using Cox proportional hazards models.
Results: Post-matching analysis of 908 pairs revealed significantly slower disability progression in the EIT group compared to the ESC group. At 10years, the delta-EDSS difference between groups was −0.63 (95% CI: −0.83 to −0.43; p<0.0001). ESC was associated with higher risks of CDA (HR 1.36, 95% CI: 1.20–1.54; p < 0.0001), PIRA (HR 1.22, 95% CI: 1.05–1.40; p = 0.0074), and RAW (HR 1.55, 95% CI: 1.17–2.05; p = 0.0021).
Interpretation: EIT significantly reduces long-term disability progression in RMS compared to ESC. These findings underscore the potential of EIT to optimize long-term outcomes in RMS patients
Abstract Book of the VI International Conference on Quality, Innovation and Sustainability - ICQIS2025
No full textThis paper presents a framework for diagnosing Small and Medium-sized Enterprises (SMEs) within the innovation ecosystem fostered by the Grant Office Service of the University of Foggia (GOS-Unifg). Building upon best practices and experience gained by GOS-Unifg and similar frameworks used within the Italian university system, this proposed framework utilizes three questionnaires: assessment of industrial property, propensity for investment and Artificial Intelligence adoption, and managerial performance related to SME innovation capability.
The framework identifies key indicators and managerial aspects of innovation, culminating in a composite coefficient of SME innovation propensity. This diagnostic tool can be used to evaluate an SME's potential for participation in the GOS-Unifg innovation ecosystem. The resulting diagnosis informs the development of tailored managerial tools, including recommendations, company policies, managerial objectives and strategies, and training and capacity-building initiatives.
This approach represents the foundation for a qualitative-quantitative Observatory leveraging advanced data analysis tools (e.g., artificial intelligence, machine learning) to develop predictive analyses. These analyses aim to optimize the effectiveness and efficiency of the implemented managerial tools. Future research will expand the framework to include an initial company scouting phase and a final phase focused on fostering long-term engagement within the innovation ecosystem. Further research will also involve testing the framework and determining appropriate weightings for the identified managerial aspects and related tools