1,720,974 research outputs found
A semantic approach implemented in a system recommending resources for cultural heritage tourism
No full textIn the last few years the tourism industry has profoundly changed. Today, a large number of tourists use the internet to find destinations, itineraries, services or travel packages, rather than asking experts in the field. For this reason, Information and Communication Technologies play an important role in tourism promotion. In particular, recommendation systems are interesting because they are able to offer more appropriate support than traditional search engines to the user seeking places to visit. Recommendation systems, in fact, are able to suggest a personalised set of options according to the user’s needs and preferences. But, as widely recognized in the literature, with these systems the quality of the recommendation is closely linked to the description of both resources and users. For them to become effective tools for promoting the knowledge, culture and traditions of a territory, it is necessary to integrate semantic information into the descriptions of resources, that can capture relationships among them. In this way, it is possible to enrich the list of recommendations by adding those resources which, although not explicitly related to the user’s request, have some semantic relationships with those included in the list. This can help to promote the discovery of new scenarios and the spread of knowledge about the cultural heritage of a territory. In this scenario, the paper presents a semantic approach amplifying cultural resources recommendations. This approach was used to enrich the list of recommendations of CulTuRek, a system that promotes the exploration of tangible and intangible cultural heritage in the Apulia Region
Smart learning environment per l'empowerment del paziente
No full textL’ideazione di ambienti di apprendimento innovativi è vitale per rispondere alle emergenti sfide della formazione nel contesto della salute e del benessere. Gli Smart Learning Environment possono offrire esperienze di apprendimento coinvolgenti e motivanti per l’acquisizione di competenze e conoscenze anche in ambienti informali. L’articolo presenta uno Smart Learning Environment che coniuga gli approcci pedagogici del social learning e della gamification con quello tecnologico dei sistemi di raccomandazione per offrire un ambiente di apprendimento coinvolgente finalizzato all’empowerment del paziente
Adaptive E-learning environments: Research dimensions and technological approaches
No full textOne of the most closely investigated topics in e-learning research has always been the effectiveness of adaptive learning environments. The technological evolutions that have dramatically changed the educational world in the last six decades have allowed ever more advanced and smarter solutions to be proposed. The focus of this paper is to depict the three main dimensions that have driven research in the e-learning field and the evolution of the technological approaches adopted for the purposes of building advanced educational environments for distance learning. Then, the three different approaches adopted by the authors are discussed; these consist of a multi-agent system, an adaptive SCORM compliant package and an e-learning recommender system
Digitally enhanced assessment in virtual learning environments
Get PDFOne of the main challenges in teaching and learning activities is the assessment: it allows teachers and learners to improve the future activities on the basis of the previous ones. It allows a deep analysis and understanding of the whole learning process. This is particularly difficult in virtual learning environments where a general overview is not always available. In the latest years, Learning Analytics are becoming the most popular methods to analyze the data collected in the learning environments in order to support teachers and learners in the complex process of learning. If they are properly integrated in learning activities, indeed, they can supply useful information to adapt the activities on the basis of student’s needs. In this context, the paper presents a solution for the digitally enhanced assessment. Two different Learning Dashboards have been designed in order to represent the most interesting Learning Analytics aiming at providing teachers and learners with easy understandable view of learning data in virtual learning environments
Genòmena: a Knowledge-Based System for the Valorization of Intangible Cultural Heritage
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Explainable artificial intelligence and microbiome data for food geographical origin: the Mozzarella di Bufala Campana PDO Case of Study
Get PDFIdentifying the origin of a food product holds paramount importance in ensuring food safety, quality, and authenticity. Knowing where a food item comes from provides crucial information about its production methods, handling practices, and potential exposure to contaminants. Machine learning techniques play a pivotal role in this process by enabling the analysis of complex data sets to uncover patterns and associations that can reveal the geographical source of a food item. This study aims to investigate the potential use of explainable artificial intelligence for identifying the food origin. The case of study of Mozzarella di Bufala Campana PDO has been considered by examining the composition of the microbiota in each samples. Three different supervised machine learning algorithms have been compared and the best classifier model is represented by Random Forest with an Area Under the Curve (AUC) value of 0.93 and the top accuracy of 0.87. Machine learning models effectively classify origin, offering innovative ways to authenticate regional products and support local economies. Further research can explore microbiota analysis and extend applicability to diverse food products and contexts for enhanced accuracy and broader impact
Smart learning environments using social network, gamification and recommender system approaches in e-health contexts
No full textThe fundamental role that ICT plays in the process of modernization of education and training, whether in formal or informal, is now universally recognized. The lifelong learning become increasingly urgent in many areas such as, for example, adult education, innovation and learning in the workplaces, health & wellbeing, cultural heritage, and so on. This requires the creation of learning paths cantered on the specific needs of the individual, for the development of skills and abilities as well as for the acquisition of content. Re-inventing the ecosystem training and re-strengthen the teaching and learning in the digital age, through practices more open and innovative in order to create learning experiences richer, engaging and motivating, is a priority. The article presents some solutions of smart learning environment in e-health domain that combines pedagogical approaches of social learning and game-based learning with technological approaches of the social network and recommender systems in order to provide engaging learning experiences
Harnessing Digital Twins for Sustainable Agricultural Water Management: A Systematic Review
No full textThis systematic review explores the use of digital twins (DT) for sustainable agricultural water management. DTs simulate real-time agricultural environments, enabling precise resource allocation, predictive maintenance, and scenario planning. AI enhances DT performance through machine learning (ML) and data-driven insights, optimizing water usage. In this study, from an initial pool of 48 papers retrieved from well-known databases such as Scopus and Web of Science, etc., a rigorous eligibility criterion was applied, narrowing the focus to 11 pertinent studies. This review highlights major disciplines where DT technology is being applied: hydroponics, aquaponics, vertical farming, and irrigation. Additionally, the literature identifies two key sub-applications within these disciplines: the simulation and prediction of water quality and soil water. This review also explores the types and maturity levels of DT technology and key concepts within these applications. Based on their current implementation, DTs in agriculture can be categorized into two functional types: monitoring DTs, which emphasize real-time response and environmental control, and predictive DTs, which enable proactive irrigation management through environmental forecasting. AI techniques used within the DT framework were also identified based on their applications. These findings underscore the transformative role that DT technology can play in enhancing efficiency and sustainability in agricultural water management. Despite technological advancements, challenges remain, including data integration, scalability, and cost barriers. Further studies should be conducted to explore these issues within practical farming environments
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