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3rd International Conference on Education Development and Studies, ICEDS 2022 ; : 83-89, 2022.
Article in English | Scopus | ID: covidwho-1902118


Blended learning is an adaptive (and necessary) response adopted by most universities to face the challenges posed by the COVID-19 ongoing pandemic. Academic Learning Management Systems (ALMSs) played a strategic and pivotal role under high pressure. Online learning can occur by implementing integrated solutions embedded in the Academic portals or subscriptions to other videoconferencing solutions. Blending online and face-to-face teaching proved challenging from different perspectives. This approach has been considered essential to ensure an adequate level of service and avoid outflows of students, but it led to increased teaching workload, improved infrastructure, flexible pedagogic approach, enhanced technologies, specific training, and IT solutions development. The authors perform a SWOT analysis of blended learning, in a transnational Higher Education Context, to match the findings with the most relevant and critical challenges. The results, therefore, support the Information System analysis, focusing on one of the most widespread ALMSs. The case of Blackboard is finally considered, and some implementations are suggested. © 2022 Association for Computing Machinery. All rights reserved.

2nd International Conference on E-Business and E-Commerce Engineering, EBEE 2020 ; : 55-59, 2020.
Article in English | Scopus | ID: covidwho-1394226


Augmented reality (AR) is already part of the lives of thousands of people, in many different sectors. In addition to a change in current business models, the introduction of this technology in sports can greatly implement and improve fan engagement strategies and the fan experience in the world of e-sports. This research, starting from a concise but systematic literature review, analyses how mixed and augmented reality are providing a growing number of applications in the world of sport. Augmented reality is a technology that allows having a better perception of reality. This can help drive a vehicle, see obstacles that would otherwise not be noticed. Given that the nature of augmented reality makes it perfect for a dynamic sector such as sports, many applications can be identified in the sports field, however, many benefits can be identified: a) training for professionals and amateurs;b) marketing strategies and revenue diversifications for sports clubs;c) supporters' experience;d) supporters' engagement;e) valid and feasible alternative during pandemic outbreaks;f) measurement of sports results and sports assessment. Augmented reality has been introduced in the sports sector for a while. Many sports are exploiting the features of this new technology, by introducing apps for augmented reality that allow fans to get even closer to their beloved sport heroes. Cycling, football, fitness, cricket, winter sports many others, Apps to increase reality are developed in many different contexts, to experience a race, a match or simply to train with greater awareness, thus obtaining better results. © 2020 ACM.

ACM Int. Conf. Proc. Ser. ; : 28-32, 2020.
Article in English | Scopus | ID: covidwho-1028520


Since the dawn of time, man has always tried to predict the future. Inserted in an environmental context, the knowledge of the variables that influenced his life allowed him to reap daily benefits and ultimately ensured his survival. Weather forecasts, bets on sports results, financial analysis, estimation of life span probabilities, to name just a few examples, are based on increasingly accurate estimates thanks to increasingly efficient statistical techniques and detection tools. Risk and uncertainty, however, although increasingly limited, represent an essential variable of any future event. The possibility of measuring and preventing (even if close to their occurrence) unlikely, but potentially catastrophic events, can determine extraordinary competitive advantages or even just guarantee the survival of a business or human existence. Unlikely events, but catastrophic, are the so-called "black swans"[1], and represent the nightmare of those who rely on the Gaussian approach, since, even if they fall into the tails of the bell, they represent a non-negligible threat. Studies on the black swan, especially after the events linked to the outbreak of the COVID-19 pandemic, have brought to light the so-called fractal approach that comes closest to the occurrence of most natural events. The analysis of big data, focused on the identification of the black swan, can follow different paths, in any case, the "normal"Gauss curve, as demonstrated, does not lend itself to this type of analysis, therefore most of the statistical tools which are based on this are not suitable for these analyses. This research highlights and tries to demonstrate how the fractal approach, combined with quantum technology, could really represent a great advance in the reliability of future predictions and the detection of black swans. © 2020 ACM.