Knowledge development, technology and quality of experience in collaborative learning: a perspective from Saudi Arabia universities.

Technology has recently gained relevance within collaborative learning environments to provide robustness, agility and flexibility. Several recent studies have investigated the role of technology, as well as researchers have defined different metrics to assess learning outcomes and experience along the collaborative knowledge development process. More recently, technology has played a key role to face the new challenges related to COVID-19, which forced to move on remote or hybrid learning. This research focuses on the quality of learning experience in terms of academic performance and perceived satisfaction. From a methodological point of view, a conceptual framework has been proposed and a quantitative study has been conducted among undergraduate and postgraduate students that are undertaking programs related to System Design in Saudi Arabia universities. 152 responses have been collected through an online survey and analysed using SPSS and SmartPLS. Results show a positive impact of technology along the collaborative knowledge development process and a strong correlation among the different quality of learning experience parameters considered. Indeed, despite some challenges, an integrated use of technology seems to properly support the most pressing needs in terms of quality experience, while the well-known social/educational issues related to the COVID-19 pandemic are not object of this study. Those findings are expected to contribute to the Saudi Arabia's vision 2030 and, more holistically, to the assessment of collaborative learning environments that extensively rely on technology.

Holistic Resilience Index: measuring the expected country resilience to pandemic.

This study aims to holistically measure the expected resilience of the different countries to a global pandemic like COVID-19. The proposed indicator has been designed looking at the direct and indirect impact of the COVID-19 pandemic on our society at different levels, including health and socio-economic aspects. More concretely, the resulting index has been produced by combining 11 different indicators grouped in five categories. It is actually composed of two sub-indicators that aim to measure the expected resilience according, respectively, to the data available in a given moment and to a period of development. The former sub-indicator depends on the actual values of the underpinning indicators, while the latter takes into account only their variation in a given time. In this paper we address 22 countries among the most affected by COVID-19, looking at recent pre-pandemic data and at the development in the past 20 years. As expected, the combination of the two methods determines contrasting results but also a more comprehensive analysis framework. As part of the lesson learnt, we do expect countries to prioritise the increasing of their holistic resilience to situations of pandemic.

Life before COVID-19: how was the World actually performing?

The COVID-19 pandemic has suddenly and deeply changed our lives in a way comparable with the most traumatic events in history, such as a World war. With millions of people infected around the World and already thousands of deaths, there is still a great uncertainty on the actual evolution of the crisis, as well as on the possible post-crisis scenarios, which depend on a number of key variables and factors (e.g. a treatment, a vaccine or some kind of immunity). Despite the optimism enforced by the positive results recently achieved to produce a vaccine, uncertainty is probably still somehow the predominant feeling. From a more philosophical perspective, the COVID-19 drama is also a kind of stress-test for our global system and, probably, an opportunity to reconsider some aspects underpinning it, as well as its sustainability. In this article we focus on the pre-crisis situation by combining a number of selected global indicators that are likely to represent measures of different aspects of life. How was the World actually performing? We have defined 6 macro-categories and inferred their relevance from different sources. Results show that economic-oriented priorities correspond to positive performances, while all other distributions point to a negative performance. Additionally, balanced and economy-focused distributions of weights propose an optimistic interpretation of performance regardless of the absolute score.

Cloud computing for context-aware enhanced m-Health services.

m-Health services are increasing its presence in our lives due to the high penetration of new smartphone devices. This new scenario proposes new challenges in terms of information accessibility that require new paradigms which enable the new applications to access the data in a continuous and ubiquitous way, ensuring the privacy required depending on the kind of data accessed. This paper proposes an architecture based on cloud computing paradigms in order to empower new m-Health applications to enrich their results by providing secure access to user data.

Ambient Assisted Living spaces validation by services and devices simulation.

The design of Ambient Assisted Living (AAL) products is a very demanding challenge. AAL products creation is a complex iterative process which must accomplish exhaustive prerequisites about accessibility and usability. In this process the early detection of errors is crucial to create cost-effective systems. Computer-assisted tools can suppose a vital help to usability designers in order to avoid design errors. Specifically computer simulation of products in AAL environments can be used in all the design phases to support the validation. In this paper, a computer simulation tool for supporting usability designers in the creation of innovative AAL products is presented. This application will benefit their work saving time and improving the final system functionality.