De samenleving verandert en digitalisering gaat een steeds grotere rol spelen (OECD, 2016, 2019; Schwab, 2016). Studenten aan de HU zullen in hun beroep andere (basis-)vaardigheden op het gebied van rekenen, wiskunde en statistiek nodig hebben om de complexe problemen van de werkvloer aan te pakken dan vroeger (Tout et al., 2017). Hoe gaan opleiders in het HU-onderwijs daarmee om? Welke problemen en dilemma’s duiken daarbij op en welke goede voor-beelden zijn er binnen de HU die met anderen gedeeld kunnen worden? Deze vragen speelden bij het lectoraat Didactiek van Rekenen en Wiskunde, onderdeel van het Kenniscentrum Leren en Innoveren. Ze vormden de aanleiding voor een onderzoek naar de stand van zaken binnen de reken-, wiskunde- en statistiekvakken. De volgende onderzoeksvragen vormden de rode draad van het onderzoek: Hoe gaat men om met de verhouding tussen basisvaardigheden en hogere orde vaardigheden? Gebruiken opleiders ICT in hun lessen? En in hoeverre is er discussie over wat studenten handmatig moeten kunnen en wat zij mogen uitbesteden aan een tool? Welke rol spelen (digitale) tools bij toetsen?
Technological developments have a major impact on how we live, work and learn together. Several authors refer to a fourth revolution in which robots and other intelligent systems take over an increasing number of the current (routine) tasks carried out by humans (Brynjolfsson & McAfee, 2014; Est et al., 2015; Ford, 2016; Helbing, 2014; Ross, 2017; Schwab, 2016). The relationship between man and machine will change fundamentally as a result. We are already noticing this shift, most specifically in the workplace. E.g., in the field of health care, digitalisation and robotisation can empower patients and their families. Hospitals are primarily intended for clients with complex care needs. This has consequences for the tasks carried out by nurses, who become more of a ‘care director’ or ‘research nurse’. Hospitals approach this in different ways, resulting in considerable diversity as to how these roles are fulfilled. These changes, albeit diverse, can also be seen in the roles of accountants, police officers and financial advisers at banks (Biemans, Sjoer, Brouwer and Potting, 2017). The traditional occupational profiles no longer exist and the essence of these professions is shifting. This does not make such occupations less attractive, but requires different qualities. The demand for more highly educated professionals who can carry out complex tasks in a creative and interdisciplinary manner will increase (McKinsey, 2017). Also, other social developments, such as migration and greenification, prompt us to ask new questions, resulting in new paths towards identifying solutions.
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Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.
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ILIAD builds on the assets resulting from two decades of investments in policies and infrastructures for the blue economy and aims at establishing an interoperable, data-intensive, and cost-effective Digital Twin of the Ocean (DTO). It capitalizes on the explosion of new data provided by many different earth sources, advanced computing infrastructures (cloud computing, HPC, Internet of Things, Big Data, social networking, and more) in an inclusive, virtual/augmented, and engaging fashion to address all Earth Data challenges. It will contribute towards a sustainable ocean economy as defined by the Centre for the Fourth Industrial Revolution and the Ocean, a hub for global, multi-stakeholder co-operation.
