The presence of technology on college campuses has increased rapidly in recent years. Students come to the classroom with a variety of technological devices including smart phones, tablets, or laptops and use them during academic activity. For this reason, there are many researchers who, in recent times, have been interested in the problems derived from digital distraction in higher education. In many cases, researchers have conducted studies and surveys to obtain first-hand information from the protagonists, that is, from university professors and students. Despite the efforts, there are many questions that still remain unanswered. The authors are aware of the enormous challenge that the use of technology poses in the university classrooms and want to delve into the causes and consequences of student digital distraction and the strategies that can be used by instructors to curb student digital distraction without deteriorating student-instructor rapport in the context of higher education.
The Fourth Industrial Revolution, under the name of Industry 4.0, focuses on obtaining and using data to facilitate decision-making and thus achieve a competitive advantage. Industry 4.0 is about smart factories. For this, a series of technologies have emerged that communicate the physical and the virtual world, including Internet of Things, Big Data, and Artificial Intelligence. These technologies can be applied in many areas of the industry such as production, manufacturing, quality, logistics, maintenance, or security to improve the optimization of the production capacity or the control and monitoring of the production process. An important area of application is maintenance. Predictive maintenance is focused on monitoring the performance and condition of equipment during normal operation to reduce the likelihood of failures with the help of data-driven techniques. This chapter aims to explore the possibilities of using artificial intelligence to optimize the maintenance of the machinery and equipment components so that product costs are reduced.
A lot of millennials have been educated in gamified schools where they played Kahoot several times per week, and where applications like Classcraft made them feel like the protagonists of a videogame in which they had to accumulate points to be able to level up. All those that were educated in a gamified environment feel it is natural and logical that gamification is used in all areas. For this reason, gamification is increasingly becoming important in different fields including financial services, bringing new challenges. Gamification allows financial institutions to provide personalized and compelling experiences. Big data and artificial intelligence techniques are called to play an essential role in the gamification of financial services. This chapter aims to explore the possibilities of using artificial intelligence and big data techniques to support gamified financial services which are essential for digital natives but also increasingly important for digital immigrants.
Systems that aim to maintain and improve the health of citizens are steadily gaining importance. Digital transformation is having a positive impact on healthcare. Gamification motivates individuals to maintain and improve their physical and mental well-being. In the era of artificial intelligence and big data, healthcare is not only digital, but also predictive, proactive, and preventive. Big data and artificial intelligence techniques are called to play an essential role in gamified eHealth services and devices allowing to offer personalized care. This chapter aims to explore the possibilities of artificial intelligence and big data techniques to support and improve gamified eHealth services and devices, including wearable technology, which are essential for digital natives but also increasingly important for digital immigrants. These services and devices can play an important role in the prevention and diagnosis of diseases, in the treatment of illnesses, and in the promotion of healthy lifestyle habits.
The proper functioning of higher education institutions depends on multiple factors. The teaching-learning process is essential, which turns professors and students into leading actors. However, there are many other factors that must be considered. A key element is the quality and comfort of the air (including temperature, degree of humidity, and purity). This aspect is related to two issues of great importance that are energy efficiency and indoor pollution. In this chapter, the authors want to make visible the importance of maintaining adequate air quality and comfort in the buildings of higher education institutions, not only to achieve energy efficiency and consequent cost reduction, but also to improve the well-being and health of the entire university community by reducing, as much as possible, air pollutants in university campus buildings. In addition, the main emerging technologies available to achieve this objective, such as artificial intelligence, big data, internet of things, or edge computing, will be presented together with practical use cases.
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