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This chapter examines the teaching practice of the author in the Faculty of Education, University of Malta, taking sessions in smart learning as part of technology-enhanced learning (TEL) study units in Bachelors of Education and Masters in Teaching and Learning degree programs between 2017 and 2019. My teaching sessions ran concurrent with undertaking separate doctoral research investigating how participants experience “smart learning journeys.” Smart learning journeys in the research were conceptualized as real-world journeys, with geo-spatially relevant points of interest forming a journey of locations related to a topic of learning, providing context-aware content via digital interactions. Research was not connected to teaching practice, though students who took TEL units also participated in the same smart learning journey activity as part of their syllabus.

Though teaching sessions were not part of my research, my classroom practice modified as a result of emerging research findings, and my teaching benefited as I gained deeper understanding about smart learning activities and the role of the learner in them. Using dialogic learning methods and techniques inspired from my research interview methodology, class sessions became noticeably more effective as students engaged directly in discovering their own learning from having participated in the smart learning journey.

It is no longer enough to have a technology base to meet customer needs. The competitiveness of the tourism sector is ensured through the innovation capacity that companies can achieve, either through innovation associated with services or through services. The relationship between tourism innovation and business competitiveness in the tourism sector must consider emerging and innovative technologies that appear daily in society. In this context, the information systems applied to tourism must take into consideration the various sectors of activity: accommodation, travel agencies, restaurants and gastronomy, tourist entertainment, transport, among others. In addition to tourism management information system, it must integrate an innovation mechanism, which should be based on the definition of an appropriate business model. The business model that ensures innovation has to integrate design, production, service, and marketing through a new customer relationship, therefore technology must be able to meet the demands inherent in this new model. The purpose of this chapter is to investigate how the concept of Industry 4.0 can affect the development of tourism in Portugal. In this context, it is relevant for tourism that all companies consider the technological drivers of change associated with the concept of Industry 4.0, constituting a technological basis for leveraging tourism companies to a technological environment called ‘Tourism 4.0’.

1. Innovative technologies, such as DS, can engage different human senses and play an important role in enhancing the store atmosphere.

2. The majority of DS networks feature content that is generic and is rarely tailored to the audience passing by the screens. As a result, digital displays are often ignored.

3. DS coupled with sensors and Artificial Intelligence allow for more relevant and personalized experiences.

4. Relevance through personalization can help retailers overcome display blindness, but challenges in terms of legal restrictions and ethical concerns exist to unlock its potential.

5. Nontouch interaction technologies, such as voice assistants, gesture controls, facial recognition, and augmented reality, present new ways of interacting with digital screens.

Innovative technologies, such as DS, can engage different human senses and play an important role in enhancing the store atmosphere.

The majority of DS networks feature content that is generic and is rarely tailored to the audience passing by the screens. As a result, digital displays are often ignored.

DS coupled with sensors and Artificial Intelligence allow for more relevant and personalized experiences.

Relevance through personalization can help retailers overcome display blindness, but challenges in terms of legal restrictions and ethical concerns exist to unlock its potential.

Nontouch interaction technologies, such as voice assistants, gesture controls, facial recognition, and augmented reality, present new ways of interacting with digital screens.

This chapter introduces the book by revolving around its core concept: digital citizenship. This introductory chapter on digital citizenship regimes in the postpandemics could be established by including several brief discussion points that gradually introduce and lead us comprehensively to the chapters of the book previously introduced. These discussion points are informative and attempt to introduce progressively to the key chapters of the book as follows: (1) Urban-Digital Citizenship Nexus; (2) Advancing Recent Literature on Citizenship; (3) Rescaling Nation-States: Pandemic Citizenship and Algorithmic Nations; (4) Beyond the Smart Cities; (5) Exploring Digital Citizenship Towards Technopolitical Dynamics; (6) Borderless and Pandemic Citizenship; and (7) In Summary: Towards Future Research and Policy Avenues in the Postpandemics.

To analyze and discuss the role of ICTs and the emerging trends and issues in marketing tourism experiences.

Previous conceptual frameworks are reviewed and key issues and trends are identified as central for ICT-based tourism marketing. Case studies are presented to illustrate how the marketing issues could be translated into practical tourism marketing strategies.

(1) Based on the literature, a conceptual model that outlines a technology-empowered marketing approach for co-created tourism experiences is presented. (2) The identified key trends in marketing tourism experiences include the changing overall role of marketers, a growth in mobile marketing opportunities, the emergence of smart destinations and their varied implications for marketing. (3) The case studies show the integrated and strategic role of social media platforms, hashtags, photography, location-based geofilters, augmented reality and videography in marketing tourism experiences.

This chapter conceptually outlines the technology-empowered tourism marketing approach and the role of marketers and various other players in tourism experience co-creation. The case studies provide practical implications for ICT-based tourism marketing.

In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to learn. This chapter provides review of mobile learning with a particular focus on learning design. First various definitions and characteristics of mobile learning are examined in order to establish a common understanding of its boundaries and meaning. Example uses of mobile learning in schools and higher education are described as a way to provide a more concrete understanding of design possibilities. Benefits of mobile learning are unpacked, as distilled from the literature, including the ability to provide flexible, accessible, authentic, personalized, ubiquitous and seamless learning. Mobile learning issues are also examined, including technical problems, cognitive load issues, distraction, equity and safety. A primary school science and a university pre-service teacher education vignette are described so as to offer a more in-depth illustration of what mobile learning can look like and achieve in practice. Finally, mobile learning research findings and observations are synthesized into recommendations, to inform and guide evidence-based mobile learning design practices. Opportunities for future research and investigation are also discussed.

A zero-day vulnerability is a complimentary ticket to the attackers for gaining entry into the network. Thus, there is necessity to device appropriate threat detection systems and establish an innovative and safe solution that prevents unauthorised intrusions for defending various components of cybersecurity. We present a survey of recent Intrusion Detection Systems (IDS) in detecting zero-day vulnerabilities based on the following dimensions: types of cyber-attacks, datasets used and kinds of network detection systems.

Purpose: The study focuses on presenting an exhaustive review on the effectiveness of the recent IDS with respect to zero-day vulnerabilities.

Methodology: Systematic exploration was done at the IEEE, Elsevier, Springer, RAID, ESCORICS, Google Scholar, and other relevant platforms of studies published in English between 2015 and 2021 using keywords and combinations of relevant terms.

Findings: It is possible to train IDS for zero-day attacks. The existing IDS have strengths that make them capable of effective detection against zero-day attacks. However, they display certain limitations that reduce their credibility. Novel strategies like deep learning, machine learning, fuzzing technique, runtime verification technique, and Hidden Markov Models can be used to design IDS to detect malicious traffic.

Implication: This paper explored and highlighted the advantages and limitations of existing IDS enabling the selection of best possible IDS to protect the system. Moreover, the comparison between signature-based and anomaly-based IDS exemplifies that one viable approach to accurately detect the zero-day vulnerabilities would be the integration of hybrid mechanism.