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Artificial intelligence (AI) is changing the world as we know it. Recent advances are enabling people, companies, and governments to envision and experiment with new methods of interacting with computers and modifying how virtual and physical processes are carried out. One of the fields in which this transformation is taking place is education. After years of witnessing the incorporation of technological innovations into learning/teaching processes, we can currently observe many new research works involving AI. Moreover, there has been increasing interest in this research area after the COVID-19 pandemic, driven toward fostering digital education. Among recent research in this field, AI applications have been applied to enhance educational experiences, studies have considered the interaction between AI and humans while learning, analyses of educational data have been conducted, including using machine learning techniques, and proposals have been presented for new paradigms mediated by intelligent agents. This book, entitled “AI in Education”, aims to highlight recent research in the field of AI and education. The included works discuss new advances in methods, applications, and procedures to enhance educational processes via artificial intelligence and its subfields (machine learning, neural networks, deep learning, cognitive computing, natural language processing, computer vision, etc.).

Information technology industries --- performance measurement --- key performance indicators --- educational data mining --- institutes performance --- governance --- educational mining --- machine learning --- artificial intelligence --- decision support systems --- systematic literature review --- learning styles --- hybrid university teaching --- e-behaviour --- big five personality --- student performance --- plagiarism --- ethics --- academic dishonesty --- online education --- higher education --- AS&P model --- Pakistan

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The present book contributes to the public administration literature by providing new insights into corporate social responsibility (CSR), sustainability initiatives, and stakeholder engagement in the higher education context. The fourteen papers published in this Special Issue discuss the role of public universities in promoting sustainability actions, university missions, and Sustainable Development Goals (SDGs) embedded in the 2030 UN Agenda. In each contribution, avenues for research are suggested and, most importantly, stronger analytical connections are advocated between these inter-related research areas. In more detail, two papers focus their attention on university transparency and the processes’ complexity in public institutions. Furthermore, two papers focus on CSR teaching and education, three papers analyze universities’ social responsibility initiatives, and five papers focus on the SDGs. Lastly, taking into account how social networks have changed university communication and become powerful tools for building relationships with stakeholders, two papers of the Special Issue consider social media’s role in university communications.

Information technology industries --- Sustainable Development Goals --- higher education --- sustainability reporting --- Global Reporting Initiative --- thematic analysis --- CSR --- SDGs --- sustainable development --- institutionalization --- strategic plan --- performance measurement --- university --- university social responsibility --- universities --- social responsibility --- CSR reporting --- Italy --- sustainable development goals --- case study --- strategies --- reporting --- education --- Economia Aziendale --- CSR3 --- business ethics --- corporate social responsibility disclosure --- stakeholders engagement --- social network --- Twitter --- sustainability --- Italian universities --- stakeholder engagement --- social media --- disclosure --- corporate social responsibility (CSR) --- corporate strategy --- transparency --- public research institutes --- information disclosure --- public administration --- social justice --- university leadership --- efficiency --- support activities --- processes --- SDG 5 --- gender reporting --- gender budgeting --- Italian university --- the impact ranking --- social accounting theories --- CRUI guidelines --- teaching --- responsibility --- n/a

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In the competitive business environment or public domain, the sustainability assessment in supply chain and infrastructure management are important for any organization. Organizations are currently striving to improve their sustainable strategies through preparedness, response, and recovery because of increasing competitiveness, community, and regulatory pressure. Thus, it is necessary to develop a meaningful and more focused understanding of sustainability in supply chain management and infrastructure management practices. In the context of a supply chain, sustainability implies that companies identify, assess, and manage impacts and risks in all the echelons of the supply chain, considering downstream and upstream activities. Similarly, the sustainable infrastructure management indicates the ability of infrastructure to meet the requirements of the present without sacrificing the ability of future generations to address their needs. The complexities regarding sustainable supply chain and infrastructure management have driven managers and professionals to seek different solutions. This Special Issue aims to provide readers with the most recent research results on the aforementioned subjects. In addition, it offers some solutions and also raises some questions for further research and development toward sustainable supply chain and infrastructure management.

green supply chain --- performance measurement --- Bayesian belief network --- sustainability --- trenchless technologies --- pipelines --- construction --- social cost --- fuzzy QFD --- flexibility --- IT flexibility --- importance‒performance analysis --- partial least squared structured equation modelling --- performance gap --- sustainable growth --- higher educational institutions --- academic buildings --- environmental performance --- performance benchmarking --- fuzzy clustering analysis --- metabolic flows --- green supply chain management --- carbon tax and cap --- can-order policy --- mixed-integer programming --- fuzzy constraints --- social sustainability --- small- and medium-sized enterprises (SMEs) --- stakeholder support --- social sustainability awareness --- transport networks --- logistics --- simulation games --- serious games --- innovation ecosystem --- Port of Rotterdam --- complex systems --- truck platooning --- barge transport --- multi-sided platforms --- Bayesian --- geoadditive --- quantile --- P-splines --- boosting optimization --- resilience --- housing infrastructure --- flood hazard and sensitivity analysis --- shipping cost --- risk assessment and management --- conditional value-at-risk --- investment projects --- financial analysis --- economic analysis --- energy efficiency --- public buildings --- literature review --- multi-criteria decision-making --- MCDM methods --- sustainable supply chain management --- SSCM --- efficiency assessment --- operations strategy matrix --- data envelopment analysis --- healthcare systems --- COVID-19 --- n/a

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In the competitive business environment or public domain, the sustainability assessment in supply chain and infrastructure management are important for any organization. Organizations are currently striving to improve their sustainable strategies through preparedness, response, and recovery because of increasing competitiveness, community, and regulatory pressure. Thus, it is necessary to develop a meaningful and more focused understanding of sustainability in supply chain management and infrastructure management practices. In the context of a supply chain, sustainability implies that companies identify, assess, and manage impacts and risks in all the echelons of the supply chain, considering downstream and upstream activities. Similarly, the sustainable infrastructure management indicates the ability of infrastructure to meet the requirements of the present without sacrificing the ability of future generations to address their needs. The complexities regarding sustainable supply chain and infrastructure management have driven managers and professionals to seek different solutions. This Special Issue aims to provide readers with the most recent research results on the aforementioned subjects. In addition, it offers some solutions and also raises some questions for further research and development toward sustainable supply chain and infrastructure management.

Technology: general issues --- History of engineering & technology --- green supply chain --- performance measurement --- Bayesian belief network --- sustainability --- trenchless technologies --- pipelines --- construction --- social cost --- fuzzy QFD --- flexibility --- IT flexibility --- importance‒performance analysis --- partial least squared structured equation modelling --- performance gap --- sustainable growth --- higher educational institutions --- academic buildings --- environmental performance --- performance benchmarking --- fuzzy clustering analysis --- metabolic flows --- green supply chain management --- carbon tax and cap --- can-order policy --- mixed-integer programming --- fuzzy constraints --- social sustainability --- small- and medium-sized enterprises (SMEs) --- stakeholder support --- social sustainability awareness --- transport networks --- logistics --- simulation games --- serious games --- innovation ecosystem --- Port of Rotterdam --- complex systems --- truck platooning --- barge transport --- multi-sided platforms --- Bayesian --- geoadditive --- quantile --- P-splines --- boosting optimization --- resilience --- housing infrastructure --- flood hazard and sensitivity analysis --- shipping cost --- risk assessment and management --- conditional value-at-risk --- investment projects --- financial analysis --- economic analysis --- energy efficiency --- public buildings --- literature review --- multi-criteria decision-making --- MCDM methods --- sustainable supply chain management --- SSCM --- efficiency assessment --- operations strategy matrix --- data envelopment analysis --- healthcare systems --- COVID-19 --- n/a