We present conceptual foundations for artificial intelligence, expert systems, and knowledge engineering and management and discuss high quality in education. Following, we discuss the basics of our vision and prospective about higher education (HE): the battle for the future with digital transformation (DT). Next, we present our central Chapter 4 on DT: our dual model of knowledge and data, as befits a HE institution. Below, we present a succinct outline of our architectural model. The pillars of the architecture are funding, research, entrepreneurship and social projection (Chapter 8); recognizing from the start that knowledge has its ethos in the university; these pillars correspond to:* Productive ecosystem of the DT* DT that enhances knowledge and innovation in the universities for the habilitation of the digital capabilities* A new economy that requires the U transformation as social projection.* New DT human talent required by the new knowledge and intelligence industry. The student hyper-personalization by competences and skills is required.Ten Views of Our DT Model, given its complex process that takes place in long ways, a process required for the successful survival of an organization into the IV Industrial Revolution, with the final purpose of being very competitive, productive and of high quality (HQ). The DT views, namely:1-The DT Ecosystem.2-The structural vision or the pillars of the DT mentioned.3-The DT strategic map, showing scenarios, actors and vision-mission.4-The architectural components for DT: 8 architectures were developed and implemented, applying some intelligent constructs that we have developed and documented in the last 10 years at FESSANJOSE (U. San José), leading DT in postsecondary education (PSEd).5-Digital 360° architecture of DT Academy and Administration LOCUS: this architecture is the digital portfolio that implies the organization of the subsystems to obtain better and/or new functionalities based on knowledge to obtain an intelligent behavior. The DT multilayer-architecture approach is a system of systems (SoS) one, which ensures compliance with government policies, norms and standards, in a highly complex social institution with digital assets; this approach describes the subsystems at a higher level, where a system is composed, and with the protocols by which the subsystems communicate. It provides a 360° business vision map and a planning framework for commercial and technological changes.6-The computational-mathematical perspective of DT, identifying endogenous and exogenous variables and their interrelations.7-The synthesis, the Matrix of End-Means (EMM) that summarizes in DT: Where the HE is. In addition, where can the HE go?8-The MIR Matrix, which describes DT Objectives, impacts-indicators and results.9-The dynamic model of the DT system, based on computational intelligence, representing the system information control of all the components to achieve the completion of the DT. The intelligent management information system (iMIS) for PSEd, shows the dynamics of DT, integrating several multilevel system hybrid architectures, as a space to respond to the solution of the HE problems, tending to the desired competitiveness, specifically pointing out the way that these modern technologies can be included for their adaptation and evolution in PSEd in post-modernity, making governability, and teaching and student productivity compatible with educational high quality, the purpose of DT. The interface Results of the iMIS includes: high quality metrics, digitization rate progress, indicators (an special appendix on KPI were included) and values of management, desertion, answers, and plans. The Input Interface includes data, information and knowledge acquisition, where the attributes, parameters.

A comprehensive look at the promise and potential of online learning In our digital age, students have dramatically new learning needs and must be prepared for the idea economy of the future. In Getting Smart, well-known global education expert Tom Vander Ark examines the facets of educational innovation in the United States and abroad. Vander Ark makes a convincing case for a blend of online and onsite learning, shares inspiring stories of schools and programs that effectively offer "personal digital learning" opportunities, and discusses what we need to do to remake our schools into "smart schools." Examines the innovation-driven world, discusses how to combine online and onsite learning, and reviews "smart tools" for learning Investigates the lives of learning professionals, outlines the new employment bargain, examines online universities and "smart schools" Makes the case for smart capital, advocates for policies that create better learning, studies smart cultures

Higher education serves many purposes, one of which is to prepare college and university students with the knowledge, skills and dispositions necessary for employment. Some would argue that this is the primary and even sole purpose of collegiate education. However, many also contend that university education is intended to broaden students' minds and enable them to question, investigate and think critically in order to be productive and engaged citizens. Regardless of the lens through which higher education is viewed, within any of these purposes is the need for ethical practices in teaching, learning, student engagement, and overall operational structures. Truly, in every facet of university life, ethical practices exist. If institutions of higher education are the places where, in part, the global future is shaped, then it is imperative that these same organizations be the exemplars of ethical practices.The Practice of Ethics in Higher Education includes chapters that explore and examine topics such as teaching of ethics, ethical practices on campus, ethics of clinical practices, ethics and leadership in the academy, ethics in hiring practices at colleges/universities, ethics and campus-sponsored research, as well as other topics relevant to higher education. In addition to drawing attention to the successes and challenges regarding ethical practices in higher education, this book aims to encourage future research initiatives and collaborations.

This bookwill bring awareness to community college administrators and faculty to the recent technological developments, such as Artificial Intelligence, autonomous vehicles, personal robots, 3-D printing, the Internet of Things, nanotechnology, genome research, bitcoin, and quantum computing. These technologies will require radical change in the operation of community colleges. This book describes the new technologies, discusses the impact on the community college environment, and provides recommendations for modifying college operations.

The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.

Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere. Digitalisation and digital technologies are not only essential for building competitive and dynamic economies; they transform societies, pose immense challenges for policymakers, and increasingly play a pivotal role in global power relations. Digital transformations have had catalytic effects on African and European governance, economies, and societies, and will continue to do so. The COVID-19 pandemic has already accelerated the penetration of digital tools all over the globe and is likely to be perceived as a critical juncture in how and to what purpose the world accepts and uses new and emerging technologies. This book offers a holistic analysis of how Africa and Europe can manage and harness digital transformation as partners in a globalised world. The authors shed light on issues ranging from economic growth, youth employment, and gender, to regulatory frameworks, business environments, entrepreneurship, and interest-driven power politics. They add much-needed perspectives to the debates that shape the two continents’ digital transformation and innovation environments. This book will interest practitioners working in the areas of innovation, digital technologies, and digital entrepreneurship, as well as students and scholars of international relations. It will also be relevant for policymakers, regulators, decision-makers, and leaders in Africa and Europe.

A fresh look at a “robot-proof” education in the new age of generative AI. In 2017, Robot-Proof, the first edition, foresaw the advent of the AI economy and called for a new model of higher education designed to help human beings flourish alongside smart machines. That economy has arrived. Creative tasks that, seven years ago, seemed resistant to automation can now be performed with a simple prompt. As a result, we must now learn not only to be conversant with these technologies, but also to comprehend and deploy their outputs. In this revised and updated edition, Joseph Aoun rethinks the university’s mission for a world transformed by AI, advocating for the lifelong endeavor of a “robot-proof” education. Aoun puts forth a framework for a new curriculum, humanics, which integrates technological, data, and human literacies in an experiential setting, and he renews the call for universities to embrace lifelong learning through a social compact with government, employers, and learners themselves. Drawing on the latest developments and debates around generative AI, Robot-Proof is a blueprint for the university as a force for human reinvention in an era of technological change—an era in which we must constantly renegotiate the shifting boundaries between artificial intelligence and the capacities that remain uniquely human.

International Conference on Engineering Education and Research

Learning Engineering for Online Education is a comprehensive overview of the emerging field of learning engineering, a form of educational optimization driven by analytics, design-based research, and fast-paced, large-scale experimentation. Chapters written by instructional design and distance learning innovators explore the theoretical context of learning engineering and provide design-based examples from top educational institutions. Concluding with an agenda for future research, this volume is essential for those interested in using data and high-quality outcome evidence to improve student engagement, instructional efficacy, and results in online and blended settings.