How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems.
This book constitutes selected papers presented during the First International Conference on Digitization in Education, MoStart 2023, held in Mostar, Bosnia and Herzegovina, in April 2023. The 12 presented papers were thoroughly reviewed and selected from the 30 submissions. The proceedings cover a diverse range of topics, including artificial intelligence and robotics in education, games and simulations, intelligent tutoring systems, augmented and virtual reality, natural language processing, computer vision, IoT and metaverse applications, learning analytics, deep learning, and ethical issues in AI applications in education and law.
This book presents how Digital Transformation is a requirement to upgrade Latin American universities to a next level in management, lecturing and learning processes and strategies. The book starts with a thorough introduction of the Latin American context addressing the three main topics in the book: Digital Transformation, Higher Education and Artificial Intelligence & Industry 4.0. They will be depicted by region, with a clear distribution between Central America & Mexico, Comunidad Andina (Perú, Colombia, Chile, Ecuador, Bolivia), Mercosur (Argentina, Brasil, Paraguay and Uruguay), and other countries. The book also shows how online learning is a key part of the transformation, with a clear focus on learning management systems, innovation and learning analytics. Further, personalised services for every single profile at the university (students, lecturers, academic managers) are presented to guarantee inclusive education service aggregation for networked campuses. Following, the book addresses strategy and overall services that concentrate on sustainability and revenue models integrated with a strategic planning. Finally a set of chapters will show specific experiences and case studies of direct application of Artificial Intelligence and Technology 4.0, where the readers can learn from and transfer directly into their educational contexts.
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
The widespread digitalization of all aspects of life, including the disruption caused by the Internet and the invasion by artificial intelligence, necessitates rethinking educational transformation processes. The broader purpose of the digital transformation of education is to develop an effective educational system that fits the needs of the digital economy and guarantees easy access to information for stakeholders in this sector. Digital Transformation in Education: Emerging Markets and Opportunities provides a comprehensive understanding of the emergence and evolution of digital technologies and artificial intelligence in the field of education. It presents 12 reviews that shed light on the various advantages and drawbacks of digital technology along with the opportunities and markets that are emerging because of such a digital education transition. Each chapter is written by a group of distinguished contributors and presents a detailed literature review, methodology (where appropriate), discussion and reference list. The book content equips educators at all levels with essential information required to adapt to educational technology in order to improve teaching, student support and learning outcomes. This book is an informative resource for postgraduate scholars, academics, policymakers, educators, and researchers in pedagogy, learning theory, digital learning, communication and education research.
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.
This open access volume provides insight into how organizations change through the adoption of digital technologies. Opportunities and challenges for individuals as well as the organization are addressed. It features four major themes: 1. Current research exploring the theoretical underpinnings of digital transformation of organizations. 2. Insights into available digital technologies as well as organizational requirements for technology adoption. 3. Issues and challenges for designing and implementing digital transformation in learning organizations. 4. Case studies, empirical research findings, and examples from organizations which successfully adopted digital workplace learning.
A new reality of teaching and learning through technology is continually on the rise creating the need for governments, organizations, teachers, students, and families to adapt. Students are realizing the need to become more autonomous, parents are having to become more present, and teachers are assuming new roles in virtual education. Although this new era of education is marked by innovation at all levels, most of these changes have not been thoroughly planned or structured, thus creating a difficult experience for all the educational stakeholders. Impact of Digital Transformation in Teacher Training Models conducts a critical discussion on teacher preparedness in the digital transformation of teaching practices. It promotes practitioner reflections on the role of institutional policies, teacher digital literacy, the digital divide, and how the ongoing digital transformation of society will induce the need for a paradigm shift in teacher training models. Covering topics such as emergency remote education, emerging pedagogies, and massive open online courses, this book is an essential resource for policymakers, government officials, education administration, pre-service teachers, educators, researchers, and academicians.
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!
