Описание: Artificial intelligence serves as a catalyst for transformation in the field of education. This shift in the educational paradigm has a profound impact on the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Cultural and Social Implications of Artificial Intelligence in Education addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as ethics, critical thinking, and augmented intelligence and is designed for educators, academicians, administrators, researchers, and professionals.
Описание: With the proliferation of technology, science became a medium used to create and interpret heritage in a way that redefines human achievements.
Описание: Six theories are: 1) Theory of Creative Thinking, 2) New Constructivism, 3) Theory of In-depth Integration of Information Technology and Subjects Teaching, 4) New Theory of Teaching Design, 5) Theory of Children`s Thinking Development, and 6) Language Sense Theory.
Описание: This edited book is a collection of selected research papers presented at the 2022 3rd International Conference on Artificial Intelligence in Education Technology (AIET 2022), held in Wuhan, China, on July 1–3, 2022. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. The book is divided into five main sections – 1) AI in Education in the Post-COVID New Norm, 2) Emerging AI Technologies, Methods, Systems and Infrastructure, 3) Innovative Practices of Teaching and Assessment Driven by AI and Education Technologies, 4) Curriculum, Teacher Professional Development and Policy for AI in Education, and 5) Issues and Discussions on AI In Education and Future Development. Through these sections, the book provides a comprehensive picture of the current status, emerging trends, innovations, theory, applications, challenges and opportunities of current AI in education research. This timely publication is well aligned with UNESCO’s Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education in the post-pandemic new norm and triggering an exponential leap toward the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.
Описание: The Institutional Research profession is currently experimenting with many strategies to assess institutional effectiveness in a manner that reflects the letter and spirit of their unique mission, vision, and values. While a "best-practices" approach to the measurement and assessment of institutional functions is prevalent in the literature, a machine learning approach that synthesizes these parts into a coherent and synergistic approach has not emerged. A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are instruments and strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method. The data collected in this system are organized into assessments of institutional effectiveness through the application of machine learning data processes that create an artificial intelligence model of actual institutional performance from the raw performance data. This artificial intelligence is visualized through five organizational sensemaking approaches to monitor, demonstrate, and improve institutional performance. Thus, this book provides a set of tools that can be adopted or adapted to the specific intentions of any institution, making it an invaluable resource for Higher Education administrators, leaders and practitioners.
Описание: This book offers the most comprehensive, up-to-date introduction to the field of gifted education available. This book is organized for educators with questions regarding curricular and instructional implementation, administrators facing program planning, parents with an interest in their child`s educational opportunities, and advanced undergraduat
Описание: From virtual reality to artificial intelligence, educational technologies are rapidly changing learning experiences. This book examines technological frameworks that allow educators and organization to adapt quickly and effectively. Combining theory with real world examples, this book examines best practices and future opportunities.
Описание: From virtual reality to artificial intelligence, educational technologies are rapidly changing learning experiences. This book examines technological frameworks that allow educators and organization to adapt quickly and effectively. Combining theory with real world examples, this book examines best practices and future opportunities.
Описание: Identifies and justifies the paradigm of transformative learning and pedagogies in education, provides exemplars of existing transformative applications that, if used as partners to empower student learning, have the potential to dramatically engage students in a kind of learning that better fits 21st century learners.
Описание: Evaluates and describes successful initiatives in remote and hybrid learning during the pandemic disruption to traditional schooling for early childhood through college and job training levels. The book covers topics such as artificial intelligence, connected learning, and educational simulation games.
Автор: Jing Lin, Tom Culham, Sachi Edwards Название: Contemplative Pedagogies for Transformative Teaching, Learning, and Being ISBN: 1641137819 ISBN-13(EAN): 9781641137812 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 13167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In our current systems of education, there is a trend toward compartmentalizing knowledge, standardizing assessments of learning, and focusing primarily on quantifiable and positivist forms of inquiry. Contemplative inquiry, on the other hand, takes us on a transformative pathway toward wisdom, morality, integrity, equanimity, and joy (Zajonc, 2009). These holistic learning practices are needed as a counterbalance to the over-emphasis on positivism that we see today. In addition to learning quantifiable information, we also need to learn to be calmer, wiser, kinder, and happier. This book aims to find and share various pathways leading to these ends.
This book will describe educational endeavors in various settings that use contemplative pedagogies to enable students to achieve deep learning, peace, tranquility, equanimity, and wisdom to gain new understanding about self and life, and to grow holistically.
Embodiment is a central concept in this book. We hope to highlight strategies for exploring internal wisdoms through engaging ourselves beyond simply the rational mind. Contemplative pedagogies such as meditation, yoga, tai chi, dance, arts, poetry, reflective writing and movements, can help students embody what they learn by integrating their body, heart, mind, and spirit.
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