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Generative ai for academics, Carrigan, Mark


Варианты приобретения
Цена: 30610.00T
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 10 шт.  Склад Америка: 228 шт.  
При оформлении заказа до: 2025-10-06
Ориентировочная дата поставки: начало Ноября

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Автор: Carrigan, Mark
Название:  Generative ai for academics
ISBN: 9781529690392
Издательство: Sage Publications
Классификация:

ISBN-10: 1529690390
Обложка/Формат: Paperback
Страницы: 192
Вес: 0.35 кг.
Дата издания: 18.12.2024
Размер: 242 x 171 x 13
Рейтинг:
Поставляется из: Англии

Deep Generative Models

Автор: Mukhopadhyay
Название: Deep Generative Models
ISBN: 3031537661 ISBN-13(EAN): 9783031537660
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Little guide for teachers: generative ai in the classroom

Автор: Knight, Laura
Название: Little guide for teachers: generative ai in the classroom
ISBN: 1036200795 ISBN-13(EAN): 9781036200794
Издательство: Sage Publications
Рейтинг:
Цена: 15830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Generative AI in Higher Education

Название: Generative AI in Higher Education
ISBN: 1032604182 ISBN-13(EAN): 9781032604183
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Generative ai for students

Автор: Meechan, David
Название: Generative ai for students
ISBN: 1529683424 ISBN-13(EAN): 9781529683424
Издательство: Sage Publications
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Цена: 19000.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Using generative ai effectively in higher education

Название: Using generative ai effectively in higher education
ISBN: 1032773987 ISBN-13(EAN): 9781032773988
Издательство: Taylor&Francis
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Цена: 55110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably.This rich collection of established and evaluated practices from across global higher education offers a practical guide to leading an agile institutional response to emerging technologies, building critical digital literacy across an entire institution, and embedding the ethical and sustainable use of GenAI in teaching, learning, and assessment. Including reflections from stakeholders testifying to the value of the approaches outlined, the book examines how higher education can equip staff and students with the critical-digital literacy necessary to use GenAI in work, study, and social life responsibly and with integrity. It provides an evidence-based resource for any kind of higher education (HE) provider (modern, college-based, and research-focused) looking for inspiration and approaches which can build GenAI capability and includes chapters on the development of cross-institutional strategy, policies and processes, pedagogic practices, and critical-digital literacy.This resource will be invaluable to educational leaders, educational developers, learning developers, learning technologists, course administrators, quality assurance staff, and HE teachers wishing to embrace and adapt to a GenAI-enabled world.

Generative Conversations for Creative Learning

Автор: Gloria Latham; Robyn Ewing
Название: Generative Conversations for Creative Learning
ISBN: 3319605186 ISBN-13(EAN): 9783319605180
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book builds on conversations between the author educators and other experts in the field, including authors, illustrators and teachers, to explore the benefits of discussions around quality literature within a classroom context that exercises the imagination and generates new ideas and discoveries.

Generative Conversations for Creative Learning

Автор: Gloria Latham; Robyn Ewing
Название: Generative Conversations for Creative Learning
ISBN: 3319868772 ISBN-13(EAN): 9783319868776
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book builds on conversations between the author educators and other experts in the field, including authors, illustrators and teachers, to explore the benefits of discussions around quality literature within a classroom context that exercises the imagination and generates new ideas and discoveries. The book focuses on a range of strategies that can be utilised to reimagine literacy learning in a 21st century context including parent and teacher talk; active listening; fostering student driven questions; building vocabulary and imagery; and metacognitive talk. These are argued to have a hugely beneficial impact on how children learn to solve problems, engage in complex thought processes, negotiate meaning, as well as learning how to wonder, explore, create and defend ideas. The book also defends the importance of parents, teachers and academics as ‘storytellers’, using their bodies and voices as instruments of engagement and power. It will make compelling reading for students, teachers and researchers working in the fields of education and sociology, particularly those with an interest in creative methods for improving literacy.

Generative AI in Higher Education

Название: Generative AI in Higher Education
ISBN: 1032599049 ISBN-13(EAN): 9781032599045
Издательство: Taylor&Francis
Рейтинг:
Цена: 35720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Deep Generative Models

Автор: Mukhopadhyay
Название: Deep Generative Models
ISBN: 3031185757 ISBN-13(EAN): 9783031185755
Издательство: Springer
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Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore. DG4MICCAI 2022 accepted 12 papers from the 15 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.


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