Regenerating Learning: Transforming How You Learn with Generative AI
暫譯: 再生學習：利用生成式人工智慧轉變學習方式
Parra Pennefather, Patrick
相關主題
商品描述
The perfect storm of learning provoked by generative AI is not just about learning how to use the technology to change human patterns of work and life. The technologies are re-orienting how we think we learn, how we communicate with each other, and the economic, social, political, creative, and ethical factors that inform how we navigate human-influenced existence on this planet. This book addresses the need for workers in any industry to take responsibility for learning how to best use generative AI systems in their unique contexts.
Generative AI can navigate you towards learning, but also towards conducting research and teaching yourself things; to empower you in reimagining and reinventing how you learn while doing your work. Just like you can regenerate content persistently using generative AI systems, so too can you regenerate what and how you learn. Regenerating Learning will prepare you to inform and guide the small team you are a part of, or influence leadership to navigate the territory of leveraging generative AI systems responsibly.
Besides pointing to all the more obvious benefits of learning how to use generative AI systems more effectively, this book provides use cases, research and educational theory to propose that interacting with the technology leads to a number of unanticipated learning outcomes. These outcomes challenge the very way in which we have come to learn, what we have learned, and what we may need to unlearn. As generative AI becomes increasingly integrated within workplace environments at some point or other we will each reach a critical point of having to decide if we are going to use the technology and how.
What You will Learn
- Methods and techniques to re-learn how you learn through your interactions with different generative AI.
- Strategic approaches to integrate generative AI within your workflows.
- How to iterate, adapt, prototype and learn continuously with generative AI.
- A variety of tools and approaches to reconcile you and your organization's use of generative AI within work environments.
- How to develop a road map towards the integration of AI systems within your organization.
Who this Book Is For
Creatives, team leaders, managers and leadership in different organizations; teams in collaborative and creative industries; managers and employees in organizational learning
商品描述(中文翻譯)
學習的完美風暴由生成式人工智慧所引發，不僅僅是學習如何使用這項技術來改變人類的工作和生活模式。這些技術正在重新定義我們對學習的理解、我們彼此之間的溝通方式，以及影響我們在這個星球上導航人類影響存在的經濟、社會、政治、創意和倫理因素。本書針對各行各業的工作者提出了學習如何在其獨特情境中最佳使用生成式人工智慧系統的責任。
生成式人工智慧可以引導你學習，也可以幫助你進行研究和自我教學；使你能夠重新想像和重新塑造你的學習方式，同時進行工作。就像你可以持續使用生成式人工智慧系統再生內容一樣，你也可以再生你學習的內容和方式。《再生學習》將幫助你為你所屬的小團隊提供資訊和指導，或影響領導層負責任地利用生成式人工智慧系統。
除了指出更明顯的學習如何更有效使用生成式人工智慧系統的好處外，本書還提供了使用案例、研究和教育理論，提出與這項技術互動會導致一系列意想不到的學習成果。這些成果挑戰了我們學習的方式、我們所學的內容，以及我們可能需要忘記的知識。隨著生成式人工智慧在工作環境中越來越多地被整合，某個時刻我們每個人都將面臨一個關鍵點，必須決定是否使用這項技術以及如何使用。
你將學到的內容：
- 通過與不同生成式人工智慧的互動，重新學習你學習的方式的方法和技術。
- 將生成式人工智慧整合到你的工作流程中的策略方法。
- 如何不斷迭代、適應、原型設計和學習生成式人工智慧。
- 各種工具和方法，以調和你和你的組織在工作環境中使用生成式人工智慧的方式。
- 如何制定一個將人工智慧系統整合到你組織中的路線圖。
本書適合對象：
創意工作者、團隊領導者、不同組織的管理者和領導層；協作和創意產業的團隊；組織學習中的管理者和員工。
作者簡介
Patrick Parra Pennefather is an Assistant Professor and Researcher at the University of British Columbia within the Faculty of Arts and the Emerging Media Lab. His research is focused on Collaborative Learning Practices, Emerging technology development, Research Creations, and GraphRAG research and development within the field of machine learning. Patrick also works with learning organizations and technology companies around the world to adopt generative AI strategically within complex and inter-dependent team environments, and design learning courses that meets the needs of diverse communities to aid the development of the next generation of technology designers and developers.
作者簡介(中文翻譯)
Patrick Parra Pennefather 是不列顛哥倫比亞大學藝術學院及新興媒體實驗室的助理教授和研究員。他的研究專注於協作學習實踐、新興技術開發、研究創作，以及在機器學習領域內的 GraphRAG 研究與開發。Patrick 也與全球的學習組織和科技公司合作，策略性地在複雜且相互依賴的團隊環境中採用生成式 AI，並設計符合多元社群需求的學習課程，以協助培養下一代的科技設計師和開發者。
