03989nam a22004695i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001600153050001100169072001600180072002300196072001500219100008900234245013100323250001800454264005400472300007000526336002600596337002600622338003600648347002400684490003200708505064800740520165801388650004203046650002103088650002803109650002903137650006403166650005003230650002903280710003403309773002603343776003603369776003603405830003203441856004603473979-8-8688-1061-9DE-He21320251030114916.0cr nn 008mamaa250101s2024    xxu|    s    |||| 0|eng d  a97988688106197 a10.1007/979-8-8688-1061-92doi 4aTA1501-1820 4aTA1634 7aUYT2bicssc 7aCOM0160002bisacsh 7aUYT2thema1 aParra Pennefather, Patrick.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aRegenerating Learningh[electronic resource] :bTransforming How You Learn with Generative AI /cby Patrick Parra Pennefather.  a1st ed. 2024. 1aBerkeley, CA :bApress :bImprint: Apress,c2024.  aLXXXVI, 479 p. 109 illus., 103 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aDesign Thinking,x2945-78070 a1: Ready Yourself to Learn From AI -- 2: Reprogram Your Learning Patterns -- 3: Regulate How You Learn -- 4: Re-Learn While Working.-5: Design Your Own Learning -- 6: Re-energize Doing -- 7: Re-Assess with Generative AI -- 8: Re-Adjust with AI -- 9: Prototype Learning -- 10: Re-Iterate How You Learn -- 11:Reconciling Using Generative AI -- 12: Remember the Algorithms -- 13: Continuously Improve and Learn with AI -- 14: Build Your Own Teaching Bots -- 15: Re-Invent Reinforcement -- 16: Learn with Other Bots -- 17: Transform Your Organization -- 18: Reclaim Your Creative Content -- 19: Fill in the Blanks -- 20: An Intelligent Conclusion.  aThe 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. Chapters 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. 0aImage processingxDigital techniques. 0aComputer vision. 0aEducational technology. 0aArtificial intelligence.14aComputer Imaging, Vision, Pattern Recognition and Graphics.24aDigital Education and Educational Technology.24aArtificial Intelligence.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z979886881060208iPrinted edition:z9798868810626 0aDesign Thinking,x2945-780740uhttps://doi.org/10.1007/979-8-8688-1061-9