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Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence

為了解決Teaching plan的問題，作者Agrawal, Ajay,Gans, Joshua,Goldfarb, Avi 這樣論述：

Named one of ＂The five best books to understand AI＂ by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life--driving cars, trading stocks, an

d teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossib

ly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives,

policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with

such decisions.Prediction tools increase productivity--operating machines, handling documents, communicating with customers.Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete.The authors reset the context, describing the striking impact th

e book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and pract

ical, Prediction Machines will help you navigate the changes on the horizon.

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數位平臺結合Google Classroom的英語學習成效之研究

為了解決Teaching plan的問題，作者許瓊文 這樣論述：

本研究旨在探討研究者欲解決國小英語學習課堂中所遇到之困境，規劃實體課程與課後非同步課程，以Google Classroom為媒介，並使用數位平臺進行「虛實整合」之課程規劃，以期達到英語學習成效。本研究採準實驗設計法，將兩班級分為實驗組與對照組，皆以英語實體課程為主，但僅有實驗組輔以數位平臺練習。經過為期八週的實驗，並透過期中考之成績進行統計分析，檢視運用數位平臺作為延伸學習是否有助於提升英語學習成效。同時，透過學生學習心得回饋與教師成長及省思，進一步紀錄研究過程中的成長與收穫。從統計結果分析來看，兩組在成績上並無顯著差異；然而，在兩組成績前後測卻有顯著差異。由於疫情下所造成混成教學之必然性，

在學習成效上，兩班先維持基本成果，平均數相差不大，但實驗組標準差較對照組收斂。在從各大題分析兩組的答對率，進行探討造成此分數結果的差異。得到的結果與發現如下：一、某廠商雲端速測數位平臺運用在英語學習雖無顯著差異，有助於省思如何更有效率運用混成教學。二、77%學生對於使用某廠商雲端速測線上測驗數位平臺大多抱持正面的態度與看法。三、教師能透過規劃虛實整合之課堂，提升教師自我效能及專業成長。本研究提供給教學者以下建議：一、教學者可以補充更多題目，使學生達到精熟學習。二、教學者可以引導學生製作英語讀書計畫，紀錄學生自我學習成長。三、教學者善用混合教學之優勢，設計虛實整合之課程，將達到更好的學習效益。關

鍵字：數位平臺、英語學習、英語學習成效。

Daniel Coit Gilman and the Birth of the American Research University

為了解決Teaching plan的問題，作者Benson, Michael T. 這樣論述：

One of the most remarkable education leaders of the late nineteenth century and the creator of the modern American research university finally gets his due.Daniel Coit Gilman, a Yale-trained geographer who first worked as librarian at his alma mater, led a truly remarkable life. He was selected a

s the third president of the University of California; was elected as the first president of Johns Hopkins University, where he served for twenty-five years; served as one of the original founders of the Association of American Universities; and--at an age when most retired--was hand-picked by Andre

w Carnegie to head up his eponymous institution in Washington, DC.In Daniel Coit Gilman and the Birth of the American Research University, Michael T. Benson argues that Gilman’s enduring legacy will always be as the father of the modern research university--a uniquely American invention that remains

the envy of the entire world. In the past half-century, nothing has been written about Gilman that takes into account his detailed journals, reviews his prodigious correspondence, or considers his broad external board service. This book fills an enormous void in the history of the birth of the new

American system of higher education, especially as it relates to graduate education. The late 1800s, Benson points out, is one of the most pivotal periods in the development of the American university model; this book reveals that there is no more important figure in shaping that model than Daniel C

oit Gilman.Benson focuses on Gilman’s time deliberating on, discussing, developing, refining, and eventually implementing the plan that brought the modern research university to life in 1876. He also explains how many university elements that we take for granted--the graduate fellowships, the emphas

is on primary investigations and discovery, the funding of the best laboratory and research spaces, the scholarly journals, the university presses, the sprawling health sciences complexes with teaching hospitals--were put in place by Gilman at Johns Hopkins University. Ultimately, the book shows, Gi

lman and his colleagues forced all institutions to reexamine their own model and to make the requisite changes to adapt, survive, thrive, compete, and contribute.

寫人型文言短文教學策略研究─以〈五柳先生傳〉、〈張釋之執法〉為例

為了解決Teaching plan的問題，作者簡秀玫 這樣論述：

本研究根據筆者以往的教學經驗，發現國中生在文言文本的學習表現與學習遷移效果差，且學生的學習動機薄弱。以往傳統文言文教學的窠臼，在於照著課本的編排教學，重視太多瑣碎的知識，忽略文章整體的架構與脈絡，偏向單篇文本教學模式，使學生在語文知識和閱讀能力上無法有進階性的成長。因此，欲以「寫人型文言短文」作為提升文言閱讀能力的媒材，具體的操作方式則將「詮釋、摘要、推論、分析」的閱讀能力融入於教學活動，歸納學生在上述教學活動過程所遇到的困難，並提出解決的策略與修正，以期建立語文學習的系統性及提升文言閱讀能力。本研究採取行動研究法，以〈五柳先生傳〉、〈張釋之執法〉為教學文本，突破以往的教學模式，依據文本特性

重新聚焦，並編製學習單做為上課教材與評量依據。教學實施為新北市某公立國中七年級學生，共24人，時間自107年4月初起至4月中止，計16節課。筆者結合教學方案、教學歷程省思、課後回饋與學習單表現，歸納出以下結論：一、 教學方案設計有助於提升文言閱讀理解能力二、 師生對話有助於發現學習的困難，加以解決三、 建立學習模組，有助於提升動機與學習遷移最後，梳理本研究歷程。第一章為「緒論」：概述國中生在文言閱讀上的困境，作為研究起點。第二章為「文獻探討」：探討前人研究成果、分析會考文言題組試題評量重點、梳理寫人型文言短文學習重點。第三章到第四章為「寫人型文言短文教學策略」，分別為〈五柳先生傳〉、〈張

釋之執法〉，紀錄教材分析、教學設計、實施過程與省思修正。第五章為「結論」，綜合學生各項能力的學習表現，提出建議，跳脫傳統教學的框架，作為寫人型文言短文教學研究策略的參考。