Artificial Intelligence in Education

Artificial Intelligence in Education
Author: Wayne Holmes
Publisher:
Total Pages: 244
Release: 2019-02-28
Genre: Computers
ISBN: 9781794293700

"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet

Machine Learning for Kids

Machine Learning for Kids
Author: Dale Lane
Publisher: No Starch Press
Total Pages: 290
Release: 2021-01-19
Genre: Computers
ISBN: 1718500572

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+

Writing Instruction That Works

Writing Instruction That Works
Author: Arthur N. Applebee
Publisher: Teachers College Press
Total Pages: 225
Release: 2015-04-25
Genre: Language Arts & Disciplines
ISBN: 0807772070

Backed by solid research, Writing Instruction That Works answers the following question: What is writing instruction today and what can it be tomorrow? This up-to-date, comprehensive book identifies areas of concern for the ways that writing is being taught in todays secondary schools. The authors offer far-reaching direction for improving writing instruction that assist both student literacy and subject learning. They provide many examples of successful writing practices in each of the four core academic subjects (English, mathematics, science, and social studies/history), along with guidance for meeting the Common Core standards. The text also includes sections on Technology and the Teaching of Writing and English Language Learners.

Prompt Engineering Using ChatGPT

Prompt Engineering Using ChatGPT
Author: Mehrzad Tabatabaian
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 142
Release: 2024-06-17
Genre: Technology & Engineering
ISBN: 1501518895

This book provides a structured framework for exploring various aspects of prompt engineering for ChatGPT, from foundational principles to advanced techniques, real-world applications, and ethical considerations. It aims to guide readers in effectively harnessing the capabilities of ChatGPT through well-crafted prompts to achieve their goals. The digital age has ushered in a new era of communication, one where the boundaries between human and machine are becoming increasingly blurred. Artificial Intelligence (AI) technology, in its relentless evolution, has given rise to remarkable language models that can understand and generate human-like text. "Prompt Engineering for ChatGPT," demystifies the intricacies of this ground breaking technology, offering insights and strategies to harness its capabilities.

Little Platoons

Little Platoons
Author: Matt Feeney
Publisher: Hachette UK
Total Pages: 216
Release: 2021-03-09
Genre: Family & Relationships
ISBN: 1541645588

This eye-opening book brilliantly explores the true roots of over-parenting, and makes a case for the vital importance of family life. Parents naturally worry about the future. They want to prepare their children to compete in an uncertain world. But often, argues political philosopher and father of three Matt Feeney, today's worried parents surrender their family's autonomy to gain a leg up in this competition. In the American ideal, family life is a sacred and private sphere, distinct from the outside world. But in our hypercompetitive times, Feeney shows, parents have become increasingly willing to let the inner life of the family be colonized by outside forces that promise better futures for their kids: prestigious preschools, "educational" technologies, youth sports leagues, a multitude of enrichment activities, and -- most of all -- college. A provocative, eye-opening book for any parent who suspects their kids' stuffed schedules are not serving their best interests, Little Platoons calls us to rediscover the distinctive, profound solidarity of family life.

The Class

The Class
Author: Heather Won Tesoriero
Publisher: Ballantine Books
Total Pages: 458
Release: 2018-09-04
Genre: Education
ISBN: 0399181857

An unforgettable year in the life of a visionary high school science teacher and his award-winning students, as they try to get into college, land a date for the prom . . . and possibly change the world “A complex portrait of the ups and downs of teaching in a culture that undervalues what teaching delivers.”—The Wall Street Journal Andy Bramante left his successful career as a corporate scientist to teach public high school—and now helms one of the most remarkable classrooms in America. Bramante’s unconventional class at Connecticut’s prestigious yet diverse Greenwich High School has no curriculum, tests, textbooks, or lectures, and is equal parts elite research lab, student counseling office, and teenage hangout spot. United by a passion to learn, Mr. B.’s band of whiz kids set out every year to conquer the brutally competitive science fair circuit. They have won the top prize at the Google Science Fair, made discoveries that eluded scientists three times their age, and been invited to the Nobel Prize ceremony in Stockholm. A former Emmy-winning producer for CBS News, Heather Won Tesoriero embeds in this dynamic class to bring Andy and his gifted, all-too-human kids to life—including William, a prodigy so driven that he’s trying to invent diagnostics for artery blockage and Alzheimer’s (but can’t quite figure out how to order a bagel); Ethan, who essentially outgrows high school in his junior year and founds his own company to commercialize a discovery he made in the class; Sophia, a Lyme disease patient whose ambitious work is dedicated to curing her own debilitating ailment; Romano, a football player who hangs up his helmet to pursue his secret science expertise and develop a “smart” liquid bandage; and Olivia, whose invention of a fast test for Ebola brought her science fair fame and an appearance on The Late Show with Stephen Colbert. We experience the thrill of discovery, the heartbreak of failed endeavors, and perhaps the ultimate high: a yes from Harvard. Moving, funny, and utterly engrossing, The Class is a superb account of hard work and high spirits, a stirring tribute to how essential science is in our schools and our lives, and a heartfelt testament to the power of a great teacher to help kids realize their unlimited potential. Praise for The Class “Captivating . . . Journalist Tesoriero left her job at CBS News to embed herself in Bramante’s classroom for the academic year, and she does this so successfully, a reader forgets she is even there. Her skill at drawing out not only Bramante but also the personal lives, hopes and concerns of these students is impressive. . . . It is a fascinating glimpse of a teaching environment that most public school teachers will never know.”—The Washington Post

Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Total Pages: 392
Release: 2020-04-23
Genre: Computers
ISBN: 1108569323

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Electronic Health Records and Medical Big Data

Electronic Health Records and Medical Big Data
Author: Sharona Hoffman
Publisher: Cambridge University Press
Total Pages: 227
Release: 2016-12-07
Genre: Business & Economics
ISBN: 1107166543

This book provides interdisciplinary analysis of electronic health record systems and medical big data, offering a wealth of technical, legal, and policy insights.

Mending Education

Mending Education
Author: Karen Gross
Publisher: Teachers College Press
Total Pages: 241
Release: 2024
Genre: Education
ISBN: 0807786004

"The authors focus on how sudden and forced changes to teaching and learning created "Pandemic Positives" which can be captured and brought to scale across pre-K-adult settings"--