Artificial intelligence may change the world more than the iPhone, the internet, or even electricity.

It's bound to change education. (It already has.) But how?

AI for Educators is a readable guide for educators.

• It translates AI through a teacher lens.
• It provides practical ideas you can use in class right away.
• It unlocks powerful ways to streamline teaching and save time.

It also paints a picture of the future our students will face-and provides questions you can help them grapple with.

We can use AI to empower teaching and learning. And it can start today.

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Artificial intelligence (AI) is one of the most pressing topics facing our world - including our classrooms - today. Educators and education leaders urgently need to get up to speed and equip themselves to teach students about AI. With this guide, you'll explore a variety of AI technologies that have incredible potential to impact teaching and learning, and discover strategies for designing and implementing AI lessons and projects that empower students as creative communicators, innovative designers and digital citizens.

The guide includes:

• Ethical and instructional considerations to help you carefully examine and evaluate a diverse range of AI resources.
• Guidance on how to connect AI concepts to the curriculum and standards you're already teaching.
• Student-friendly AI tools that can be used to boost creativity and communication.
• Complete AI projects with extension activities ready to roll out in the classroom.
• A look at coming advances in the field of AI, along with guidance for navigating new questions related to AI.

(ISTE Jump Start Guide, 8.5 x 11, 3 laminated panels, 6 pages)

Audience: Elementary and secondary educators; education leaders

Imagine a world where educators can boost their productivity, task management and overall well-being with the aid of an AI assistant. In this groundbreaking book, an experienced school leader offers practical strategies for leveraging AI to support a more efficient and effective way to work.

The 62 strategies in this book will help leaders - including those with limited technical knowledge - use AI tools to address critical aspects of leadership in education, such as collaborative decision-making, building relationships and trust, personalized professional learning, data analysis and improvement, and parent and community engagement.

Featured examples show how using AI can speed up or eliminate administrative tasks, leaving more time for human interaction. With detailed prompts and instructions on how to write them, the book offers fun, innovative ideas that promote work-life balance and sustainable wellness in leadership roles, with strategies for managing workload and fostering personal growth.

The book:

• Follows a structured format, with each example offering a problem, solution, action steps, acceleration tips and cautions.
  
• Shows how to formulate effective AI prompts that yield accurate and meaningful responses from AI tools.
  
• Addresses safety and ethical considerations, highlighting potential risks, challenges and cautions school leaders need to be aware of when using AI-powered solutions.

Audience: Education leaders and administrators

Master machine learning through clarity, not complexity―in a book engineered to teach with exceptional conciseness.

Translated into 11 languages and used in thousands of universities worldwide, this book takes a unique approach: it assumes that your time is valuable. Instead of drowning you in theory or skimming the surface, it delivers a complete education in modern machine learning, focusing on what matters in practice. From fundamental algorithms that form the backbone of many applications, to cutting-edge deep learning and neural networks, you'll understand how these tools work and how to use them.

What sets this book apart is its careful progression through key concepts. You'll start with essential mathematical concepts and gradually progress through the most practically important machine learning algorithms. You'll learn practical skills like feature engineering, regularization, handling imbalanced datasets, ensembles, and model evaluation that help turn theory into working systems.

The book covers not just supervised learning, but also clustering, topic modeling, metric learning, learning to rank, and recommendation systems, giving you a complete toolkit for solving modern machine learning challenges.

This isn't just another theoretical textbook. Every chapter reflects the author's real-world experience, focusing on techniques that work in practice. Whether you're building a recommendation system, analyzing customer data, or working with images and text, you'll find practical guidance here.

This isn't a high-level overview either. The book explores each concept with precisely the right level of technical detail-enough to create those crucial a-ha! moments of understanding, but not so much that you get overwhelmed by mathematical notation or theoretical abstractions. It hits that sweet spot where complex ideas click into place naturally, making it valuable for both newcomers looking to build a strong foundation and experienced practitioners seeking to expand their toolkit.

What's Inside

• Supervised and unsupervised learning algorithms and neural networks
• Algorithm and math explained intuitively without losing important detail
• Practical techniques for model building, troubleshooting, and evaluation
• Advanced topics like ensembles, recommender systems, metric learning, and more

About the Reader

The book assumes a basic foundation in college-level mathematics. However, it's entirely self-contained, introducing all necessary mathematical concepts through intuitive explanations. This approach ensures that readers with basic mathematical knowledge can follow along without getting lost in complex equations.

Endorsed by Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world, Aurélien Géron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, and other industry leaders.

Read endorsements on themlbook.com

As AI continues to transform our world, educators have a responsibility to stay current with the changes, and ensure that students have the necessary knowledge and skills to succeed in the future. Written by an educator who is currently teaching on this topic, How to Teach AI shares practical strategies and tools based on what good practice looks like in the classroom right now. Readers will build confidence in integrating AI into their curriculum so they can effectively prepare students for their careers.

Taking a friendly and accessible approach, the book covers a range of topics related to AI, such as machine learning, robotics and natural language processing, and includes examples of how these technologies are being implemented in different industries and their impact on education. The book includes a chapter dedicated to the ethics of AI, addressing issues around bias, intellectual property, student data privacy and more.

The book includes:

• Ideas for using generative AI in the classroom and tips for writing effective prompts.
• Activity ideas across content areas, including computer science, economics, literature, music and more.
• Time-saving ideas for teachers, and study aids for students to explore.
• AI-powered tool recommendations for teachers.
• Questions for reflection in every chapter.

Audience: Elementary and secondary educators and technology coaches

An accessible, practical guide to incorporating 12 essential EdTech skills and strategies in every learning setting--expanded and updated for the AI era.

In a world awash in technology, what EdTech skills and strategies should educators focus on to ensure they are making the best use of online spaces for classroom learning? How can they sift through the overwhelming number of options in digital tools and platforms? How can they guide students in learning best practices--especially now that generative artificial intelligence (AI) has transformed the landscape?

EdTech consultant Monica Burns answers these and other questions in this powerful and reader-friendly guide to incorporating EdTech across all grade levels and subject areas. This second edition is updated and expanded to help educators meet the needs of students amid the proliferation of apps that leverage AI, the easy access we all have to chatbots, and the clear need for educators and students to understand the implications of AI. Readers will gain practical advice on

* Navigating online spaces effectively
* Curating resources to support every student
* Generating ideas and resources with AI
* Evaluating digital content with an AI mindset
* Exploring the world with students
* Collaborating across digital spaces
* Creating multimodal artifacts of learning
* Assessing to check for understanding and pivot instruction
* Sharing student creations in big and small ways
* Connecting students to authentic audiences
* Transferring skills across digital spaces
* Planning for tech-rich learning experiences

Each chapter explains why the skill or strategy is essential, including supporting research, classroom examples, guiding questions for planning and reflection, and suggested websites and digital tools for classroom use. The book also includes access to downloadable forms to help you set goals, assess your progress, and equip your EdTech tool belt.

Timely, accessible, and informed by the author's experience and expertise, EdTech Essentials, 2nd Edition, is a must-read for educators who want proven ways to prepare their students to be productive, responsible users of technology both within and outside the classroom.

This second edition is a copublication of ASCD and ISTE.

What is the impact of chatGPT on your classroom? Should you be concerned? Should you use it or not?

In the book, 80 Ways to Use ChatGPT in the Classroom: Using AI to Enhance Teaching and Learning, Dr. Stan Skrabut, an instructional technologist and designer, explores these topics and much more. He presents different ways to incorporate chatGPT into the classroom, including preparation for classes, providing instructional assistance, creating assessments, developing study aids, and using chatGPT for computer programming. The book also covers how students can use chatGPT for writing assistance, research, and personalized learning.

Stan provides practical examples and suggestions to help educators fully utilize chatGPT's capabilities while addressing potential concerns and criticisms. The book aims to show that AI can enhance teaching and learning and encourages educators to embrace this technology in the classroom. See what the uproar is about!

Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling, DNA sequencing, and machine learning. Arguing that every educated person today needs to have some understanding of algorithms and what they do, in this volume in the MIT Press Essential Knowledge series, Panos Louridas offers an introduction to algorithms that is accessible to the nonspecialist reader. Louridas explains not just what algorithms are but also how they work, offering a wide range of examples and keeping mathematics to a minimum.

After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning. Finally, Louridas describes how all algorithms are nothing more than simple moves with pen and paper, and how from such a humble foundation rise all their spectacular achievements.

Assessment is overdue for a technology-supported reboot, and this practical guide will help you do just that. Within its pages, you'll discover a technology-supported and balanced approach to assessment for learning that includes conversations and performance-based observations as key components. Real-world case studies and differentiated implementation options are available throughout the book to help you identify your current level of knowledge, gain confidence, and hone your skills.

Use this book to guide your journey to effective performance-based assessment:

• Understand how balanced classroom assessment leads to deeper student engagement, greater equity, and increased reliability.
• Discover the role of formative and summative assessments and how to use triangulation to assess student learning outcomes.
• Watch video clips that feature real-life teachers and students implementing balanced assessment in the classroom.
• Learn how to develop positive relationships with students and create a learning environment characterized by trust and collaboration.
• Understand how to use technology and digital evidence to support assessment, including student self-assessment and peer assessment.
• Rely on the teacher-readiness scale to help you identify your comfort level with the types of assessment and approaches within the book.

Contents:
Introduction
Chapter 1: Why Is Balanced Assessment Important?
Chapter 2: How Do I Plan Balanced Assessments?
Chapter 3: How Do I Assess Through Observation and Conversation?
Chapter 4: How Can I Use Technology to Benefit Assessment?
Chapter 5: How Do I Use a VOCAL Approach to Improve Learning?
Chapter 6: How Do I Communicate About Learning in the Digital Age?
Epilogue
Appendix
References and Resources
Index

A Foundation in Computers & Software That's Easy to Understand.

Computers Made Easy is designed to take your overall computer skills from a beginner to the next level, and beyond. This book will give you a top level understanding of how to use your PC without a needing a background in computers. This easy to use, step by step guide will help you navigate your way to becoming proficient with computers, operating systems (Windows 10 & 11), hardware and software.

Introduction
Chapter 1 - What is a Computer?
Chapter 2 - Computer Peripherals
Chapter 3 - Microsoft Windows
Chapter 4 - Software
Chapter 5 - Printers
Chapter 6 - The Internet
Chapter 7 - Email
Chapter 8 - Office Productivity Software
Chapter 9 - Antivirus and Antispyware Software
Chapter 10 - Avoiding Scams
Chapter 11 - Error Messages, Crashes, & Troubleshooting
Chapter 12 - Wi-Fi and Internet Troubleshooting
Chapter 13 - Backup and Protection
Chapter 14 - Security
Chapter 15 - Cloud Storage
Chapter 16 - Basic Networking
What's Next?

About the Author

James Bernstein has been working with various companies in the IT field for over 20 years, managing technologies such as SAN and NAS storage, VMware, backups, Windows Servers, Active Directory, DNS, DHCP, Networking, Microsoft Office, Exchange, and more.

He has obtained certifications from Microsoft, VMware, CompTIA, ShoreTel, and SNIA, and continues to strive to learn new technologies to further his knowledge on a variety of subjects.

He is also the founder of the website OnlineComputerTips.com, which offers its readers valuable information on topics such as Windows, networking, hardware, software, and troubleshooting. James writes much of the content himself and adds new content on a regular basis. The site was started in 2005 and is still going strong today.

Tech Like a PIRATE helps provide the tools, ideas, and inspiration for educators to use technology as a treasure map to amazing learning. With a customizable set of principles for ensuring that technology is an asset, and not a barrier, Matt Miller's guidance will help all teachers - from the tech-savvy to the tech-terrified--create impactful, transformative learning using low- or no-cost equipment.

The rise of digital culture has left some teachers and their students distracted, divided, and overwhelmed. But Tech Like a PIRATE brings educators flexible strategies for creating classroom tech experiences that will electrify student engagement. You don't have to be a tech genius--just willing to try

Tech Like a PIRATE offers an accessible, engaging, and empowering toolkit for educators looking to innovate and engage their classes through technology. It's full of practical examples that are rooted in research, best practices, and solid pedagogy, and it's accompanied by a treasure trove of additional resources at DitchThatTextbook.com/TechLAP.

However, rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations. Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners.

This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.

New Updated Edition
This new edition also features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition. Readers of the Second Edition should not feel compelled to purchase this Third Edition.

Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and give a clear lay of the land.

In This Step-By-Step Guide You Will Learn
- How to download free datasets
- What tools and machine learning libraries you need
- Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data
- Preparing data for analysis, including k-fold Validation
- Regression analysis to create trend lines
- k-Means Clustering to find new relationships
- The basics of Neural Networks
- Bias/Variance to improve your machine learning mode
- Decision Trees to decode classification, and
- How to build your first Machine Learning Model to predict house values using Python

Frequently Asked Questions
Q: Do I need programming experience to complete this e-book?
A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see some programming used in this book.

Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition?
A: As the same topics from the Second Edition are covered in the Third Edition, you may be better served reading a more advanced title on machine learning. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author.

Q: Does this book include everything I need to become a machine learning expert?
A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.

I designed this book to be a survey of basic building blocks of Information Systems, and I based it on entry-level college courses that I have taught over the years. The material covers several baseline topics that are core to computer science and information technology. These topics include:

• An introduction and overview of computer hardware
• How software is built by industry today using the software development lifecycle.
• Cloud computing and the services that are offered by the leading vendors on the market today
• Computer security and,
• The future of computing and more
• 
  

This book is designed for anyone who wants to have more information about the information technology field and is ideal for someone just getting started. This book will give you a solid understanding of many of the concepts that drive one of the most important industries in today's world.

Featured by Tableau as the first of 7 Books About Machine Learning for Beginners.

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?

Well, hold on there...

Before you embark on your journey, there are some high-level theory and statistical principles to weave through first.

But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations.

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.

New Updated Edition

This new edition features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition.

Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and give a clear lay of the land.

In This Step-By-Step Guide You Will Learn:

- How to download free datasets

- What tools and machine learning libraries you need

- Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data

- Preparing data for analysis, including k-fold Validation

- Regression analysis to create trend lines

- k-Means Clustering to find new relationships

- The basics of Neural Networks

- Bias/Variance to improve your machine learning model

- Decision Trees to decode classification, and

- How to build your first Machine Learning Model to predict house values using Python

Frequently Asked Questions

Q: Do I need programming experience to complete this e-book? A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see some programming used in this book.

Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition?

A: As the same topics from the Second Edition are covered in the Third Edition, you may be better served reading a more advanced title on machine learning. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author.

Q: Does this book include everything I need to become a machine learning expert?

A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.

When Andrew imagines a new toy to help young kids beat boredom, Daddy congratulates him, You're like an engineer, kid. So begins the fun and easy to read exploration of engineers and their impact on our daily lives and the world!

Andrew Learns about Engineers, the fourth book in the Andrew's Career Day book series, is a great book and beginner career resource to introduce young children to the career of an engineer. Complete with phonetic assistance, an easy reader glossary, and diverse and inclusive images and images of engineering pioneers (think Garrett Morgan, Mae Jemison, Katherine Johnson!), your child will begin thinking of a possible career as an engineer and be in awe of engineers. This is the book to inspire STEM!

Andrew Learns about Engineers shows how special and important being an engineer is, which makes it a must have book for National Engineers Week (E-week), World Engineering Day and any day that celebrates engineers' contributions to society and exposes children to the profession.

• The FREE learning activities and supplemental lesson plan (for grades 1, 2 and 3) that accompany the book, makes Andrew Learns about Engineers an easy addition the classroom!

With artificial intelligence (AI), augmented reality (AR), virtual reality (VR), blockchain, non-fungible tokens (NFTs), the metaverse and Web3 being used in the world of work and education, students need opportunities to learn about, explore and create with emerging technologies. At the same time, educators need the right resources to stay current with the changes, and be able to provide the guidance students need to develop the skills that are essential today - and are likely to be in demand for the jobs of the future.

Based on a course developed by the author, this book explores how to create impactful learning experiences so that students can apply their knowledge to real-world problems, collaborate with peers from around the world and develop critical thinking skills, while expanding their understanding of the world and their place in it.

The book:

• Includes examples and activities to help educators who might feel overwhelmed by new technologies embrace these topics and bring new learning opportunities into their classes.
• Features vignettes from educators who have implemented some of the tools and practices shared in the book, highlighting their challenges, risks taken, failures experienced and the overall impact on learning.
• Offers a model in course creation by breaking down the author's thought process in developing a course on emerging technology and her preparation for teaching it.

Audience: Elementary and secondary educators and technology coaches

Kids deserve a better digital future. Help them create it.

When it comes to raising children in a digital world, every parent feels underprepared and overwhelmed. We worry that our children will become addicted to online games, be victims of cyberbullying, or get lost down the rabbit hole of social media. We warn them about all the things they shouldn't do online, but we don't do nearly enough to teach them the skills of digital well-being.

It's time to start a new conversation. In Digital for Good, EdTech expert Richard Culatta argues that technology can be a powerful tool for learning, solving humanity's toughest problems, and bringing us closer together. He offers a refreshingly positive framework for preparing kids to be successful in a digital world—one that encourages them to use technology proactively and productively—by outlining five qualities every young person should develop in order to become a thriving, contributing digital citizen:

• Be balanced: understand when and how much tech use is healthy
• Stay informed: discern between true and false information
• Be inclusive: treat others with respect and kindness online
• Be engaged: use tech to strengthen family relationships and community connections
• Stay alert: exercise caution and create safe digital spaces for others

This practical guide will help parents and children discover the path to becoming effective digital citizens, all while making our online world a better place.

Everyone knows it - spoken agreements aren't worth the paper they're written on. The IT Consultant today is facing changes we never imagined a few years ago. Managed services are everywhere. Franchised tech support is everywhere. And now big corporations are trying to compete in the Small Business Space. Whether you like it or not, you need to make some changes in order to meet the challenges of the next few years. Service agreements literally define your business. If you're not using them, you need to start today. If you are using them, great Just make sure that they truly represent who you are and how you want to define your business. Whether you sell your services hourly, in blocks of time, or with a Managed Services plan, you need a good service agreement. You need this book As with his other books, Karl gives you more than just the forms. This book includes best practices and lots of great information to help you run your business more prosperously Includes downloads of all the critical forms and agreements