Deeper Learning Through Technology

Use the Cloud to Individualize Your Instruction and Watch Your Students Thrive! Cloud-based technology offers massive benefits to the classroom. But technology tools require conscientious implementation by educators. This book is the all-in-one resource you need to be sure your students reap the fullest rewards of how cloud-based tools can facilitate learning. In Deeper Learning Through Technology, teacher and top ed-blogger Ken Halla explains: How to implement new tech tools to create a self-paced, learner-centered classroom Strategies for leveraging cloud technology to ensure that students have access to an individualized, personalized education Real-life case studies and activities that will make applying the book’s strategies to your classroom enjoyable and achievable

Use the Cloud to Individualize Your Instruction and Watch Your Students Thrive! The advent of cloud-stored data that can be entered, changed, and accessed anywhere is a development full of potential for today’s classroom. This book is the all-in-one resource you need to be sure your students reap the fullest rewards from cloud-based developments. Teacher and top ed-blogger Ken Halla explains: Strategies for leveraging the cloud to create a self-paced, learner-centered classroom How to take advantage of tech tools to facilitate learning Real-life case studies and activities to ensure an enjoyable implementation experience. Stay ahead of the curve with Ken Halla’s strategies, which you can implement the next morning. "Halla′s book, written from practitioner experience, provides practical and simple integration techniques that will assist both novice and experienced teachers incorporate technology to enhance student learning." —Eric Sheninger, author of Digital Leadership, Changing Paradigms for Changing Times "This is a must read--a detailed nuts and bolts guide to classroom tools in the cloud." —Michael B. Horn, Co-Founder and Director, Christensen Institute Author of Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns. "Whether you are an ed tech veteran or just getting started, Halla′s book will help you tailor learning to meet the needs of your students. This book will help you create the learner-focused classroom you want to build! A must-have resource for today′s teachers!" —Jaime Casap, Global Education Evangelist Google

"By embracing technology in the classroom instead of ignorning or banning it, every educator can promote deeper learning across all subjects and grade levels. Using the 4 Shifts Protocol, 'Harnessing Technology for Deeper Learning' imparts valuable strategies for avoiding missteps, overcoming implemention challenges, and (re)designing instruction that is both meaningful and engaging".

Education authorities from around the globe explore deeper learning, a process that promotes higher-order thinking, reasoning, and problem solving to better educate students and prepare them for college and careers. Relying on research as well as their own experience, the authors show how to use intensive curriculum, instruction, assessment, and leadership practices to meet the needs of 21st century learners.

Far too often, our students attain only a superficial level of knowledge that fails to prepare them for deeper challenges in school and beyond. In Teaching for Deeper Learning, renowned educators and best-selling authors Jay McTighe and Harvey F. Silver propose a solution: teaching students to make meaning for themselves. Contending that the ability to "earn" understanding will equip students to thrive in school, at work, and in life, the authors highlight seven higher-order thinking skills that facilitate students' acquisition of information for greater retention, retrieval, and transfer. These skills, which cut across content areas and grade levels and are deeply embedded in current academic standards, separate high achievers from their low-performing peers. Drawing on their deep well of research and experience, the authors - Explore what kind of content is worth having students make meaning about. - Provide practical tools and strategies to help teachers target each of the seven thinking skills in the classroom. - Explain how teachers can incorporate the thinking skills and tools into lesson and unit design. - Show how teachers can build students' capacity to use the strategies independently. If our goal is to prepare students to meet the rigorous demands of school, college, and career, then we must foster their ability to respond to such challenges. This comprehensive, practical guide will enable teachers to engage students in the kind of learning that yields enduring understanding and valuable skills that they can use throughout their lives.

"In an era where personalized learning has often come to be associated with isolated one-to-one device technology, we thirst for this personal, constructivist, collaborative approach to digital inquiry." --Stephanie Harvey From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K-5 reveals the powerful learning that results when you integrate purposeful technology into a classroom culture that values curiosity and deep learning. The centerpiece of this practical guide is Personal Digital Inquiry (PDI), a framework developed by Julie Coiro and implemented in classrooms by her co-authors, Elizabeth Dobler and Karen Pelekis. Clear, detailed examples offer ideas for K-5 teachers and school librarians to support their teaching. Personal emphasizes the significance of the personal relationship between teachers and students, and the role that students have in the learning process. Digital reflects the important role that digital texts and tools have come to play in both learning and teaching with inquiry. Inquiry lies at the core of PDI, because learners grow and change with opportunities to identify problems, generate personal wonderings, and engage in collaborative dialogue, making learning relevant and lasting. From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K-5 shows you how to integrate inquiry with a range of digital tools and resources that will create a dynamic classroom for both you and your students.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Preparing Teachers for Deeper Learning answers an urgent call for teachers who educate children from diverse backgrounds to meet the demands of a changing world. In today’s knowledge economy, teachers must prioritize problem-solving ability, adaptability, critical thinking, and the development of interpersonal and collaborative skills over rote memorization and the passive transmission of knowledge. Authors Linda Darling-Hammond and Jeannie Oakes and their colleagues examine what this means for teacher preparation and showcase the work of programs that are educating for deeper learning, equity, and social justice. Guided by the growing knowledge base in the science of learning and development, the book examines teacher preparation programs at Alverno College, Bank Street College of Education, High Tech High’s Intern Program, Montclair State University, San Francisco Teacher Residency, Trinity University, and University of Colorado Denver. These seven programs share a common understanding of how people learn that shape similar innovative practices. With vivid examples of teaching for deeper learning in coursework and classrooms; interviews with faculty, school partners, and novice teachers; surveys of teacher candidates and graduates; and analyses of curriculum and practices, Preparing Teachers for Deeper Learning depicts transformative forms of teaching and teacher preparation that honor and expand all students’ abilities, knowledges, and experiences, and reaffirm the promise of educating for a better world.

New Pedagogies for Deep Learning (NDPL) provides a comprehensive strategy for systemwide transformation. Using the 6 competencies of NDPL and a wealth of vivid examples, Fullan re-defines and re-examines what deep learning is and identifies the practical strategies for revolutionizing learning and leadership.