Richard Clark’s observation that “…media are mere vehicles that deliver instruction but do not influence student achievement any more than the truck that delivers our groceries causes changes in our nutrition” is as misunderstood today as it was when first published in the Review of Educational Research in 1983. The convincing if little read scientific evidence presented by Clark has divided the field and caused considerable concern, especially among the providers of newer media for learning. A collection of writings about the “media effects debate,” as it has come to be called, was published in 2001. Edited by Clark, Learning From Media was the first volume in the series “Perspectives in Instructional Technology and Distance Education.” The series editors are convinced that the writings of Clark and those who take issue with his position are of critical importance to the field of instructional technology, Thus, a revised, second edition of Learning From Media is now being offered. The debate about the impact of media on learning remains a fundamental issue as new mediated approaches to teaching and learning are developed, and Clark’s work should be at the center of the discussion. The critical articles on both sides of this debate are contained in Learning From Media, 2nd Edition.

An evidence based, rigorous text reviewing 12 principles of experimental studies grounded in cognitive theory of multi-media learning.

Inside, readers will find a wealth of intelligently crafted, ready-to-use lesson plans and activities designed to help promote critical thinking skills for K-12 students, making this a perfect teaching resource for school and public librarians, educators, and literacy instructors.

Routledge English Language Introductions cover core areas of language study and are one-stop resources for students. Assuming no prior knowledge, books in the series offer an accessible overview of the subject, with activities, study questions, sample analyses, commentaries, and key readings—all in the same volume. The innovative and flexible 'two-dimensional' structure is built around four sections—introduction, development, exploration, and extension— which offer self-contained stages for study. Each topic can also be read across these sections, enabling the reader to build gradually on the knowledge gained. This revised second edition of Language and Media: Provides an accessible introduction and comprehensive overview of the major approaches and methodological tools used in the study of language and media. Focuses on a broad range of media and media content from more traditional print and broadcast media formats to more recent digital media formats. Incorporates practical examples using real data, including newspaper articles, press releases, television shows, advertisements (print, broadcast, and digital), blogs, social media content, internet memes, culture jamming, and protest signs. Includes key readings from leading scholars in the field, such as Jan Blommaert, Sonia Livingstone, David Machin, Martin Montgomery, Ruth Page, Ron Scollon, and Theo van Leeuwen. Offers a wide range of activities, questions, and points for further discussion. The book emphasises the increasingly creative ways ordinary people are engaging in media production. It also addresses a number of urgent current concerns around media and media production/reception, including fake news, clickbait, virality, and surveillance. Features of the new edition include: Special attention on ‘new media’ forms such as websites, podcasts, YouTube videos, social media sites, and mobile apps such as Snapchat and Instagram; Additional material on: mobility and materiality in media, memes and virality, discourse processes in media production, collaborative production and user created content, reality TV, fake news, the role of algorithms and bots in media production and circulation, and media and resistance; Discussion of media surveillance, privacy boundaries, and the so-called ‘right to be forgotten’ related to Internet archiving; Brand new readings from key scholars in the field including Piia Varis, Jan Blommaert, Monika Bednarek and Martin Montgomery; Updated examples and references throughout, to reflect more contemporary issues. Written by three experienced teachers and authors, this accessible textbook is an essential resource for all students of English language and linguistics.

As social media and Web 2.0 technologies continue to transform the learning trends and preferences of students, educators need to understand the applicability of these new tools in all types of learning environments. Best Practices for Teaching with Emerging Technologies will provide both new and experienced online, hybrid, and face-to-face instructors with: practical examples of how low-cost and free technologies can be used to support student learning best practices for integrating web-based tools into a course management system and managing student privacy in a Web 2.0 environment "Showcase" spotlights woven throughout the book, providing examples of how the tools described in the book are already being used effectively in educational settings an easy-to-reference format, organized with visual icons used to delineate each tool's visual, video, voice, and mobile features ideas for integrating mobile learning into your students' learning experiences. This practical, easy-to-use guide will serve the needs of educators seeking to refresh or transform their instruction. Readers will be rewarded with an ample yet manageable collection of proven emerging technologies that can be leveraged for generating content, enhancing communications with and between students, and cultivating participatory, student-centered learning activities.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets