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Author: Stephanie Paris
Publisher: Teacher Created Materials
Published: 2014-01-01
Total Pages: 10
ISBN-13: 1425879500
DOWNLOAD EBOOKThis lesson integrates academic vocabulary instruction into content-area lessons. Two easy-to-implement strategies for teaching academic vocabulary are integrated within the step-by-step, standards-based science lesson.
Author: Christine Dugan
Publisher: Teacher Created Materials
Published: 2011-06-01
Total Pages: 179
ISBN-13: 1425894305
DOWNLOAD EBOOKIntegrate academic vocabulary instruction into content-area lessons with this engaging new resource for Level 5, which provides teachers with 12 easy-to-implement strategies for teaching academic vocabulary. Included are 25 step-by-step standards-based lessons that each incorporate two vocabulary strategies. Also included are activity pages and assessments, an answer key, and a Teacher Resource CD. This resource is correlated to the Common Core State Standards. 176pp.
Author: Stephanie Paris
Publisher: Teacher Created Materials
Published: 2014-01-01
Total Pages: 11
ISBN-13: 1425879470
DOWNLOAD EBOOKThis lesson integrates academic vocabulary instruction into content-area lessons. Two easy-to-implement strategies for teaching academic vocabulary are integrated within the step-by-step, standards-based science lesson.
Author: Stephanie Paris
Publisher: Teacher Created Materials
Published: 2014-01-01
Total Pages: 11
ISBN-13: 1425879357
DOWNLOAD EBOOKThis lesson integrates academic vocabulary instruction into content-area lessons. Two easy-to-implement strategies for teaching academic vocabulary are integrated within the step-by-step, standards-based reading lesson.
Author: Christine Dugan
Publisher: Teacher Created Materials
Published: 2010-01-01
Total Pages: 282
ISBN-13: 1425891934
DOWNLOAD EBOOKBoost students' science vocabulary with easy-to-implement effective strategies! Sample lessons using each strategy are included for grade spans 1-2, 3-5, 6-8, and K-12 using vocabulary words from standards-based, content-specific units of study. Each notebook includes 25 research-based strategies, differentiation suggestions, assessment strategies, sample word lists including both specialized content and general academic words, and family letters in both English and Spanish. This resource is correlated to College and Career Readiness and other state standards.
Author: Camille Blachowicz
Publisher: Guilford Press
Published: 2013-04-15
Total Pages: 194
ISBN-13: 1462510299
DOWNLOAD EBOOKThis book showcases effective ways to build the vocabulary knowledge K-8 learners need to engage meaningfully in reading, writing, and discussion on academic subjects. The distinguished authors draw on decades of classroom experience to explain what academic vocabulary is, how it fits into the Common Core State Standards, and how targeting vocabulary can enhance conceptual understanding in English language arts, social studies, and math and science. Rich classroom vignettes, teaching tips, and examples of student work are included. The book also features helpful figures, word lists, discussion questions, and recommended print and online resources.
Author: Hellen Ward
Publisher: Paul Chapman Educational Publishing
Published: 2005-03-09
Total Pages: 180
ISBN-13: 9781412903417
DOWNLOAD EBOOKGrade level: 1, 2, 3, p, e, t.
Author: David S. Touretzky
Publisher: Morgan Kaufmann
Published: 2014-05-12
Total Pages: 417
ISBN-13: 1483214486
DOWNLOAD EBOOKConnectionist Models contains the proceedings of the 1990 Connectionist Models Summer School held at the University of California at San Diego. The summer school provided a forum for students and faculty to assess the state of the art with regards to connectionist modeling. Topics covered range from theoretical analysis of networks to empirical investigations of learning algorithms; speech and image processing; cognitive psychology; computational neuroscience; and VLSI design. Comprised of 40 chapters, this book begins with an introduction to mean field, Boltzmann, and Hopfield networks, focusing on deterministic Boltzmann learning in networks with asymmetric connectivity; contrastive Hebbian learning in the continuous Hopfield model; and energy minimization and the satisfiability of propositional logic. Mean field networks that learn to discriminate temporally distorted strings are described. The next sections are devoted to reinforcement learning and genetic learning, along with temporal processing and modularity. Cognitive modeling and symbol processing as well as VLSI implementation are also discussed. This monograph will be of interest to both students and academicians concerned with connectionist modeling.
