This book reports the design, execution, and results of a cross-national study of classrooms in eight countries. Students were administered tests and completed questionnaires at the beginning and the end of the study. Teachers also completed questionnaires. Classrooms were visited by trained observers on the average of eight times during the study. The data were analyzed in a variety of ways: simple summaries, sequential analyses, and multivariate analyses. The results of these analyses are presented and discussed. Conclusions based on these findings as well as recommendations for further research are presented.

Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. - Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection - Presents models and methods for identifying unmarked individuals and species - Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses - Includes companion website containing data sets, code, solutions to exercises, and further information

This book was designed to provide secondary educators with a practical guide to classroom management practices. Today's educators are confronted by a myriad of complex issues impacting students' behavioral conduct in school. Without adequate training and assistance, problems managing student behavior will result. The Ecological Model system presented in our book offers an integrated approach to succeed with secondary students in any community or school environment.

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods.This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution* abundance models based on many sampling protocols, including distance sampling* capture-recapture models with individual effects* spatial capture-recapture models based on camera trapping and related methods* population and metapopulation dynamic models* models of biodiversity, community structure and dynamics - Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) - Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis - Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS - Computing support in technical appendices in an online companion web site

Recent worldwide education policy has reinvented teachers as agents of change and professional developers of the school curriculum. Academic literature has analyzed changes in how teacher professionalism is conceived in policy and in practice but Teacher Agency provides a fresh perspective on this issue, drawing upon an ecological theory of agency. Using this model for understanding agency, Mark Priestley, Gert Biesta and Sarah Robinson explore empirical findings from the 'Teacher Agency and Curriculum Change' project, funded by the UK-based Economic and Social Research Council (ESRC). Drawing together this research with the authors' international experiences and perspectives, Teacher Agency addresses theoretical and practical issues of international significance. The authors illustrate how teacher agency should be understood not only in terms of individual capacity of teachers, but also in respect of the cultures and structures of schooling.

Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.

Creating an inclusive classroom means understanding federal legislation as well as national and state standards, but the practical and streamlined seventh edition of Creating Inclusive Classrooms: Effective and Reflective Practices recognizes that it means more than that. This text goes beyond the typical inclusion text, translating theory and research into practices you can use in your inclusive classroom by illustrating the principles of effective inclusion through classroom scenarios, online footage, and successful strategies. The text has the most current vision of today's inclusive classroom, which truly helps you create a successful educational experience for all students. New to This Edition: *NEW UDL and You features throughout the text guide you in understanding and implementing the principles of universal design to help all learners access the general education curriculum and succeed in inclusive classrooms.

Social problems in many domains, including health, education, social relationships, and the workplace, have their origins in human behavior. The documented links between behavior and social problems have compelled governments and organizations to prioritize and mobilize efforts to develop effective, evidence-based means to promote adaptive behavior change. In recognition of this impetus, The Handbook of Behavior Change provides comprehensive coverage of contemporary theory, research, and practice on behavior change. It summarizes current evidence-based approaches to behavior change in chapters authored by leading theorists, researchers, and practitioners from multiple disciplines, including psychology, sociology, behavioral science, economics, philosophy, and implementation science. It is the go-to resource for researchers, students, practitioners, and policy makers looking for current knowledge on behavior change and guidance on how to develop effective interventions to change behavior.

Quantitative models are crucial to almost every area of ecosystem science. They provide a logical structure that guides and informs empirical observations of ecosystem processes. They play a particularly crucial role in synthesizing and integrating our understanding of the immense diversity of ecosystem structure and function. Increasingly, models are being called on to predict the effects of human actions on natural ecosystems. Despite the widespread use of models, there exists intense debate within the field over a wide range of practical and philosophical issues pertaining to quantitative modeling. This book--which grew out of a gathering of leading experts at the ninth Cary Conference--explores those issues. The book opens with an overview of the status and role of modeling in ecosystem science, including perspectives on the long-running debate over the appropriate level of complexity in models. This is followed by eight chapters that address the critical issue of evaluating ecosystem models, including methods of addressing uncertainty. Next come several case studies of the role of models in environmental policy and management. A section on the future of modeling in ecosystem science focuses on increasing the use of modeling in undergraduate education and the modeling skills of professionals within the field. The benefits and limitations of predictive (versus observational) models are also considered in detail. Written by stellar contributors, this book grants access to the state of the art and science of ecosystem modeling.