This book provides an overview of science education policies, research and practices in mainland China, with specific examples of the most recent developments in these areas. It presents an insiders' report on the status of Chinese science education written primarily by native speakers with first-hand experiences inside the country. In addition, the book features multiple sectional commentaries by experts in the field that further connect these stories to the existing science education literature outside of China. This book informs the international community about the current status of Chinese science education reforms. It helps readers understand one of the largest science education systems in the world, which includes, according to the Programme for International Student Assessment, the best-performing economy in the world in science, math and reading: Shanghai, China. Readers gain insight into how science education in the rest of China compares to that in Shanghai; the ways Chinese science educators, teachers and students achieve what has been accomplished; what Chinese students and teachers actually do inside their classrooms; what educational policies have been helpful in promoting student learning; what lessons can be shared within the international science education community; and much more. This book appeals to science education researchers, comparative education researchers, science educators, graduate students, state science education leaders and officers in the international communities. It also helps Chinese students and faculty of science education discover effective ways to share their science education stories with the rest of the world.

This edited volume presents latest development in applications of Rasch measurement in science education.  It includes a conceptual introduction chapter and a set of individual chapters.  The introductory chapter reviews published studies applying Rasch measurement in the field of science education and identify important principles of Rasch measurement and best practices in applications of Rasch measurement in science education.  The individual chapters, contributed by authors from Canada, China, Germany, Philippines and the USA, cover a variety of current topics on measurement concerning science conceptual understanding, scientific argumentation, scientific reasoning, three-dimensional learning, knowledge-in-use and cross-cutting concepts of the Next Generation Science Standards, medical education learning experiences, machine-scoring bias, formative assessment, and teacher knowledge of argument. There are additional chapters on advances in Rasch analysis techniques and technology including R, Bayesian estimation, comparison between joint maximum likelihood (JML) and marginal maximum likelihood (MML) estimations on model-data-fit, and enhancement to Rasch models by Cognitive Diagnostic Models and Latent Class Analysis. The volume provides readers who are new and experienced in applying Rasch measurement with advanced and exemplary applications in the forefront of various areas of science education research.

For many people, a high standard for student learning is desirable. This is what underlies current standard-based science education reforms around the world. As someone who was born and brought up in a less-privileged home and educated in a resource-limited school environment in a developing country, I always had to study hard to meet various standards from elementary to high school to univ- sity. My first book in English published over 10 years ago (Liu, X. [1996]. Mathematics and Science Curriculum Change in the People's Republic of China. Lewiston, NY: The Edwin Mellen Press) provided me an opportunity to examine standards (i. e. , Chinese national science teaching syllabi) from a historical and political point of view. I argued that standards are developed for particular poli- cal agendas in order to maintain the privileged position of certain groups (i. e. , urban residents) in a society at expenses of others (i. e. , rural residents). Thus, underneath standards is systematic discrimination and injustice. Since then, I have had opportunities to study the issue of standards in much more breadth and depth. This book, Linking Competence to Opportunities to Learn: Models of Competence and data mining, provides me an opportunity to examine standards from a different perspective: opportunity to learn.

A volume in Science & Engineering Education Sources Series Editor Calvin S. Kalman, Concordia University This book meets a demand in the science education community for a comprehensive and introductory measurement book in science education. It describes measurement instruments reported in refereed science education research journals, and introduces the Rasch modeling approach to developing measurement instruments in common science assessment domains, i.e. conceptual understanding, affective variables, science inquiry, learning progression, and learning environments. This book can help readers develop a sound understanding of measurement theories and approaches, particularly Rasch modeling, to using and developing measurement instruments for science education research. This book is for anyone who is interested in knowing what measurement instruments are available and how to develop measurement instruments for science education research. For example, this book can be a textbook for a graduate course in science education research methods; it helps graduate students develop competence in using and developing standardized measurement instruments for science education research. For use as a textbook there are summaries and exercises at the end of each chapter. Science education researchers, both beginning and experienced, may use this book as a reference for locating available and developing new measurement instruments when conducting a research study.

This book meets a demand in the science education community for a comprehensive and introductory measurement book in science education. It describes measurement instruments reported in refereed science education research journals, and introduces the Rasch modeling approach to developing measurement instruments in common science assessment domains, i.e. conceptual understanding, affective variables, science inquiry, learning progression, and learning environments. This book can help readers develop a sound understanding of measurement theories and approaches, particularly Rasch modeling, to using and developing measurement instruments for science education research. This book is for anyone who is interested in knowing what measurement instruments are available and how to develop measurement instruments for science education research. For example, this book can be a textbook for a graduate course in science education research methods; it helps graduate students develop competence in using and developing standardized measurement instruments for science education research. Science education researchers, both beginning and experienced, may use this book as a reference for locating available and developing new measurement instruments when conducting a research study.

This book provides an overview of science education policies, research and practices in mainland China, with specific examples of the most recent developments in these areas. It presents an insiders' report on the status of Chinese science education written primarily by native speakers with first-hand experiences inside the country. In addition, the book features multiple sectional commentaries by experts in the field that further connect these stories to the existing science education literature outside of China. This book informs the international community about the current status of Chinese science education reforms. It helps readers understand one of the largest science education systems in the world, which includes, according to the Programme for International Student Assessment, the best-performing economy in the world in science, math and reading: Shanghai, China. Readers gain insight into how science education in the rest of China compares to that in Shanghai; the ways Chinese science educators, teachers and students achieve what has been accomplished; what Chinese students and teachers actually do inside their classrooms; what educational policies have been helpful in promoting student learning; what lessons can be shared within the international science education community; and much more. This book appeals to science education researchers, comparative education researchers, science educators, graduate students, state science education leaders and officers in the international communities. It also helps Chinese students and faculty of science education discover effective ways to share their science education stories with the rest of the world.

This book contains papers presented at the International Conference on Science Education 2012, ICSE 2012, held in Nanjing University, Nanjing, China. It features the work of science education researchers from around the world addressing a common theme, Science Education: Policies and Social Responsibilities.The book covers a range of topics including international science education standards, public science education and science teacher education. It also examines how STEM education has dominated some countries science education policy, ways brain research might provide new approaches for assessment, how some countries are developing their new national science education standards with research-based evidence and ways science teacher educators can learn from each other.Science education research is vital in the development of national science education policies, including science education standards, teacher professional development and public understanding of science. Featuring the work of an international group of science education researchers, this book offers many insightful ideas, experiences and strategies that will help readers better understand and address challenges in the field."

For many people, a high standard for student learning is desirable. This is what underlies current standard-based science education reforms around the world. As someone who was born and brought up in a less-privileged home and educated in a resource-limited school environment in a developing country, I always had to study hard to meet various standards from elementary to high school to univ- sity. My first book in English published over 10 years ago (Liu, X. [1996]. Mathematics and Science Curriculum Change in the People's Republic of China. Lewiston, NY: The Edwin Mellen Press) provided me an opportunity to examine standards (i. e. , Chinese national science teaching syllabi) from a historical and political point of view. I argued that standards are developed for particular poli- cal agendas in order to maintain the privileged position of certain groups (i. e. , urban residents) in a society at expenses of others (i. e. , rural residents). Thus, underneath standards is systematic discrimination and injustice. Since then, I have had opportunities to study the issue of standards in much more breadth and depth. This book, Linking Competence to Opportunities to Learn: Models of Competence and data mining, provides me an opportunity to examine standards from a different perspective: opportunity to learn.

This book meets a demand in the science education community for a comprehensive and introductory measurement book in science education. It describes measurement instruments reported in refereed science education research journals, and introduces the Rasch modeling approach to developing measurement instruments in common science assessment domains, i.e. conceptual understanding, affective variables, science inquiry, learning progression, and learning environments. This book can help readers develop a sound understanding of measurement theories and approaches, particularly Rasch modeling, to using and developing measurement instruments for science education research. This book is for anyone who is interested in knowing what measurement instruments are available and how to develop measurement instruments for science education research. For example, this book can be a textbook for a graduate course in science education research methods; it helps graduate students develop competence in using and developing standardized measurement instruments for science education research. Science education researchers, both beginning and experienced, may use this book as a reference for locating available and developing new measurement instruments when conducting a research study.

A volume in Science & Engineering Education Sources Series Editor Calvin S. Kalman, Concordia University This book meets a demand in the science education community for a comprehensive and introductory measurement book in science education. It describes measurement instruments reported in refereed science education research journals, and introduces the Rasch modeling approach to developing measurement instruments in common science assessment domains, i.e. conceptual understanding, affective variables, science inquiry, learning progression, and learning environments. This book can help readers develop a sound understanding of measurement theories and approaches, particularly Rasch modeling, to using and developing measurement instruments for science education research. This book is for anyone who is interested in knowing what measurement instruments are available and how to develop measurement instruments for science education research. For example, this book can be a textbook for a graduate course in science education research methods; it helps graduate students develop competence in using and developing standardized measurement instruments for science education research. For use as a textbook there are summaries and exercises at the end of each chapter. Science education researchers, both beginning and experienced, may use this book as a reference for locating available and developing new measurement instruments when conducting a research study.

A concise science assessment text that helps K-12 teachers master the effective science assessment methods that lead to improved student learning Presenting both traditional and innovative assessment methods integral to science teaching and learning, Essentials of Science Classroom Assessment shows teachers the connection between effective science assessment and improved student learning. The text uses a competence-based approach consistent with the National Science Education Standards to help teachers master assessment skills, apply them to science classroom instruction, and evaluate their impact on student learning. Key Features and Benefits Provides practical examples from both elementary and secondary science classrooms to demonstrate how to design a wide variety of traditional and innovative assessment methods Presents case scenarios in each chapter that help teachers reflect on the assessment issues they will encounter in their own classrooms Includes end-of-chapter checklists and practice questions that allow readers to check their mastery of assessment skills before moving on, as well as annotated bibliographies that direct them to additional readings on topics of interest The Web-based Student study site provides electronic flashcards, practice quizzes, alternative assessment tasks, additional Web resources, and abstracts identifying more than forty common K-12 student preconceptions of science topics.