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Author: Beth Young
Publisher:
ISBN:
Category : Early childhood education
Languages : en
Pages : 356
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Book Description
This handbook establishes current and consistent terms, definitions, and classification codes to maintain, collect, report, and exchange comparable information about students. The handbook is useful to public and private agencies and educational institutions, researchers, policy makers, and members of the public interested in student data. The definitions are consistent with current state and local practice, national standards movements, and federal reporting requirements as a consensus of what is considered "best practice" in data collection. The Handbook includes these chapters: (1) "Introduction"; (2) "The Handbook"; (3) "Building a Student Record System"; (4) "Data Elements and Definitions"; and (5) "Applications of the Handbook." Twelve appendixes present comprehensive lists of coding options, code designations, and the names of contributors to this edition. (SLD)
Author: Beth Young
Publisher:
ISBN:
Category : Early childhood education
Languages : en
Pages : 356
Get Book Here
Book Description
This handbook establishes current and consistent terms, definitions, and classification codes to maintain, collect, report, and exchange comparable information about students. The handbook is useful to public and private agencies and educational institutions, researchers, policy makers, and members of the public interested in student data. The definitions are consistent with current state and local practice, national standards movements, and federal reporting requirements as a consensus of what is considered "best practice" in data collection. The Handbook includes these chapters: (1) "Introduction"; (2) "The Handbook"; (3) "Building a Student Record System"; (4) "Data Elements and Definitions"; and (5) "Applications of the Handbook." Twelve appendixes present comprehensive lists of coding options, code designations, and the names of contributors to this edition. (SLD)
Author: Sandra L. Christenson
Publisher: Springer Science & Business Media
ISBN: 1461420172
Category : Psychology
Languages : en
Pages : 839
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Book Description
For more than two decades, the concept of student engagement has grown from simple attention in class to a construct comprised of cognitive, emotional, and behavioral components that embody and further develop motivation for learning. Similarly, the goals of student engagement have evolved from dropout prevention to improved outcomes for lifelong learning. This robust expansion has led to numerous lines of research across disciplines and are brought together clearly and comprehensively in the Handbook of Research on Student Engagement. The Handbook guides readers through the field’s rich history, sorts out its component constructs, and identifies knowledge gaps to be filled by future research. Grounding data in real-world learning situations, contributors analyze indicators and facilitators of student engagement, link engagement to motivation, and gauge the impact of family, peers, and teachers on engagement in elementary and secondary grades. Findings on the effectiveness of classroom interventions are discussed in detail. And because assessing engagement is still a relatively new endeavor, chapters on measurement methods and issues round out this important resource. Topical areas addressed in the Handbook include: Engagement across developmental stages. Self-efficacy in the engaged learner. Parental and social influences on engagement and achievement motivation. The engaging nature of teaching for competency development. The relationship between engagement and high-risk behavior in adolescents. Comparing methods for measuring student engagement. An essential guide to the expanding knowledge base, the Handbook of Research on Student Engagement serves as a valuable resource for researchers, scientist-practitioners, and graduate students in such varied fields as clinical child and school psychology, educational psychology, public health, teaching and teacher education, social work, and educational policy.
Author: Q. Ethan McCallum
Publisher: "O'Reilly Media, Inc."
ISBN: 1449324975
Category : Computers
Languages : en
Pages : 265
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Book Description
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis
Author: Keengwe, Jared
Publisher: IGI Global
ISBN: 1799895653
Category : Education
Languages : en
Pages : 436
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Book Description
Active learning occurs when a learning task can be related in a non-arbitrary manner to what the learner already knows and when there is a personal recognition of the links between concepts. The most important element of active learning is not so much in how information is presented, but how new information is integrated into an existing knowledge base. In order to successfully implement active learning into higher education, its effect on student engagement must be studied and considered. The Handbook of Research on Active Learning and Student Engagement in Higher Education focuses on assessing the effectiveness of active learning and constructivist teaching to promote student engagement and provides a wide range of strategies and frameworks to help educators and other practitioners examine the benefits, challenges, and opportunities for using active learning approaches to maximize student learning. Covering topics such as online learning environments and engagement approaches, this major reference work is ideal for academicians, practitioners, researchers, librarians, industry professionals, educators, and students.
Author: Field Cady
Publisher: John Wiley & Sons
ISBN: 1119092949
Category : Mathematics
Languages : en
Pages : 420
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Book Description
A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.
Author:
Publisher:
ISBN:
Category : Children
Languages : en
Pages : 56
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Book Description
Author: Darci J. Harland
Publisher: NSTA Press
ISBN: 1936137410
Category : Science
Languages : en
Pages : 249
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Book Description
A comprehensive resource for high school teachers and students, STEM Student Research Handbook outlines the various stages of large- scale research projects, enabling teachers to coach their students through the research process.
Author: Beth Young
Publisher:
ISBN:
Category : Early childhood education
Languages : en
Pages : 176
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Book Description
Author: Margaret J. Barr
Publisher: Jossey-Bass
ISBN:
Category : Education
Languages : en
Pages : 592
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Book Description
Sponsored by the National Association of Student Personnel Administrators This comprehensive volume offers practitioners at all levels specific guidelines, strategies, and practical advice on how to effectively manage and administer the student affairs of diverse college and university campuses. Student affairs practitioners will find this book a valuable source of information on mastering the higher education political process, sharpening management conflict resolution skills, and advancing methods for assessing outcomes of programs and services.
Author: Rachel Brown-Chidsey
Publisher: Guilford Publications
ISBN: 1462522513
Category : Psychology
Languages : en
Pages : 361
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Book Description
Accessible and comprehensive, this book shows how to build a schoolwide multi-tiered system of support (MTSS) from the ground up. The MTSS framework encompasses tiered systems such as response to intervention (RTI) and positive behavioral interventions and supports (PBIS), and is designed to help all K-12 students succeed. Every component of an MTSS is discussed: effective instruction, the role of school teams, implementation in action, assessment, problem solving, and data-based decision making. Practitioner-friendly features include reflections from experienced implementers and an extended case study. Reproducible checklists and forms can be downloaded and printed in a convenient 8 1/2" x 11" size.
