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)
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.
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.
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.
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.
Now in its fifth edition, Student Services: A Handbook for the Profession has been hailed as a classic reference in the field. In this important resource, a new cast of student affairs scholars and practitioners examine the changing context of the student experience in higher education, the evolution of the role of student affairs professionals, and the philosophies, ethics, and theories that guide the practice of student affairs work. The fifth edition covers a broad range of relevant topics including historical roots and development of the profession, philosophies and ethical standards, legal issues, theoretical bases of the profession, organizing and managing student affairs programs, and essential competencies: leadership, multiculturalism, supervision, teaching, counseling and helping skills, advising and consultation, conflict resolution, community development, professionalism, and developing institutional partnerships. It also addresses the future of student affairs practice and how it is informed by student learning outcomes and technology. "The painstakingly thorough coverage of topics important to the profession of student affairs makes this handbook a valuable resource to the scholarly and practice communities of the profession." —John M. Braxton, professor, Higher Education Leadership and Policy Program, Peabody College, Vanderbilt University; editor, Journal of College Student Development "Continues three decades of excellence in providing a comprehensive set of resources that provides firm grounding for the higher education student affairs community in all aspects of our profession." —Michael J. Cuyjet, professor, Department of Educational and Counseling Psychology, University of Louisville "Casts an impressively wide net, thoroughly capturing critical topics and offering a deeply nuanced and technical, yet readily accessible narrative trajectory and study of student affairs in higher education." —Theresa A. Powell, vice president for student affairs, Temple University
"The Student Handbook is designed to provide students with ready access to information, with problem-solving techniques and study skill guides that enable them to utilize the information in the most efficient manner."--Amazon.com
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.
