"How can educators determine the most effective approaches for measuring students' social-emotional and self-regulation skills? And how can they use the data to improve their own practice? This book brings together leading experts from multiple disciplines to discuss the current state of measurement and assessment of a broad range of noncognitive skills and present an array of innovative tools. Chapters describe measures targeting the individual student, classroom, whole school, and community; highlight implications for instructional decision making; examine key issues in methodology, practice, and policy; and share examples of systematic school- and district-wide implementation"--

Co-published in association with Big Picture Learning.Measuring Noncognitive Variables: Improving Admissions, Success, and Retention for Underrepresented Students is written for admissions professionals, counselors, faculty and advisers who admit, teach, or work with students during the admissions process and post-enrollment period. It brings together theory, research and practice related to noncognitive variables in a practical way by using assessment methods provided at no cost. Noncognitive variables have been shown to correlate with the academic success of students of all races, cultures, and backgrounds. Noncognitive variables include personal and social dimensions, adjustment, motivation, and student perceptions, rather than the traditional verbal and quantitative areas (often called cognitive) typically measured by standardized tests.Key Features include:* Models that raise concepts related to innovation, diversity and racism in proactive ways* Examples of admission and post-enrollment applications that show how schools and programs can use noncognitive variables in a variety of ways * Additional examples from foundations, professional associations, and K-12 programs* An overview of the limitations of traditional assessment methods such as admission tests, grades, and courses takenEducation professionals involved in the admissions process will find this guide effectively informs their practice. This guide is also appropriate as a textbook in a range of courses offered in Higher Education and Student Affairs Masters and PhD programs.

Children's social–emotional and self-regulation skills are critical for success in school and, ultimately, in the workplace. How can educators determine the most effective approaches for measuring students' interpersonal competencies? And how can they use the data to improve their own practice? Relevant for school leaders, educators, researchers, and other stakeholders, this book brings together leading experts from multiple disciplines to discuss the current state of measurement and assessment of a broad range of noncognitive skills and present an array of innovative tools. Chapters describe measures targeting the individual student, classroom, whole school, and community; highlight implications for instructional decision making; examine key issues in methodology, practice, and policy; and share examples of systematic school- and districtwide implementation.

Children's social–emotional and self-regulation skills are critical for success in school and, ultimately, in the workplace. How can educators determine the most effective approaches for measuring students' interpersonal competencies? And how can they use the data to improve their own practice? Relevant for school leaders, educators, researchers, and other stakeholders, this book brings together leading experts from multiple disciplines to discuss the current state of measurement and assessment of a broad range of noncognitive skills and present an array of innovative tools. Chapters describe measures targeting the individual student, classroom, whole school, and community; highlight implications for instructional decision making; examine key issues in methodology, practice, and policy; and share examples of systematic school- and districtwide implementation.

This book provides an overview of recent research on the relationship between noncognitive attributes (motivation, self efficacy, resilience) and academic outcomes (such as grades or test scores). We focus primarily on how these sets of attributes are measured and how they relate to important academic outcomes. Noncognitive attributes are those academically and occupationally relevant skills and traits that are not “cognitive”—that is, not specifically intellectual or analytical in nature. We examine seven attributes in depth and critique the measurement approaches used by researchers and talk about how they can be improved.

Students who are considered 'college- and career-ready' possess both the academic content knowledge and the 21st century skills, or 'noncognitive skills, ' esteemed by today's higher education institutions and global workforce. And while some K-12 schools have recently embraced pedagogies such as personalized learning that nurture noncognitive skills (Stecher & Hamilton, 2014), conventional assessment measures still do not include separate metrics for these skills: There is a mismatch between what is taught, what is measured, and what is valued. As a result, education researchers are calling for investigations into noncognitive skills measurement practices (Duckworth & Yeager, 2014; Pellegrino & Hilton, 2012). However, these calls do not underscore the effect of the learning environment. Because personalized learning environments claim to prioritize noncognitive skills development (Rickabaugh, 2016), they may be prime places to analyze contextualized measurement practices. This study focuses on three measurement practices (information capture, storage, and utilization) of three noncognitive skills (mindset, self-regulation, and grit) to pursue the research question: How do personalized learning environments measure students' noncognitive skills development? Data was collected from three Midwestern high school personalized learning environments via classroom observations and interviews with principals, teachers, and students. Results reveal a connection between the learning environment's design and its measurement practices. This connection shapes how personalized learning program structures, like interest-based design, lead to specific practices, including student-teacher conferences and long-term projects, that build outcomes of strong student-teacher relationships. Teachers use these relationships as a tool to measure noncognitive skills.

Both educators and their students are involved in the process of assessment – all parties are expected to meet and exceed expectations in the face of competing conditions. New practices are being developed to enhance students’ participation, especially in their own assessment, be it though peer-review, reflective assessment, the introduction of new technologies, or other novel solutions. Though widely researched, few have measured these innovations’ effectiveness in terms of satisfaction, perceived learning, or performance improvements. Innovative Practices for Higher Education Assessment and Measurement bridges the gap between political discourse, theoretical approach, and teaching practices in terms of assessment in higher education. Bringing new insights and presenting novel strategies, this publication brings forth a new perception of the importance of assessment and offers a set of successful, innovative practices. This book is ideal for educators, administrators, policy makers, and students of education.