Assessment is a concept familiar across the field of education and is inherent to the work of professors, administrators, teachers, researchers, journalists, and scholars. A multifaceted and politically charged topic, assessment ranges from informal interactions with learners in classrooms to systematic high-stakes testing and examination. Written by a leading expert on assessment, this book situates the topic within the broader context of educational psychology research and theory and brings it to a wider audience. With chapters on the fundamentals of assessment, explanations of its uses, and advice for best application, this concise volume is designed for any education course that includes assessment in the curriculum. It will be indispensable for student researchers and both pre- and in-service teachers alike.

Assessment is a concept familiar across the field of education and is inherent to the work of professors, administrators, teachers, researchers, journalists, and scholars. A multifaceted and politically charged topic, assessment ranges from informal interactions with learners in classrooms to systematic high-stakes testing and examination. Written by a leading expert on assessment, this book situates the topic within the broader context of educational psychology research and theory and brings it to a wider audience. With chapters on the fundamentals of assessment, explanations of its uses, and advice for best application, this concise volume is designed for any education course that includes assessment in the curriculum. It will be indispensable for student researchers and both pre- and in-service teachers alike.

Using Self-Assessment to Improve Student Learning synthesizes research on self-assessment and translates it into actionable guidelines and principles for pre-service and in-service teachers and for school leaders, teacher educators, and researchers. Situated beyond the simple how-to frameworks currently available for teachers and graduate students, this volume illuminates self-assessment's complexities and substantial promise to strategically move students toward self-regulated learning and internalized goals. Addressing theory, empirical evidence, and common implementation issues, the book's developmental approach to quality self-assessment practices will help teachers, leaders, and scholars maximize their impact on student self-regulation and learning.

This open access book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA's Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries. While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics. Exploiting the richness of IEA's TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement. The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation.

Using Self-Assessment to Improve Student Learning synthesizes research on self-assessment and translates it into actionable guidelines and principles for pre-service and in-service teachers and for school leaders, teacher educators, and researchers. Situated beyond the simple how-to frameworks currently available for teachers and graduate students, this volume illuminates self-assessment's complexities and substantial promise to strategically move students toward self-regulated learning and internalized goals. Addressing theory, empirical evidence, and common implementation issues, the book's developmental approach to quality self-assessment practices will help teachers, leaders, and scholars maximize their impact on student self-regulation and learning.

The purpose of this book is to open a new approach to the design and implementation of classroom assessment and large scale assessment by examining how the participants (ie: teachers and students) actually understand what they are doing in assessment and make recommendations as to how improvements can be made to training, policy, and assessment innovations in the light of those insights. By marrying large-scale surveys, in-depth qualitative analyses, and sophisticated measurement techniques, new insights into teacher and student experience and use of assessment can be determined. These new insights will permit the design and delivery of more effective assessments. Further, it provides us an opportunity to examine whether conceiving of assessment in a certain way (eg: assessment improves quality or assessment is bad or deep learning cannot be assessed) actually contributes to higher or better educational outcomes.