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See below for a selection of the latest books from Examinations & assessment category. Presented with a red border are the Examinations & assessment books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Examinations & assessment books and those from many more genres to read that will keep you inspired and entertained. And it's all free!
This book examines the history of standardized testing in Ontario leading to the current context and its impact on racialized identities, particularly on Grade 3 students, parents, and educators. Using a theoretical argument supplemented with statistical trends, the author illuminates how EQAO tests are culturally and racially biased and promote a Eurocentric curriculum and way of life privileging white students and those from higher socio-economic status. This book spurs readers to further question the use of EQAO standardized testing and challenges us to consider alternative models which serve the needs of all students.
Every three years the world awaits the results of the Programme for International Student Assessment or PISA, the rankings of school systems overseen by the Organisation for Economic Co-operation and Development (OECD). Nations around the world look eagerly and apprehensively to see where their students rank on these tests of competence in, mainly, science, math and reading. This book provides a window into PISA and its power. What exactly is PISA? How are its tests developed? Who takes the test? What countries tend to outperform and which underperform? What do countries learn from PISA? Why is PISA both revered and feared? And, most importantly, does PISA improve education globally? The first PISA, in 2000, included 32 countries. In 2018, nearly eighty nations took part in PISA. That number is expected to double by 2030. This may mean that students in over 80% of the world's countries will take the PISA exams. This scenario has made PISA more important than ever. This book probes topics and themes related to the world's most important exam and why many view a high PISA ranking-rightly or wrongly-as global education's seal of approval. Because of this, PISA has been called a disruptor, a test which can trigger major reform in school systems around the world. But is it the PISA rankings that are the real disruptor or the decisions countries make because of their rankings? These decisions often involve systemic changes in teaching and learning which can substantially alter how a country measures and prioritizes its education system.
This book asks how we might conceptualise, design for and evaluate the impact of feedback in higher education. Ultimately, the purpose of feedback is to improve what students can do: therefore, effective feedback must have impact. Students need to be actively engaged in seeking, sense-making and acting upon any information provided to them in order to develop and improve. Feedback can thus be understood as not just the giving of information, but as a complex process integral to teaching and learning in which both teachers and students have an important role to play. The editors challenge us to ask two fundamental questions: when does feedback make a difference, and how can we recognise that impact? This volume draws together leading international researchers across diverse disciplines, offering promising directions for both research and practice.
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.
In Diversity, Funding, and Standardized Testing in American Education, noted education expert Jose Martinez's examines current aspects of inequality in American education, examining the complex nexus of funding, diversity, and the increasingly contentious role of standardized testing. A readable narrative format assesses the extensive documentation, which demonstrates that inequality is becoming entrenched throughout the education system, in no small measure due to biases in standardized testing systems. Students from kindergarten through university face the arising challenges while their environments are becoming more diverse. Funding levels in education are also posited as causes of inequality. This complements the view that standardized testing at all levels of education mirrors and exacerbates entrenched economic inequality. Education funding and standardized testing at all levels have thus become basic mechanisms that purposefully reproduce and maintain a two-tiered society. The solutions are not difficult to discern, as other societies can attest, but Martinez's thought-provoking new book moves toward engaging them.
Assessing English for Professional Purposes provides a state-of-the-art account of the various kinds of language assessments used to determine people's ability to function linguistically in the workplace. At a time when professional expertise is increasingly mobile and diverse, with highly trained professionals migrating across national boundaries to apply their skills in English-speaking settings, this book offers a renewed agenda for inquiry into Language Assessments for Professional Purposes (LAPP). Many of these experts work in high-risk environments where communication breakdowns can have serious consequences. This risk has been identified by governments and professional bodies who implement language tests for gate-keeping purposes. Through a sociological lens of risk and responsibility, this book: provides a detailed overview of both foundational and recent literature in the field; offers conceptual tools for specific purpose assessment including a socially-oriented theory of construct; develops theory and practice in key areas such as needs analysis, test development, validation and policy; significantly broadens the scope of the assessment of English for professional purposes to include a range of assessment practices for both professionals and laypeople in professional settings. Assessing English for Professional Purposes is key reading for researchers, graduate students and practitioners working in the area of English for Specific Purposes assessment.
This book addresses current issues related to the development, administration, scoring and usage of public examinations around the world.
South Korea is noted for hard-fought competition in university admission exams, which are widely believed to determine one's prospects and shape their takers' entire lives. Long after graduation, do admissions exams still influence social circumstances? In this book, Shin Arita validates this belief with vast amounts of sociological data. He traces the mechanisms that show the test's role in the formation of social strata.
This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.