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This book examines assessment, testing and evaluation within English-medium education contexts globally. It explores how assessments can effectively measure learning outcomes, integrating both content mastery and language proficiency in multilingual and multicultural classrooms. It features contributions from diverse experts worldwide and offers a comprehensive analysis of assessment practices, emerging trends and their implications for teaching and learning. The authors emphasise inclusivity, equity and effectiveness in English-medium instruction (EMI) assessment. The chapters address a range of topics within assessment, including designing assessments for both content and language goals; addressing challenges in EMI assessment; and incorporating emerging practices such as formative assessments and translanguaging. The book also discusses policy influences on EMI assessment, teacher assessment literacy and the role of innovative technologies like AI in EMI assessments. It provides practical examples and strategies, aiming to enhance EMI assessment practices and bridge the gap between theory and classroom implementation.
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This book examines assessment, testing and evaluation within English-medium education contexts globally. It explores how assessments can effectively measure learning outcomes, integrating both content mastery and language proficiency in multilingual and multicultural classrooms. It features contributions from diverse experts worldwide and offers a comprehensive analysis of assessment practices, emerging trends and their implications for teaching and learning. The authors emphasise inclusivity, equity and effectiveness in English-medium instruction (EMI) assessment. The chapters address a range of topics within assessment, including designing assessments for both content and language goals; addressing challenges in EMI assessment; and incorporating emerging practices such as formative assessments and translanguaging. The book also discusses policy influences on EMI assessment, teacher assessment literacy and the role of innovative technologies like AI in EMI assessments. It provides practical examples and strategies, aiming to enhance EMI assessment practices and bridge the gap between theory and classroom implementation.