Advanced Certificate in Language Assessment Applications
-- ViewingNowThe Advanced Certificate in Language Assessment Applications is a comprehensive course designed to equip learners with critical skills in language assessment. This certificate program emphasizes the importance of language assessment in various industries, including education, business, and healthcare.
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⢠Advanced Statistical Analysis: This unit covers the application of complex statistical methods to language assessment data. Topics may include generalized linear mixed models (GLMM), structural equation modeling (SEM), and item response theory (IRT).
⢠Rasch Measurement Theory: This unit delves into the specifics of Rasch measurement theory, a popular IRT model for language assessment. Students will learn about the unidimensionality, invariance, and sufficiency properties of Rasch models, as well as how to apply them in practice.
⢠Automated Speaking and Writing Assessment: This unit explores the use of technology in language assessment, specifically for the assessment of speaking and writing skills. Topics may include text-to-speech and speech-to-text technologies, machine learning algorithms, and automated essay scoring.
⢠Cutscore Setting and Standard Setting: This unit covers the process of setting cut scores and standards for language assessments. Students will learn about various standard-setting methods, such as the Angoff, Bookmark, and Hofstee methods, as well as how to apply them in practice.
⢠Test Design and Development: This unit covers the principles and practices of test design and development for language assessments. Topics may include test blueprints, item writing, and test administration.
⢠Assessment Validity and Reliability: This unit covers the concepts of validity and reliability in language assessment. Students will learn about different types of validity (e.g., content, criterion-related, construct), as well as reliability coefficients and their interpretation.
⢠Test Fairness and Bias: This unit covers the issues of test fairness and bias in language assessment. Students will learn about different sources of bias (e.g., cultural, linguistic, cognitive), as well as strategies for promoting fairness and reducing bias.
⢠Language Testing Policy and Practice: This unit covers the policy and practice of language testing in various contexts, such as education, immigration, and employment. Students will learn about the legal and ethical implications of language testing, as well as best practices for test administration and reporting.
⢠Advanced Language Testing Research: This unit covers the latest research and trends in language testing, including new assessment methods, technologies, and applications.
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