Advanced Certificate in Language Proficiency Analysis: Actionable Knowledge
-- ViewingNowThe Advanced Certificate in Language Proficiency Analysis: Actionable Knowledge is a comprehensive course that equips learners with the essential skills required for language proficiency analysis in today's globalized world. This certificate course is vital for professionals who need to assess language skills for recruitment, promotion, or educational purposes.
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• Advanced Language Theory · Understanding the theoretical frameworks and models that underpin language proficiency analysis, including Chomsky's generative grammar, Halliday's systemic functional linguistics, and other relevant approaches. • Practical Linguistic Analysis · Developing the skills to analyze language at various levels, including phonetics, phonology, morphology, syntax, semantics, and pragmatics. • Discourse Analysis · Learning how to analyze language in context, taking into account factors such as cohesion, coherence, and rhetorical structure. • Language Proficiency Testing · Understanding the principles, procedures, and best practices involved in designing and implementing language proficiency tests, including criteria for validity, reliability, and fairness. • Language Assessment Frameworks · Familiarizing with the most widely used language assessment frameworks, such as the Common European Framework of Reference for Languages (CEFR), the American Council on the Teaching of Foreign Languages (ACTFL) Proficiency Guidelines, and the International English Language Testing System (IELTS). • Language Data Analysis · Developing the skills to collect, analyze, and interpret language data using statistical methods and software tools. • Language Policy and Planning · Understanding the role of language proficiency analysis in language policy and planning, including issues related to language maintenance, shift, and revitalization. • Technology and Language Analysis · Exploring the latest technologies used in language analysis, such as natural language processing (NLP), computational linguistics, and corpus linguistics. • Ethical Considerations in Language Analysis · Examining the ethical issues involved in language analysis, such as informed consent, data privacy, and cultural sensitivity.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
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- ThreeFourHoursPerWeek
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