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How do we fairly assess English learners in diverse educational contexts? In this episode of The TOEFL Speaking Prep Podcast for the AI Era, we explore groundbreaking research from Iran that challenges traditional speaking rubrics.

A team of high school teachers and university professors collaborated to develop a localized rubric—one designed specifically for Iranian students preparing for high-stakes exams like the TOEFL. By analyzing existing assessment frameworks, they crafted a system that balances pronunciation, vocabulary, grammar, and fluency in a way that truly reflects student abilities.

But that’s not all. We also examine how AI-powered tools like Speech Rater could revolutionize speaking assessments, making feedback more personalized and accessible. Could this research reshape language testing worldwide?

Tune in for a deep dive into personalized assessment, AI in language learning, and the future of speaking evaluations.

🎧 Listen now and join the conversation!

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