LING300

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Language Learning, Teaching, and AI

Subject Code

LING

Course Number

300

FFC Requirement(s)

Humanities (HU), Technology-Intensive

Course Description

(Language Learning, Teaching, and AI Collaboration) This course offers a comprehensive exploration of language as a system, encompassing research findings on language learning and teaching, along with insights into the collaborative integration of AI in the classroom. Students investigate the subfields of linguistics, such as phonology, morphology, semantics, syntax, discourse and pragmatics, language acquisition, second-language research methods, and language pedagogy. This course is about how to use language acquisition research and generalizations derived from it to inform teaching practices and materials design. Those considering teaching in the future can reflect on how to apply both the emerging and ongoing developments, research, and trends, such as translanguaging pedagogy, TPR storytelling pedagogy in the field to classroom instruction. Furthermore, the course explores the intersection of education and artificial intelligence, fostering discussions on the role of AI in language learning with attention to questions of bias and equitable learning opportunity. While this course is particularly designed for students interested in investigating the most effective methods for language instruction, it is also geared to raise awareness of how languages are both taught and ascertained. No prerequisites.

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