PERSONALIZED LANGUAGE LEARNING IN THE AGE OF AI. Leveraging Large Language Models for Optimal Learning Outcomes.
PERSONALIZED LANGUAGE LEARNING IN THE AGE OF AI. Leveraging Large Language Models for Optimal Learning Outcomes.
Abstract
In a new era marked by technological advancements and the AI boom, language learning is no
longer limited to the classrooms. The emergence of Large Language Models (LLMs) propels
further advancements within language learning, as well as creates space where learners can
engage in more personalized learning approaches, with the content dynamically adapted to
their individual needs. The thesis conducts a series of experiments involving curated learner
profiles with two prominent LLMs – ChatGPT and Gemini, to check whether the LLMs can
be utilized in language learning and also to what extent LLMs can foster Personalized
Language Learning (PLL) approaches. The experiments show that there is significant
potential in implementing LLMs within language learning, and that the LLMs are capable of
personalizing curriculum and teaching materials to accommodate diverse learner profiles. In
addition, the thesis identifies potential drawbacks, risks, and ethical considerations associated
with the integration of LLMs in PLL.
Degree
Student essay
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Date
2024-06-25Author
Zerkowska, Anika Milena
Keywords
Personalized Language Learning, Large Language Models, ChatGPT, Gemini, Learner Profiles
Language
eng