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Title:
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USING LARGE LANGUAGE MODELS FOR ACADEMIC
WRITING INSTRUCTION: CONCEPTUAL DESIGN AND
EVALUATION OF THE SOCRAT PROJECT |
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Author(s):
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Lukas Spirgi and Sabine Seufert |
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ISBN:
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978-989-8704-61-0 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2024 |
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Edition:
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Single |
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Keywords:
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Academic Writing, Artificial Intelligence (AI), Text Genres, Large Language Model (LLM), Co-Creation |
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Type:
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Full |
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First Page:
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3 |
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Last Page:
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10 |
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Language:
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English |
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Cover:
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Full Contents:
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Paper Abstract:
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Academic writing has undergone significant evolution due to advancements in AI. Students are leveraging AI in diverse
ways for their studies. This study introduces a course design (SOCRAT) to teach students genre-based academic writing
through AI. Genre-based academic writing is an educational strategy instructing students in the writing techniques and
norms pertinent to their specific academic disciplines. AI is utilised as a personal training system and research assistant in
this proposed course design. Students require cognitive and metacognitive knowledge to effectively work with AI tools.
The SOCRAT design is based on the concept of mastery learning to ensure that students build their competencies. An initial
evaluation of the prompts developed for this design indicates that LLM can particularly assist students in analysing their
written text and providing suggestions for enhancement. This can help students develop their genre-based writing skills.
The models are not yet convincing for other types of tasks where the LLMs are required to give exact answers. |
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