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reading comprehension
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Read with Emora: Revolutionizing Children's Reading Comprehension Through An LLM-Powered Personalized Intelligent Tutoring System for Vocabulary, Grammar, and Context-Based Learning
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Year
Fall 2024
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School
Laney Graduate School
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Department / Specialty
Computer Science and Informatics
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Degree
M.S.
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Submission Type
Master's Thesis
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Research Field
Computer Science
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Education, Reading
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Committee
Emily Wall, Emory University
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Jinho Choi, Emory University
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Li Xiong, Emory University
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Keyword
elementary education
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intelligent tutoring system
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large language models
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reading comprehension
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tutoring
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