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Analyzing Research Trends in Self-Assessment within Korean EFL Education Using LDA Topic Modeling

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영문명
발행기관: 융합영어영문학회
저자명: Je-young Lee Yo-han Hwang
간행물 정보: 『융합영어영문학(구.English Reading and Teaching)』제9권 3호, 33~60쪽, 전체 28쪽
주제분류: 인문학 > 언어학
파일형태: PDF
발행일자: 2024.12.31

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국문 초록

This study analyzes research trends in self-assessment within the Korean EFL context using Latent Dirichlet Allocation (LDA) topic modeling, a data-driven approach to uncover thematic patterns in textual datasets. By examining 98 journal articles published between 1998 and 2023, five major themes were identified: student-centered evaluation in writing, self-assessment in classroom and language learning contexts, the role of teachers in assessment, proficiency and motivation in English learning, and skill-specific self-evaluation such as reading and listening. The findings highlight the diverse applications of self-assessment in fostering engagement, tracking progress, and enhancing metacognitive awareness. Teacher involvement is essential in supporting effective practices, while the alignment between self-assessment and formal evaluations reveals its diagnostic value. Furthermore, the study emphasizes self-assessment’s ability to create collaborative and learner-centered environments, particularly in EFL settings. This research provides a structured perspective on self-assessment trends, identifying areas for further exploration.

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키워드

자기평가 토픽모델링 잠재 디리클레 할당 연구동향 연구종합 self-assessment topic modeling Latent Dirichlet Allocation research trend research synthesis

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