本科生口译学习中的自我评估剖析:纵向聚类分析

Jing Liu, Wei Su
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引用次数: 0

摘要

有关自我评估的研究绝大多数都将其概念化为一种产品,并将学生视为同质群体,从而限制了我们对这一主题的理解。为了弥补这一不足,本研究旨在根据学生的自我评估来识别不同的学生特征,并研究自我评估与学生长期学习成绩之间的关系。研究采用纵向聚类分析和相关分析方法,对 52 名本科口译学生的定量数据进行了分析。结果发现了三种不同的学生特征:活跃型、跳跃型和不活跃型。活跃型学生的自我评估与学习成绩呈正相关,而跳跃型学生的自我评估与学习成绩呈负相关,不活跃型学生的自我评估与学习成绩呈波动相关。研究建议,教师应密切关注 "跃进型 "学生,因为他们的自我评估往往起伏不定,可能不利于学习。此外,研究结果还强调了以过程为基础、以人为本的方法对于理解自我评估的重要性,这种方法有助于探索自我评估的复杂性并认识到个体差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profiling Self-Assessment in Undergraduate Interpreting Learning: A Longitudinal Cluster Analysis

Research on self-assessment has overwhelmingly conceptualized it as a product and treated students as a homogeneous group, restraining our understanding of the topic. To address this gap, this study aimed to identify different student profiles based on their self-assessment and to examine how it related to their learning achievement over time. Quantitative data from 52 undergraduate interpreting students were analyzed using longitudinal cluster analysis and correlation analysis. Three distinct student profiles were identified: Active, Jumper, and Inactive. The Active Profile demonstrated a positive correlation between self-assessment and learning achievement, while the Jumper Profile showed a largely negative correlation, and the Inactive Profile showed volatile correlations. It is suggested that instructors should pay close attention to students in the Jumper Profile, as their self-assessment tends to fluctuate and may not be beneficial. Additionally, the findings highlight the importance of a process-based and person-driven approach to understanding self-assessment, which can help explore its complexity and recognize individual differences.

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