探索语文课堂参与的动力:对教学方法的批判性研究

Giulia Sulis
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引用次数: 0

摘要

参与决定了学习体验的深度和质量,因此被视为学习的重要组成部分。研究人员一致认为,语言学习中的 "投入 "有三个决定性的特征:以行动为导向、动态、依赖语境。随着时间的推移,学习者的参与度会随着学习环境的变化而变化。因此,通过研究真实学习情境中参与的时间动态,我们可以深入了解参与是如何随着时间的推移而激发和维持的。然而,关于语言学习参与度的现有研究大多依赖于横断面调查,没有在研究设计中明确考虑参与度的时间维度。本文利用在奥地利一所中学的一节英语课上收集到的定性数据,对三种不同的研究方法进行了批判性评估,这些方法可用于研究真实课堂生活背景下语言学习参与的时间动态:经验取样法(ESM)、视频强化观察法(VEO)和刺激回忆法。文章将反思每种研究方法的优势和挑战,说明其在奥地利语言课堂中的使用情况和产生的启示。最后,文章将提出一种综合方法,将三种方法的优势结合起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the dynamics of engagement in the language classroom: A critical examination of methodological approaches
Engagement defines the depth and quality of the learning experience, and is thus considered as an essential component of learning. Researchers agree on three defining characteristics of engagement in language learning; it is action-oriented, dynamic, and context-dependent. Engagement changes over time as learners interact with their environment. As such, by investigating the temporal dynamics of engagement in authentic learning contexts, we can gain insights into how engagement can be triggered and sustained over time. Yet, much of the existing research on language learning engagement has relied on cross-sectional surveys, without explicitly accounting for the temporal dimension of engagement in the research design. Furthermore, only a limited yet growing body of applied linguistics research to date has investigated engagement in authentic learning contexts and intact lessons.
Drawing on qualitative data collected during one English lesson in an Austrian middle school, this article critically evaluates three distinct research approaches that can be employed to examine the temporal dynamics of language learning engagement in the context of authentic classroom life: Experience Sampling Method (ESM), Video Enhanced Observation (VEO), and stimulated recall. The article will reflect on the advantages and challenges of each research approach, illustrating its use and the kind of insights generated in the Austrian language classroom. To conclude, the article will propose an integrated approach that combines the strengths of the three methods.
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