Tracking learner engagement in the L2 classroom with experience sampling

Hayo Reinders , Bradford J. Lee , Euan Bonner
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Abstract

Learner engagement is a major predictor of success in L2 acquisition (Hiver et al., 2021). It is therefore important to be able to measure and track engagement levels over time. This may provide theoretical insight into the conditions (both internal and external to the learner) in which engagement is more likely to occur, as well as offer implications for pedagogical practices to create such conditions. However, current research on L2 engagement suffers from a number of shortcomings: 1) Much of it is carried out in highly controlled research settings and lacks ecological validity, 2) Scaling, for example by increasing the number of research contexts or participants, is often impossible, 3) Current methods are often highly intrusive, for example requiring learners to interrupt learning activities in order to respond to questions, 4) Many studies are of short duration and thus unable to capture variation over time, and, 5) Many studies only investigate small student populations in a single environment. To overcome these shortcomings, we designed a mobile application for use by teachers in class to record L2 engagement levels through experience sampling, a method used to collect data on learner experiences in-the-moment. In this article we describe the application, the process by which we validated the instrument, and demonstrate its usefulness as a research and pedagogical instrument based on a 1-year pilot study.

用经验抽样法跟踪学习者在第二语言课堂中的参与度
学习者参与度是二语习得成功的主要预测因素(Hiver等人,2021)。因此,能够测量和跟踪一段时间内的参与程度非常重要。这可以从理论上深入了解更有可能参与的条件(学习者的内部和外部),并为创造这种条件的教学实践提供启示。然而,目前关于二语参与的研究存在许多不足:1)大部分研究都是在高度受控的研究环境中进行的,缺乏生态有效性,例如,要求学习者中断学习活动以回答问题,4)许多研究持续时间短,因此无法捕捉随时间的变化,5)许多研究只调查单一环境中的少数学生群体。为了克服这些缺点,我们设计了一个移动应用程序,供教师在课堂上使用,通过经验抽样记录二语参与水平,这是一种用于收集学习者当前经验数据的方法。在这篇文章中,我们描述了该仪器的应用和验证过程,并在一年的试点研究基础上证明了它作为一种研究和教学工具的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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