以技术为媒介的基于任务的学习的复杂方法

IF 0.1 N/A LANGUAGE & LINGUISTICS Entrepalavras Pub Date : 2022-01-31 DOI:10.22168/2237-6321-32273
Juarez Aloizo Lopes, Rafael Vetromille-Castro, V. Leffa
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引用次数: 0

摘要

本研究的重点是口语教学中作为第二语言的英语教学过程,在复杂性理论的视角下,运用任务型学习(Task-Based learning, TBL)强调在同步交际工具介导的环境中口语互动。它旨在分析和定义任务周期作为一个复杂的自适应系统。目前的研究采用了一种网络志方法,处理理论和实践,使民族志方法适应互联网在技术媒介环境中的影响。我们使用在Zoom介导的环境中进行的五个班级的视频记录来构建数据集。参与者是来自佩洛塔斯联邦大学生物技术专业的学生,因为他们需要与国际大学的研究人员进行在线会议而被选中。基于数据观察的复杂和网络视角,可以证明在这种新的学习环境中,任务周期对初始条件敏感、不可预测、开放、动态、自适应、复杂、混沌、非线性、自组织和对反馈敏感。由于需要更好地理解在这种独特的学习环境中以复杂和非还原论的方式进行互动的教学含义,因此本研究试图为开发CALL的一个新的研究领域做出贡献,使用一个强大的理论,即复杂性理论。
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Uma abordagem complexa para aprendizagem baseada em tarefas mediada por tecnologias
The focus of this study is the process of teaching/learning English as a second language in CALL, emphasizing oral interaction in an environment mediated by a synchronous communication tool using Task-Based Learning (TBL) under the perspective of the Complexity Theory. It aims to analyze and define the task cycle as a Complex Adaptive System. The current study adopts a netnographic methodology that deals with theory and practice adapting the ethnographic method to include the influence of the internet in technology-mediated environments. We built the dataset using video recordings of five classes carried out in an environment mediated by Zoom. The participants were students from the Biotechnology program at the Federal University of Pelotas selected due to their need to have online meetings with researchers from international universities. Based on a complex and netnographic perspective for data observation, it was possible to demonstrate that the task cycle, in this new learning environment, is sensitive to initial conditions, unpredictable, open, dynamic, adaptive, complex, chaotic, nonlinear, self-organizing, and sensitive to feedback. This study attempts to contribute to developing a new area of investigation in CALL due to the need to understand better the pedagogical implications of the interactions in this unique learning context in a complex and non-reductionist manner using a robust theory as the Complexity Theory.
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来源期刊
Entrepalavras
Entrepalavras LANGUAGE & LINGUISTICS-
自引率
0.00%
发文量
58
审稿时长
16 weeks
期刊最新文献
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