Providing Real-time Feedback for Student Teachers in a Virtual Rehearsal Environment

R. Barmaki, C. Hughes
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引用次数: 57

Abstract

Research in learning analytics and educational data mining has recently become prominent in the fields of computer science and education. Most scholars in the field emphasize student learning and student data analytics; however, it is also important to focus on teaching analytics and teacher preparation because of their key roles in student learning, especially in K-12 learning environments. Nonverbal communication strategies play an important role in successful interpersonal communication of teachers with their students. In order to assist novice or practicing teachers with exhibiting open and affirmative nonverbal cues in their classrooms, we have designed a multimodal teaching platform with provisions for online feedback. We used an interactive teaching rehearsal software, TeachLivE, as our basic research environment. TeachLivE employs a digital puppetry paradigm as its core technology. Individuals walk into this virtual environment and interact with virtual students displayed on a large screen. They can practice classroom management, pedagogy and content delivery skills with a teaching plan in the TeachLivE environment. We have designed an experiment to evaluate the impact of an online nonverbal feedback application. In this experiment, different types of multimodal data have been collected during two experimental settings. These data include talk-time and nonverbal behaviors of the virtual students, captured in log files; talk time and full body tracking data of the participant; and video recording of the virtual classroom with the participant. 34 student teachers participated in this 30-minute experiment. In each of the settings, the participants were provided with teaching plans from which they taught. All the participants took part in both of the experimental settings. In order to have a balanced experiment design, half of the participants received nonverbal online feedback in their first session and the other half received this feedback in the second session. A visual indication was used for feedback each time the participant exhibited a closed, defensive posture. Based on recorded full-body tracking data, we observed that only those who received feedback in their first session demonstrated a significant number of open postures in the session containing no feedback. However, the post-questionnaire information indicated that all participants were more mindful of their body postures while teaching after they had participated in the study.
在虚拟排练环境中为实习教师提供实时反馈
近年来,学习分析和教育数据挖掘的研究在计算机科学和教育领域已成为突出的研究方向。该领域的大多数学者强调学生学习和学生数据分析;然而,关注教学分析和教师准备也很重要,因为它们在学生学习中起着关键作用,特别是在K-12学习环境中。非语言交际策略在师生人际交往中起着重要的作用。为了帮助新手或实习教师在课堂上展示开放和肯定的非语言暗示,我们设计了一个多模式教学平台,并提供在线反馈。我们使用交互式教学排练软件TeachLivE作为基础研究环境。TeachLivE采用数字木偶范式作为其核心技术。个人走进这个虚拟环境,与显示在大屏幕上的虚拟学生互动。他们可以在TeachLivE环境中通过教学计划练习课堂管理、教学法和内容交付技能。我们设计了一个实验来评估在线非语言反馈应用程序的影响。在本实验中,在两个实验设置中收集了不同类型的多模态数据。这些数据包括记录在日志文件中的虚拟学生的谈话时间和非语言行为;参与者的通话时间和全身跟踪数据;以及参与者在虚拟教室的视频记录。34名实习教师参加了这个30分钟的实验。在每一种情况下,参与者都被提供了教学计划。所有的参与者都参加了两种实验设置。为了平衡实验设计,一半的参与者在第一阶段接受非语言在线反馈,另一半在第二阶段接受非语言在线反馈。每次参与者表现出封闭的、防御性的姿势时,视觉指示被用于反馈。根据记录的全身跟踪数据,我们观察到只有那些在第一次训练中得到反馈的人在没有反馈的训练中表现出大量的开放姿势。然而,问卷调查后的信息表明,所有参与者在参与研究后,在教学时都更加注意自己的身体姿势。
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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