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Examining Learners' Discrete Emotional Responses to A Pedagogical Agents' Tutoring Strategies.

机译:检验学习者对教学代理人辅导策略的离散情绪反应。

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摘要

This thesis examined the impact of two different tutorial strategies (Feedback and No-Feedback) deployed by a pedagogical agent (PA) in a multi-agent hypermedia-learning environment, MetaTutor, on college students' embodiment of discrete emotions. Participants were randomly assigned to one of the two PA tutorial conditions, which were designed to assist students with setting three appropriate sub goals for their learning session. The two conditions differed in that the Feedback tutorial strategy condition provided participants with more information on how they could improve their suggested sub goals, were given more opportunities to try again (when unsuccessful) and the PA's counterproposals integrated relevant components of participants' proposed sub goals, whereas the No-Feedback PA tutorial condition did not and simply proposed the most related sub goal. FaceReader, an automatic facial expression recognition program, was used to analyze videos of learners' facial expressions in order to determine their basic emotional states. Tens of thousands of emotional data points (frequency data) were provided by FaceReader, which were transformed into proportions for analysis. The results of this thesis came from two analyses (Analysis 1, University of Memphis and McGill University, N = 18; Analysis 2, McGill University, N = 24), which examined undergraduate students' emotional responses to the PA during the initial sub goal setting phase, while they set three sub goals for their two-hour learning session with MetaTutor. Results demonstrated that learners' experienced more negative than positive or neutral emotions during their interaction with the PA and less anger and happiness, but more surprise in the Feedback tutorial condition. This thesis provided evidence for recommending tutorial strategies similar to the Feedback tutorial strategy examined and the use of the control-value theory of achievement emotions to assess the emotional impact of tutorial strategies.
机译:本文研究了在多智能体超媒体学习环境MetaTutor中,教学代理(PA)部署的两种不同的教学策略(反馈和无反馈)对大学生离散情绪的体现的影响。参与者被随机分配到两个PA辅导条件之一,旨在帮助学生为他们的学习课程设定三个适当的子目标。这两个条件的不同之处在于:“反馈”教程策略条件为参与者提供了有关如何改善建议的子目标的更多信息,有更多机会重试(失败时),并且PA的反建议整合了参与者提议的子目标的相关组成部分,而No-Feedback PA教程条件并没有,只是提出了最相关的子目标。 FaceReader是一种自动的面部表情识别程序,用于分析学习者面部表情的视频,以确定他们的基本情绪状态。 FaceReader提供了数以万计的情感数据点(频率数据),将其转换为比例进行分析。本论文的结果来自两个分析(分析1,孟菲斯大学和麦吉尔大学,N = 18;分析2,麦吉尔大学,N = 24),该研究检查了大学生在最初的子目标中对PA的情感反应设定阶段,而他们为与MetaTutor进行的两小时学习课程设定了三个子目标。结果表明,与PA互动时,学习者比积极或中立的情感更多的消极情绪,更少的愤怒和幸福,但在“反馈”教学条件下,惊喜更多。本论文为推荐与反馈教学策略类似的教学策略提供了证据,并为成就情感的控制价值理论的使用提供了评估教学策略的情感影响的证据。

著录项

  • 作者

    Harley, Jason.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Education Pedagogy.;Education Educational Psychology.
  • 学位 M.A.
  • 年度 2012
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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