Motivation Effect of Animated Pedagogical Agent’s Personality and Feedback Strategy Types on Learning in Virtual Training Environment

Q1 Computer Science
Yulong Bian
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引用次数: 3

Abstract

Background

The personality and feedback of an animated pedagogical agent (APA) are vital social-emotional features that render the agent perceptually believable. The effect of them on learning in virtual training remains to be examined.

Methods

In this paper, an explanation model was proposed to clarify the underlying mechanism of how these two features affect learners. Two studies were conducted to investigate the model. Study 1 reexamined the effect of APA’s personality type and feedback strategy on flow experience and performance, revealing significant effects of feedback strategy on flow and performance, as well as a marginal significant effect of personality type on performance. To explore the mechanism behind these effects, a theoretical model was proposed by distinguishing between intrinsic and extrinsic motivation effect. Study 2 tested the model and round that the APA’s personality type significantly influences factors in the path of extrinsic motivation effect rather than those in the path of intrinsic motivation effect.

Results

By contrast, feedback strategy significantly affected factors in the path of intrinsic motivation effect.

Conclusions

The proposed model was supported by these results; further distinguishing the two motivation effects is necessary to understand the respective effects of an APA’s personality and feedback features on learning experiences and outcomes.

虚拟训练环境下动画教学主体人格与反馈策略类型对学习的激励作用
动画教学主体(APA)的个性和反馈是重要的社会情感特征,使其在感知上可信。它们对虚拟训练中学习的影响还有待研究。方法本文提出了一个解释模型来阐明这两个特征影响学习者的潜在机制。对该模型进行了两项研究。研究1重新考察了APA的人格类型和反馈策略对心流体验和绩效的影响,发现反馈策略对心流和绩效有显著影响,而人格类型对绩效有边际显著影响。为了探究这些效应背后的机制,本文提出了一个区分内在激励效应和外在激励效应的理论模型。研究2对模型进行了检验,发现APA的人格类型对外在动机效应路径上的因素影响显著,而对内在动机效应路径上的因素影响不显著。结果反馈策略对内在激励效应路径上的因素有显著影响。结论上述结果支持了该模型的正确性;进一步区分这两种动机效应对于理解APA的人格特征和反馈特征对学习经验和结果的各自影响是必要的。
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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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