• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Teaching, Assessment, and Learning for Engineering >Transferring Human Tutor's Style to Pedagogical Agent: A Possible Way by Leveraging Variety of Artificial Intelligence Achievements
【24h】

Transferring Human Tutor's Style to Pedagogical Agent: A Possible Way by Leveraging Variety of Artificial Intelligence Achievements

机译：将人类导师的风格转变为教学主体：通过利用各种人工智能成果的一种可能方式

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Pedagogical agents (P A) are lifelike characters presented on a computer screen that guide users through multimedia learning environments. Evidences show that P A has effect on promoting learning. However, P A field still faces common problems to be solved, such as how to promote the trust relationship among P A and learners. Such questions relate to how to make P A behaves more like human. This paper argues that solving these problems requires at least P A to simulate humans better in appearance, speech and motion, a possible solution is to transfer a human tutor's style to P A. Traditional P A production methods rely on the authoring tool, such as Microsoft agent, this type of methods are highly depending on manual production, so it is difficult to transfer the style of human tutor to P A well. Meanwhile, the production cycle is long, the cost is high, and the adaptability is not ideal. Based on the analysis of the achievements of interdisciplinary literature, this paper points out that based on various machine learning technologies, the above problems can be solved to a great extent. The related technologies are more likely to enhance the human-like of PA, such as the establishment of teacher strategy and behavior prediction model.
机译：教学代理（P A）是呈现在计算机屏幕上的逼真的人物，可以指导用户进行多媒体学习环境。有证据表明，P A对促进学习有影响。然而，PA领域仍然面临着亟待解决的共同问题，例如如何促进PA与学习者之间的信任关系。这些问题与如何使PA表现得更像人类一样。本文认为要解决这些问题，至少需要PA才能更好地模拟人类的外观，语音和动作，一种可能的解决方案是将人类导师的样式转换为PA。传统的PA生产方法依赖于创作工具，例如Microsoft agent ，这种类型的方法高度依赖于手工制作，因此很难将人类导师的风格很好地转移到PA。同时，生产周期长，成本高，适应性不理想。在对跨学科文献研究成果进行分析的基础上，指出基于多种机器学习技术，可以在很大程度上解决上述问题。建立教师策略和行为预测模型等相关技术更有可能增强人文能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号