Self- and Co-Regulating Anthropomorphic Pedagogical Agents

自我调节和共同调节的拟人化教学代理

• 批准号: 249872-2013
• 负责人: Kumar, Vivekanandan
• 金额: $ 1.09万
• 依托单位: Athabasca University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=547430
• 关键词: Self; Co; Regulating; Anthropomorphic; Pedagogical

Imagine a software agent that learns how to develop personalized education and training strategies for you based on your own habits and strengths, and based on the learning analytics patterns of thousands of other successful students that have come before. A trusted friend, partner, and ally that can help identify goals, and map out the most likely path to achieve those goals, based on your own learning styles, consistent with your own deepest values, personal, social, and other standards. This research aims to build and test a suite of such intelligent agents, called anthropomorphic agents, that mimic human-like traits and will assist learners in their regulatory tasks. Further these agents self-regulate their own anthropomorphic traits, such as initiative and subject matter competency, in order to inspire a high level of trust, shared perspective, and entitativity - thus increasing the learners' willingness to view them as competent partners in the educational process.

想象一个软件代理，它学习如何根据您自己的习惯和优势，并基于之前数千名其他成功学生的学习分析模式，为您制定个性化的教育和培训策略。 一个值得信赖的朋友、合作伙伴和盟友，可以帮助您确定目标，并根据您自己的学习风格，符合​​您自己最深刻的价值观、个人、社会和其他标准，规划出实现这些目标的最有可能的路径。这项研究的目的是构建和测试一套这样的智能代理，称为拟人代理，模仿人类的特征，并将帮助学习者完成他们的监管任务。 此外，这些代理人自我调节自己的拟人化特征，例如主动性和主题能力，以激发高度的信任、共同的观点和实体性——从而增加学习者将他们视为教育中称职的合作伙伴的意愿。过程。