Collaborative Research: A Collaborative Dialogue Architecture for Peer Learning Interactions

协作研究：用于同伴学习互动的协作对话架构

• 批准号: 0536968
• 负责人: Barbara DiEugenio
• 金额: --
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0536968&HistoricalAwards=false
• 关键词: Collaborative; Research; Dialogue; Architecture; Peer

Award AbstractProject Title: Collaborative Research: A Collaborative Dialogue Agent for Peer Learning InteractionsThis project is developing a computational model of effective episodes within peer learning dialogues and embodying that model in KSC-PaL, an artificial agent that can collaborate with a human partner via natural-language dialogues. (KSC stands for "Knowledge Sharing and Construction.") KSC-PaL is a flexible agent, insofar as it can assume various roles-in particular, novice peer and expert peer or "coach." As such, it could move educational applications from the paradigm of the computer as teacher to the computer as a peer who dynamically shifts from novice to expert, as occurs naturally during human interactions. Although KSC-PaL is being developed to help Computer Science (CS) students develop abstract, generalizable knowledge about data structures and algorithms, there is the potential to scale up the dialogue agent architecture for other domains. By first using KSC-PaL as a peer in CS education, the investigators hope to increase retention in undergraduate CS programs, especially among female students. Peer collaboration on programming tasks in classroom and laboratory settings has been shown to benefit both male and female students. Experimentation during the project is focused on establishing that the peer agent impacts learning positively, above and beyond a simulated coach or non-interactive control, and on isolating the effectiveness of particular features of peer-student interactions, such as different negotiation strategies. Results of these experiments will be disseminated in conference papers and journal articles and made available via the web.

奖项摘要项目名称：协作研究：用于同伴学习互动的协作对话代理该项目正在开发同伴学习对话中有效事件的计算模型，并将该模型体现在 KSC-PaL 中，KSC-PaL 是一种人工代理，可以通过自然-语言对话。 （KSC 代表“知识共享和构建”。）KSC-PaL 是一个灵活的代理，因为它可以承担各种角色，特别是新手同伴和专家同伴或“教练”。 因此，它可以将教育应用程序从计算机作为教师的范式转移到计算机作为同伴的范式，后者动态地从新手转变为专家，就像人类交互过程中自然发生的那样。 尽管 KSC-PaL 的开发是为了帮助计算机科学 (CS) 学生开发有关数据结构和算法的抽象、通用知识，但仍有可能扩展其他领域的对话代理架构。 通过首先使用 KSC-PaL 作为计算机科学教育中的同伴，研究人员希望提高本科计算机科学项目的保留率，特别是女学生的保留率。 事实证明，在课堂和实验室环境中进行编程任务的同伴合作对男女学生都有好处。 该项目期间的实验重点是确定同伴代理对学习的积极影响，超越模拟教练或非交互式控制，并隔离同伴学生互动的特定特征的有效性，例如不同的谈判策略。 这些实验的结果将在会议论文和期刊文章中传播，并通过网络提供。