CAREER: Multimedia Explanation Generation for Knowledge-Based Learning Environments

职业：基于知识的学习环境的多媒体解释生成

• 批准号: 9701503
• 负责人: James Lester
• 金额: $ 37.33万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-06-01 至 2001-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9701503&HistoricalAwards=false
• 关键词: CAREER; Multimedia; Explanation; Generation; Knowledge

Knowledge-based learning environments can provide highly customized problem-solving experiences that are tailored to the individual needs of each student. This project creates the technology for a new generation of knowledge-based learning environments by developing real-time multimedia explanation generators with animated pedagogical agents. Prominently featured in learning environments, animated pedagogical agents can observe students' progress, provide them with visually contextualized problem-solving advice, and play a powerful motivational role. The project has three major thrusts: (1) developing a computational model of real-time multimedia explanation planning for dynamically creating customized multimedia explanations; (2) developing a computational model of animated pedagogical agents; and (3) conducting empirical evaluations of the pedagogical effectiveness of these models. In addition, the project also develops a teaching laboratory for multimedia technology and initiates a new multidisciplinary course on Knowledge-Based Multimedia Learning Environments. This work significantly advances the state-of-the-art in knowledge- based learning environments and human-computer interaction. Coupled with rapid advances in affordable multimedia hardware, the successful deployment of these technologies will have a deep and lasting impact on students at all levels. By achieving significant gains in learning effectiveness, these technologies will bring about fundamental improvements in both the classroom and the workplace on a broad scale.

基于知识的学习环境可以提供高度定制的解决问题的经验，这些体验是根据每个学生的个人需求量身定制的。 该项目通过开发具有动画教学剂的实时多媒体解释发生器来为新一代基于知识的学习环境创建技术。 动画教学剂在学习环境中以突出的特色可以观察到学生的进步，为他们提供视觉上下文化的解决问题的建议，并发挥强大的动机作用。 该项目具有三个主要的推力：（1）开发一个实时多媒体解释计划的计算模型，以动态创建自定义的多媒体解释； （2）开发动画教学剂的计算模型； （3）对这些模型的教学有效性进行经验评估。 此外，该项目还开发了多媒体技术的教学实验室，并启动了有关基于知识的多媒体学习环境的新的多学科课程。 这项工作在基于知识的学习环境和人类计算机互动中大大提高了最新的作品。 再加上负担得起的多媒体硬件的快速进步，这些技术的成功部署将对各个级别的学生产生深远而持久的影响。 通过在学习效率方面取得很大的收益，这些技术将在大规模上带来教室和工作场所的根本改进。