learning Cyclotron

学习回旋加速器

• 批准号: 442581111
• 负责人: Professor Dr. Andreas Dengel
• 金额: --
• 依托单位: Graduate School of Engineering
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/442581111?language=en
• 关键词: learning; Cyclotron

The aim of this project is to augment and amplify human intelligence with artificial intelligence. In particular, we propose and develop Learning Cyclotron (LeCycl), a framework that monitors and actuates learning processes. In this framework, learners acquire knowledge with the following three steps: perceive (e.g., reading a textbook), master (e.g., solving an exercise), and transfer (e.g., explaining to other learners). Behaviors of learners on each step are measured by sensors. From the sensor signals, we estimate cognitive and affective states, including attention, interest, concentration, mental workload, and self-confidence. The estimated states will be utilized to select how to nudge learners. As the same as a cyclotron accelerates charged particles by a magnetic field, LeCycl circulates knowledge between learners.We involve liberal arts (ESL: English as a second language) and science (Physics) as learning subjects. After developing functions for the subjects in each country (Japan: written English, France: spoken English, Germany: Physics), we integrate them into one system. Scientific goals addressed for the development and integration are to investigate (1) how sensors can track knowledge flow from perceive to transfer, (2) what kind of nudges can be applied to circulates knowledge, and (3) whether the sensing and nudging methods can be transferred among different countries and learning subjects.

这个项目的目的是用人工智能来增强和放大人类的智能。特别是，我们提出并开发学习回旋加速器（LeCycl），一个框架，监测和驱动学习过程。在这个框架中，学习者通过以下三个步骤获取知识：感知（例如，阅读教科书），掌握（例如，解决练习），和转移（例如，向其他学习者解释）。学习者在每一步上的行为由传感器测量。从传感器信号，我们估计认知和情感状态，包括注意力，兴趣，注意力，精神负荷和自信。估计的状态将被用来选择如何轻推学习者。如同回旋加速器通过磁场加速带电粒子一样，LeCycl在学习者之间循环知识。我们将文科（ESL：英语作为第二语言）和理科（物理）作为学习科目。在为每个国家的科目（日本：书面英语，法国：口语英语，德国：物理）开发功能后，我们将它们集成到一个系统中。发展和整合的科学目标是研究（1）传感器如何跟踪知识从感知到转移的流动，（2）什么样的推动可以应用于知识的流通，以及（3）传感和推动方法是否可以在不同的国家和学习科目之间转移。