Adaptive Automatic Assessment for Engineering Education and Training.

工程教育和培训的自适应自动评估。

• 批准号: 1813363
• 金额: --
• 依托单位: Heriot-Watt University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1813363
• 关键词: Adaptive; Automatic; Assessment; Engineering; Education

"This is a PhD research project in Electrical Engineering.Conventional summative and formative assessment methods, relying heavily on human intervention, do not scale up readily to the needs of mass-participation online education and training in, for example massive open online courses (MOOCs). This project seeks to develop and demonstrate ways in which significant parts of such assessment can be handled automatically by adaptive software tools that harness the most recent advances in machine learning. Embedded systems design and programming, using ARM development tools, will be used as a demonstrator area with ARM's latest educational and professional training programs as test vehicles. The resulting tools will be tested through large worldwide field trials. If successful, the work will be expanded to other areas of education."

“这是一个电气工程的博士研究项目。传统的总结性和形成性评估方法严重依赖人工干预，无法迅速扩大规模，以满足大规模在线开放课程（MOOC）等大众参与式在线教育和培训的需求。该项目旨在开发和演示如何通过利用机器学习最新进展的自适应软件工具自动处理此类评估的重要部分。嵌入式系统设计和编程，使用ARM开发工具，将被用作一个示范区与ARM的最新教育和专业培训计划作为测试车辆。由此产生的工具将通过世界各地的大型实地试验进行测试。如果成功，这项工作将扩大到其他教育领域。"