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Learning Environment for Automated System Integration (LearnASI)

Learning Environment for Automated System Integration (LearnASI)
自动化系统集成学习环境 (LearnASI)
批准号:
0837634
负责人:
Sheng-Jen Hsieh
金额:
$15.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-03-01 至 2015-02-28

项目摘要

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中文摘要
翻译
工程-工程技术(58)该项目正在开发、评估和传播一个基于网络的系统,名为自动化系统集成学习环境,帮助学生和新工程师学习系统集成概念。该方法包括关于系统集成概念和程序的动画和教程;关于自动化系统设计的详细案例研究;允许学生设计和测试自动化系统的智能问题解决环境;以及一个在线社区,学生、工程师和教师可以在其中交换关于系统集成的想法。这些工具既是与工程设计、计算机辅助制造或工业自动化相关的本科课程的资源,也是在系统集成行业工作的新工程师的资源。该方法补充了现有的教学材料和设备,提供了在预定的实验室时间之外练习系统集成技能的机会,并为设备资源有限的教育机构提供了一个虚拟实验室。这些材料正在首席调查员机构的七个课程和两个合作的少数群体服务机构中使用。评估工作使用结构化访谈、调查、对用户活动网络日志和学生产品的分析,以确定所开发材料的可用性和教学效果。调查人员正在通过与NSDL以及其他数字图书馆(如NJCATE和NETAEC)链接的网站帖子、会议演示文稿、期刊出版物和ATE国家制造业教育中心来传播他们的材料和结果。更广泛的影响包括材料的传播和对代表性不足群体的关注。
英文摘要
Engineering - Engineering Technology (58)The project is developing, evaluating, and disseminating a web-based system called Learning Environment for Automated System Integration that is helping students and new engineers learn system integration concepts. The approach includes animations and tutorials on system integration concepts and procedures; detailed case studies on the design of automated systems; intelligent problem-solving environments that will allow students to design and test automated systems; and an online community where students, engineers, and instructors can exchange ideas about system integration. These tools serve as a resource both for undergraduate courses related to engineering design, computer-aided manufacturing, or industrial automation and for new engineers working in the system integration industry. The approach complements existing instructional materials and equipment, provides opportunities to practice system integration skills outside of scheduled lab times, and serves as a virtual laboratory for educational institutions with limited equipment resources. The materials are being used in seven courses at the principal investigator's institution and at two collaborating minority serving institutions. The evaluation efforts are using structured interviews, surveys, analyses of user activity web logs and student products to characterize the usability and instructional effectiveness of the developed material. The investigators are disseminating their material and results through website postings that are linked to the NSDL and to other digital libraries such as NJCATE and NETAEC, through conference presentation, through journal publications, and through the ATE National Center on Manufacturing Education. Broader impacts include the dissemination of the materials and the focus on underrepresented groups.
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HSI Implementation and Evaluation Project: Undergraduate Research Experiences in Machine Learning for First Generation Students
  • 批准号:
    2345361
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2024
  • 负责人:
    Sheng-Jen Hsieh
  • 依托单位:
Technician Training for Industry 4.0 Technologies
RET Site: Machine Learning and Smart System Design
Just-in-Time, Online, Intelligent Tutoring for Automated System Integration: Developing a Problem-Solving Environment that Enhances Student Learning
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