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Gamified Learning of Additive Design

Gamified Learning of Additive Design
增材设计的游戏化学习
批准号:
66284
负责人:
金额:
$9.41万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

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中文摘要
翻译
增材制造工艺(AM或3d打印)的价值在这次大流行期间得到了清楚的证明。国际社会在很短的时间内大力开发了新型呼吸机和个人防护装备解决方案。令人沮丧的是,拥有推动这种创新所需知识的设计师和工程师数量非常少。简而言之,在AM (DfAM)的设计方面存在一个关键的技能差距。然而,休假、隔离和封锁为提高英国劳动力在这方面的技能提供了前所未有的机会。这个项目将设计和提供一个新的,高度互动的教育课程。它将摆脱传统电子学习中常见的陈腐、死记硬背的学习方法。相反,它将严重依赖于“边做边学”,在Gen3D专有的DfAM软件中进行游戏化的演练。这将在明年免费,并将与在线教学材料(视频,评估等)相结合。这将克服在巨大的财政压力和远程工作时期的准入障碍,直接影响教育和文化。此外,它将提供丰富的深度学习体验,以最大限度地提高参与度和成就感。通过代码学院等平台,电子学习正在经历显著增长。这些互动的数字环境鼓励积极的学习,用户必须执行不同的任务来完成课程。使用我们定制的设计软件,我们打算制作一系列视频讲座和交互式案例研究,以展示在设计和生产增材制造零件时要考虑的最佳实践和方法。我们将拥抱“游戏化”,即游戏般的体验能够促进期望的行为并推动学习成果。这种方法以教学研究为基础,建立在建构主义学习的基础上,建构主义学习预测了通过与环境和同伴的社会互动进行体验式学习的必要性(Zainuddina, 2020)。该课程将主要侧重于提高被隔离、休假或以其他方式封锁的工程或设计人员的技能。然而,更广泛的影响可能很容易扩展到在这个充满挑战的时期寻求DIY解决方案或自我完善的学生和业余爱好者。通过提供这个低成本/免费的在线课程,我们希望增加英国劳动力对增材制造流程和工作流程的理解。它将建立围绕增材制造流程的优点和缺点,使用增材制造的经济性以及导致成功部署增材制造的原则和心态的认识。进一步看,提高英国先进制造业的技能将有助于在全球工程界保持竞争优势。影响基金的扩展将集中于我们新开发的课程迄今为止所取得的成功,并与3个关键目标行业部门合作。此次参与将带来一套新的有针对性的课程,旨在吸引行业演讲者展示增材制造技能设计在其行业中的好处。这将通过对每个部门的相关案例研究来完成,并将有助于将每个用户获得的知识和技能转移到各自的工业部门。扩展也将开始我们探索课程商业化的阶段,并将我们的课程发展为Gen3D业务的创收部分。
英文摘要
The value of additive manufacturing processes (AM, otherwise 3D-printing) has been clearly demonstrated during this pandemic. The global community has energetically developed novel ventilator and PPE solutions in a very short time frame. Frustratingly, the number of designers and engineers with the required knowledge to drive such innovation is very low. In short, there is a critical skills gap in terms of design for AM (DfAM). However, the furlough, quarantine and lock-down presents an unprecedented opportunity to upskill the UK workforce in this regard.This project will design and deliver a new, highly-interactive educational course. It will move away from the stale, rote learning approaches seen so often in traditional e-learning. Instead, it will rely heavily on 'learn-by-doing', gamified walkthroughs within Gen3D's proprietary DfAM software. This will be free for the next year, and it will be coupled with online teaching materials (videos, assessments, etc.). This will overcome barriers to access during a time of great financial pressure and remote working, directly impacting education and culture. In addition, it will give a rich, deep learning experience to maximise engagement and fulfilment.E-learning is experiencing significant growth through platforms such as the Code Academy. These interactive, digital environments encourage positive learning where the user has to perform different tasks to progress through the course. Using our bespoke design software, we intend to produce a series of video lectures and interactive case studies to demonstrate best practices and methodologies to consider when designing and producing parts for AM. We will embrace 'gamification', where game-like experiences promote desired behaviours and drive learning outcomes. This methodology is grounded in pedagogical research and is built on constructivist learning, which predicates the need for experiential learning via social interaction with the environment and peers (Zainuddina, 2020).The course will primarily focus on upskilling quarantined, furloughed or otherwise locked-down engineering or design staff. However, wider impacts may readily extend to disrupted students and hobbyists who are seeking DIY solutions or self-improvement during this challenging time. By delivering this low-cost/free online course, we hope to increase the UK workforce's understanding of AM processes and workflows. It will build awareness surrounding the benefits and drawbacks of AM processes, the economics of using AM and the principles and mindsets that lead to the successful deployment of AM. Looking further, upskilling the UK advanced manufacturing sector will help to maintain a competitive advantage within a global engineering community.The extension for impact funding will focus on taking the success we've seen to date of our newly developed course and engage with 3 key target industry sectors. This engagement will lead to a new set of targeted lessons which look to bring in industry speakers to showcase the benefits of design for additive manufacturing skills in their sectors. This will be done using a relevant case study for each sector and will help transfer the knowledge and skills gained by each user to their respective industry sectors. The extension will also begin our phase of exploring commercialisation of the course and growing our course to a revenue generating segment of the Gen3D business.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
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  • 批准号:
    --
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  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
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  • 批准年份:
    2020
  • 负责人:
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