Integrating Industry 4.0 in engineering education during a global pandemic: Approach and Learning Efficacy

Sourav Jena, Gayatri Ajit Ranade, Ruchi Pushpak Sharma, K. Arya
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引用次数: 3

Abstract

Given the lockdown situation due to the global pandemic in place, teaching and learning hardware-oriented hand-son skills became a major challenge for engineering education. The present study investigates some of the approaches and demonstrates an effective method of teaching modern engineering skills in a simulated environment, such as investigating the Industry 4.0 concept of ‘Warehouse Automation.’ As part of Project-Based Learning, we are using open source software and free services in a six-month online robotics competition with several stages and tasks. This learning activity was implemented among 1880 participants (470 teams) to teach complex engineering concepts from multidisciplinary domains such as - (1) Robot Operating System (ROS) to control two Robotic Arms in a dynamic simulator, (2) Internet of Things protocols such as MQTT and HTTP, and (3) free cloud services to log data in a database and developing an email notifications system. All the necessary resources were provided to the participants along with the troubleshooting guide that was provided via an online discussion forum. After each task performance of teams was recorded and feedback was collected from the participants. All the recorded data was passed through various statistical analyses as a part of the study to assess the effectiveness of this teaching and learning activity. The study further inspects- whether there is a correlation between participants’ performance in the academic-curricular and the competition, and whether more interaction through online-discussion-forum leads to better performance. Finally, the study will help us understand the perception of participants about COVID-19 impact on their performance.
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在全球大流行期间将工业4.0融入工程教育:方法和学习效能
鉴于全球大流行造成的封锁情况,教学和学习面向硬件的手工技能成为工程教育的主要挑战。本研究调查了一些方法,并展示了在模拟环境中教授现代工程技能的有效方法,例如调查工业4.0的“仓库自动化”概念。“作为基于项目的学习的一部分,我们在为期六个月的在线机器人竞赛中使用开源软件和免费服务,有几个阶段和任务。这项学习活动在1880名参与者(470个团队)中实施,以教授来自多学科领域的复杂工程概念,例如(1)机器人操作系统(ROS)在动态模拟器中控制两个机械臂,(2)物联网协议,如MQTT和HTTP,以及(3)免费云服务,用于在数据库中记录数据并开发电子邮件通知系统。所有必要的资源以及通过在线讨论论坛提供的故障排除指南都提供给了参与者。每个任务完成后,团队的表现被记录下来,并从参与者那里收集反馈。作为研究的一部分,所有记录的数据都经过了各种统计分析,以评估该教与学活动的有效性。该研究进一步考察了参与者在学术课程中的表现与竞争之间是否存在相关性,以及通过在线讨论论坛进行更多的互动是否会导致更好的表现。最后,该研究将帮助我们了解参与者对COVID-19对其表现影响的看法。
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