Product-based Learning: Bundling Goods and Services for an Integrated Context-rich Industrial Engineering Curriculum

Terpenny, Janis P.; Harmonosky, Catherine M.; Lehtihet, Amine; Prabhu, Vittaldas V.; Freivalds, Andris; Joshi, Elena M.; Ventura, José A.

doi:10.18260/1-2--30895

Cited by 2 publications

(2 citation statements)

References 4 publications

(4 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The objective of this VR learning application is to provide a tool with a common theme that educators could use to teach IE concepts and integrate course knowledge into their curriculum [63]. A power drill manufacturing line was selected since previous studies that aim to integrate IE course knowledge have implemented similar power tools [64]. The virtual environment simulates the initial steps of the process to manufacture a power drill, where the plastic housing is manufactured.…”

Section: Case Studymentioning

confidence: 99%

Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments

López

Cunningham

Ashour

et al. 2020

Journal of Computing and Information Science in Engineering

View full text Add to dashboard Cite

This work presents a deep reinforcement learning (DRL) approach for procedural content generation (PCG) to automatically generate three-dimensional (3D) virtual environments that users can interact with. The primary objective of PCG methods is to algorithmically generate new content in order to improve user experience. Researchers have started exploring the use of machine learning (ML) methods to generate content. However, these approaches frequently implement supervised ML algorithms that require initial datasets to train their generative models. In contrast, RL algorithms do not require training data to be collected a priori since they take advantage of simulation to train their models. Considering the advantages of RL algorithms, this work presents a method that generates new 3D virtual environments by training an RL agent using a 3D simulation platform. This work extends the authors’ previous work and presents the results of a case study that supports the capability of the proposed method to generate new 3D virtual environments. The ability to automatically generate new content has the potential to maintain users’ engagement in a wide variety of applications such as virtual reality applications for education and training, and engineering conceptual design.

show abstract

Section: Case Studymentioning

confidence: 99%

Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments

López

Cunningham

Ashour

et al. 2020

Journal of Computing and Information Science in Engineering

View full text Add to dashboard Cite

show abstract

“…This system was selected because it was easy to understand but complex enough to add the necessary pedagogical components now and in the future. Moreover, a similar system was already used in other studies 49 . The virtual environment was built using the Unity game engine 46 .…”

Section: Virtual Systemmentioning

confidence: 99%

The CLICK Approach and Its Impact on Learning Introductory Probability Concepts in an Industrial Engineering Course

López

Ashour

Cunningham³

et al.

2020 ASEE Virtual Annual Conference Content Access Proceedings

View full text Add to dashboard Cite

and a Master of Science in Industrial and Systems Engineering from the Rochester Institute of Technology, NY. I worked in the Service and Manufacturing sectors before pursuing m yPh.D.I am interested in the design and optimization of intelligent decision support systems and persuasive technologies to augment human proficiencies. My research over the last few years has focused on the development of machine learning methods that personalize the human learning process and enhance the efficiency of task completion and decision making.

show abstract

Product-based Learning: Bundling Goods and Services for an Integrated Context-rich Industrial Engineering Curriculum

Cited by 2 publications

References 4 publications

Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments

Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments

The CLICK Approach and Its Impact on Learning Introductory Probability Concepts in an Industrial Engineering Course

Contact Info

Product

Resources

About