The Additive Manufacturing Workforce Advancement Training Coalition and Hub (AM-WATCH) targets to address gaps in the current knowledge base of manufacturing professionals through the development of Massive Open Online Courses (MOOCs) based educational materials, delivery of professional development activities, support provided to 30+ instructors per year, and expanded outreach activities targeting K-12 and community college teachers and students. Tennessee Tech University is collaborating with the University of Louisville, Sinclair Community College, National Resource Center for Materials Technology Education, Oak Ridge National Laboratory, and industry in the development of cutting-edge and multi-dimensional educational modules and activities for instructors. Developed materials are presented to 30+ instructors through intensive two-day AM Studios every year. While instructors learn the latest trends and technologies in AM, they also grasp the ABET Student Outcomes and Continuous Improvement. This paper reports the current practices made in these studios and feedback received from the instructors.
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Peer Feedback Processes in the Game Industry
A wide variety of design strategies, tools, and processes are used across the game industry. Prior work has shown that these processes are often collaborative, with experts in different domains contributing to different parts of the whole. However, the ways in which these professionals give and receive peer feedback have not yet been studied in depth. In this paper we present results from interviews with industry professionals at two game studios, describing the ways they give feedback. We propose a new, six step process that describes the full feedback cycle from making plans to receive feedback to reflecting and acting upon that feedback. This process serves as a starting point for researchers studying peer feedback in games, and allows for comparison of processes across different types of studios. It will also help studios formalize their understanding of their own processes and consider alternative processes that might better fit their needs.
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- Award ID(s):
- 1821590
- NSF-PAR ID:
- 10205834
- Date Published:
- Journal Name:
- Proceedings of the Annual Symposium on Computer-Human Interaction in Play
- Page Range / eLocation ID:
- 427 to 438
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3311350.3347176
