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Stimulating Creativity in Online Learning Environments through Intelligent Fast Failure

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Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

Classroom Practice II: Technology - and Game-Based Learning

Tagged Division

Educational Research and Methods

Page Count

20

DOI

10.18260/p.25879

Permanent URL

https://peer.asee.org/25879

Download Count

312

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Paper Authors

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Kathryn W. Jablokow Pennsylvania State University

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Dr. Kathryn Jablokow is an Associate Professor of Mechanical Engineering and Engineering Design at Penn State University. A graduate of Ohio State University (Ph.D., Electrical Engineering), Dr. Jablokow’s teaching and research interests include problem solving, invention, and creativity in science and engineering, as well as robotics and computational dynamics. In addition to her membership in ASEE, she is a Senior Member of IEEE and a Fellow of ASME. Dr. Jablokow is the architect of a unique 4-course module focused on creativity and problem solving leadership and is currently developing a new methodology for cognition-based design. She is one of three instructors for Penn State’s Massive Open Online Course (MOOC) on Creativity, Innovation, and Change, and she is the founding director of the Problem Solving Research Group, whose 50+ collaborating members include faculty and students from several universities, as well as industrial representatives, military leaders, and corporate consultants.

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biography

Xiaorui Zhu Pennsylvania State University

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Xiaorui Zhu was born in China in, 1989. He has master degree of Applied Statistics in College of Applied Science of Beijing University of Technology and pursues mater degree of Finance in Penn State University. He has also BSc degree of Statistics in Capital University of Economics and Business. His research interests include Econometrics, Time-Series, Computational Methods, Online Learning, and Asset Valuation.

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Jack V. Matson Pennsylvania State University, University Park

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Emeritus Professor of Environmental Engineering, Founding Director of the Leonhard Center for the Enhancement of Engineering Education, and initiator of Engineering Leadership Development Minor.

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Akshay Nitin Kakde Pennsylvania State University, Great Valley

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Abstract

The relationship between creativity and failure appears to be a complex one, with scholars debating the positive and negative effects of failure on the quality and the quantity of creative outcomes. Within this context, the concept of Intelligent Fast Failure (IFF) was developed as a teaching and learning tool that demystifies the role of failure by encouraging calculated and well-informed risk-taking and initiative, coupled with deep examination of each failure to support learning and increased chances of future success. The IFF concept has inspired many derivatives, including Fast Failure, Fast Forward Failure, and Intelligent Failure. In each case, the fundamental elements are similar – i.e., thoughtfully planned actions of modest scale that have uncertain outcomes, are carried out at an accelerated pace, and which take place in environments that permit effective data collection for later analysis.

The application of Intelligent Fast Failure has a rich history in face-to-face engineering classrooms, particularly in the context of design and technology-based entrepreneurship, but until now, it has not been studied in an online learning environment. With the rise of online engineering programs and courses, including Massive Open Online Courses (MOOCs), the question of how to extend the principles of IFF to these new learning environments is an intriguing one. What is the best way to teach IFF principles in a virtual classroom? Which types of IFF activities and tasks are most effective when students do not meet with their instructor or their classmates in person? How should these tasks and activities be assessed to ensure the most meaningful practical applications of IFF?

In this paper, we address these questions through our examination of a simple hands-on task aimed at teaching the principles of Intelligent Fast Failure in the context of a Massive Open Online Course (MOOC) focused on creativity, innovation, and change. A simple hands-on prototyping exercise involving common household objects was designed and presented to a global community of online learners using the Coursera MOOC platform. We describe and analyze the evolution of this task over three offerings of the MOOC and discuss the benefits and challenges of each iteration. Given the potential resource challenges of many MOOC students (e.g., those in developing nations), careful consideration was given to the materials required for the task, along with the reporting and reflection requirements for the assignment. In the first iteration of the task, only a single sheet of paper was required, while the second and third iterations were based only on shoes. The MOOC students were asked to construct the tallest free-standing tower possible using only the stated materials and to report on their problem solving process and outcomes, including their approach to and experience with failure and the application of IFF principles.

Data gathered from the task outcomes and student reflections were analyzed with respect to gender and cultural differences, as well as correlations between the number of attempts/failures and creative performance metrics. Our results show that while the correlation between number of attempts and creative performance was statistically significant, the relationship was weak. In addition to these results, this research has value for engineering educators as a case study in the transfer, scaling, and evolution of face-to-face tasks in online learning environments.

Jablokow, K. W., & Zhu, X., & Matson, J. V., & Kakde, A. N. (2016, June), Stimulating Creativity in Online Learning Environments through Intelligent Fast Failure Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25879

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