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A Flat Learning Environment - Learning to Solve Ill-Structured Problems

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Conference

2014 ASEE Annual Conference & Exposition

Location

Indianapolis, Indiana

Publication Date

June 15, 2014

Start Date

June 15, 2014

End Date

June 18, 2014

ISSN

2153-5965

Conference Session

NSF Grantees’ Poster Session

Tagged Division

Division Experimentation & Lab-Oriented Studies

Tagged Topic

NSF Grantees Poster Session

Page Count

14

Page Numbers

24.49.1 - 24.49.14

Permanent URL

https://peer.asee.org/19941

Download Count

32

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Paper Authors

biography

Zahed Siddique University of Oklahoma

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Zahed Siddique is a Professor of Mechanical Engineering at the University of Oklahoma. His research interests are in areas of product design, product platform design, and engineering education. He is interested in peer-to-peer learning, technology enhanced education, motivation, and game-based learning for engineering. He is the faculty advisor of the Sooner Racing Team (FSAE) and coordinator of the Mechanical Engineering Capstone Program.

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Firas Akasheh Tuskegee University

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Gül E. Okudan-Kremer Pennsylvania State University, University Park

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Abstract

LEARNING TO SOLVE ILL-STRUCTURED PROBLEMS IN A FLAT LEARNING ENVIRONMENTOur approach is to capitalize on the research findings on linkages between higher-orderthinking and peer learning to create and evaluate a flat learning environment, entitledTeaching to Learn (TeatoL). Within TeatoL students are introduced to a “flatter”instructional environment; all participants have dual roles as students and instructors whoare embedded in a collaborative environment where all learn collectively from eachother’s experiences, even the instructor.TeatoL blends mobile smart devices and traditional approaches to enhance criticalthinking and competencies essential for students to solve ill-structured problems. Themain objective is to understand, develop, implement and evaluate a flat learningenvironment utilizing mobile technologies and devices. The focus is on peer learningmode, where students are instructors to share their experience and then learn from fellowstudent instructors. In this paper, we present our initial results and findings fromimplementation in three institutions: University of Oklahoma, Tuskegee University, andPenn State. We close the paper with observations from our initial implementations acrossthree data collection sites.    

Siddique, Z., & Akasheh, F., & Okudan-Kremer, G. E. (2014, June), A Flat Learning Environment - Learning to Solve Ill-Structured Problems Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/19941

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