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Award Abstract # 2044444
Mixed Reality for Engineering Design Interpretation in Construction Engineering Management

NSF Org: DUE
Division Of Undergraduate Education
Recipient: ILLINOIS INSTITUTE OF TECHNOLOGY
Initial Amendment Date: February 24, 2021
Latest Amendment Date: January 14, 2025
Award Number: 2044444
Award Instrument: Standard Grant
Program Manager: Christine Delahanty
cdelahan@nsf.gov
 (703)292-8492
DUE
 Division Of Undergraduate Education
EDU
 Directorate for STEM Education
Start Date: February 15, 2021
End Date: January 31, 2026 (Estimated)
Total Intended Award Amount: $299,997.00
Total Awarded Amount to Date: $299,997.00
Funds Obligated to Date: FY 2021 = $299,997.00
History of Investigator:
  • Ivan Mutis (Principal Investigator)
    imutis@iit.edu
  • Gady Agam (Co-Principal Investigator)
Recipient Sponsored Research Office: Illinois Institute of Technology
10 W 35TH ST
CHICAGO
IL  US  60616-3717
(312)567-3035
Sponsor Congressional District: 01
Primary Place of Performance: Illinois Institute of Technology
3201 S Dearborn St.
Chicago
IL  US  60616-3793
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): E2NDENMDUEG8
Parent UEI:
NSF Program(s): IUSE
Primary Program Source: 04002122DB NSF Education & Human Resource
Program Reference Code(s): 8209, 8244, 9178
Program Element Code(s): 199800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

This project aims to serve the national interest by better preparing construction engineering students to be project engineers. To do so, the project aims to help students develop critical problem-solving skills relevant to real construction projects. Among these skills is design interpretation. Job site learning is vital to develop design interpretation abilities but providing such learning opportunities remains a challenge in construction engineering education. To increase access to job site learning, this project will explore the used of mixed reality technologies and immersive experiences. Specifically, the project will use mixed reality to enable construction engineering learners to: (1) spatially locate and manipulate design components in a virtual job-site environment; (2) view and operate a navigation system that enables indoor-positioning and location awareness; and (3) observe job-site images and spatially map an object?s surroundings from the 3D visualizations of designs. The project will study how the immersive mixed reality environment affects construction engineering students? learning. Results of the study may help to improve teaching and learning of engineering design thinking, specifically in construction engineering management.

Guided by conceptual research and empirical findings on spatial cognition and situated learning, this project will address key aspects of mixed reality-assisted instructional design and its application to construction engineering management problems, including the users? experiences. Three major needs in current construction engineering management pedagogy will be targeted: (i) application, analysis, and synthesis of design representation to situational and physical contexts; (ii) incorporation of in-situ contexts in structured and generalized construction engineering concepts; and (iii) integration and internalization of complex spatial and temporal information when using traditional materials (e.g., 2D drawings, videos, images). The design of a technology-based learning approach will contribute to the development of flexible and adaptable knowledge related to spatial and temporal information processing and may enhance students? visual perception, spatial ability, and internalization. This project expects to advance research in learning for the future engineering workforce and to contribute new knowledge about the effects of the human-technology frontier on problem-solving practices. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Please report errors in award information by writing to: awardsearch@nsf.gov.

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