SBIR/STTR Research Award

SBIR Phase I: Student Gaming and Algorithms

Award identifier 6e56fd6985530041ddf23d616479bcec56bf5c663e4fdb3321e08ad571e31cf2Awarding agency National Science Foundation

Award amount

$224,490

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
FideliumTech Inc
Proposal award date
2019-07-01
Contract end date
2020-06-30
UEI
LRTNKYE8AU58
Solicitation number
Not reported
Topic code
EA

Research abstract

This SBIR Phase I project will focus on developing and demonstrating feasibility of a first multi-player educational gaming platform where the experience in the game directly translates to real world skills in skilled trade. The platform will be a multiplayer experience in which gamers collaborate to complete construction projects and design and engineering efforts in the real world. This approach to training the next generation of construction professionals provides an efficient approach to train the next generations of construction managers, estimators, contractors, field superintendents and tradesmen. Since the construction industry continues to trail others related to the adoption of technology, the timeliness of this educational technology that links STEM learning within a simulated construction project is underscored. This technology will also address the challenge of making education, especially in the skilled trades, more accessible to socioeconomic disparate populations, and to other students not able to attend traditional universities to acquire these skills. This SBIR Phase I project will focus on developing and demonstrating feasibility of the high-risk components of the Design Builder Pro Simulator application. In general, the Phase I will require curriculum development and developing a prototype of the user interface, gaming and design layout. The prototype software will be integrated with intelligent algorithms to adjust gaming difficulty based on student performance. More specifically, the project includes the following 3 objectives: 1. Design and build alpha technology that successfully passes verification testing. Success metrics include the alpha prototype software interface and gaming subcomponents is developed and successfully passes all technical verification. 2. Develop intelligent algorithms to adaptively adjust game parameters. Success metrics include the developed algorithms accurately adjust game difficulty based on subject performance. 3. Complete a usability study to validate the student experience and core curriculum. Success metrics include Improved student knowledge about and interest in construction, significant positive quantitative and qualitative metrics from user validation. 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.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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