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Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education
NSF
About This Grant
The construction industry is not only one of the industries with the highest fatality rates, but also significantly consumes natural resources, with nearly $2.1 trillion worth of buildings constructed annually, resulting in a substantial ecological footprint. To address this, the construction industry is leveraging sensing technologies to achieve sustainable construction practices, making it necessary to upskill the future workforce in this area. However, the dynamic nature of construction sites and the ubiquitous safety challenges often impede hands-on experiences in practicing the use of sensing technologies to solve real-world problems and achieve sustainable construction practices. This project will investigate an embodied virtual reality and artificially intelligent environment (VRAPS) to facilitate the development of problem-solving skills of heterogeneous learners for sustainable construction. VRAPS will also be designed as an intelligent platform that can adapt to the diverse needs of different learners, making it a transferable learning environment with distinct features. This project will demonstrate how a personalized learning environment can close the competency gap between industry and construction education by developing a workforce capable of advancing sustainable practices in the construction industry. This planned research investigates a virtual reality and artificially intelligent environment for personalized learning in sustainable construction education (VRAPS). Through a mixed-methods approach, the project aims to answer the following questions: What competencies are required to advance sustainable construction using sensing technologies? What characteristics of an embodied virtual reality environment facilitate personalized learning of sustainable construction? And to what extent does a personalized and embodied virtual reality environment enhance problem-solving skills that are needed for advancing sustainable construction education? The first research question will be addressed through a Delphi study and a focus group discussion with industry practitioners to understand the competencies required to advance sustainable construction. The results will inform a formalized construction-domain learning content, which will drive the development of VRAPS. The proposed research will then combine interactive tools, technologies, and techniques, such as sensing technologies, virtual learning assistant, tangible objects, and artificial intelligence, to develop VRAPS. The development of VRAPS will provide engaging learning tools to complement traditional instruction, allowing teachers to tailor instruction to students’ needs. The second research question will be answered by leveraging behavioral data to investigate the characteristics of VRAPS that facilitate personalized learning. To answer the third research question, the research team will implement and assess VRAPS in two institutions to understand its effectiveness in enhancing the problem-solving skills required for advancing sustainable construction. VRAPS will contribute to the active learning theory through the use of multimodalities (such as virtual learning assistant and tangible interfaces) to support continuity during the acquisition of problem-solving skills for sustainable construction education. To reach a broader audience, VRAPS will be implemented for professional development, summer camps and outreach opportunities at Georgia Tech and CSU Fresno. This project is funded by the Research on Innovative Technologies for Enhanced Learning (RITEL) program that supports early-stage exploratory research in emerging technologies for teaching and learning. 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.
Grant Summary
Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education is a NSF grant providing up to $640K for university, nonprofit, small business. Applications are due 2028-09-30 (open). Check eligibility and apply with FindGrants.
Focus Areas
Eligibility
How to Apply
Up to $640K
2028-09-30
- 1Confirm your organization is eligible for Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education from NSF, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NSF before the deadline.
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Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education: Frequently Asked Questions
Who is eligible for the Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education?
Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education is offered by NSF and is generally open to university, nonprofit, small business. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education provide?
Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education provides up to $640K per award from NSF. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education deadline?
Applications for Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education are due 2028-09-30 (open). Because deadlines can change, verify the date with the funder, NSF, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education?
To apply for Collaborative Research: Virtual Reality and Artificial Intelligence for Personalized Learning in Sustainable Construction Education, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NSF.