SBIR/STTR Research Award

SBIR Phase I: Adaptive Mobile Learning for STEM Education Using Massive Open Online Courses

Award identifier 9b236113331fa6802e003e03d8e5b36d64e948239ff6d68f4c086aca692fdaeaAwarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2013

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
AdaptiveWave Inc.
Proposal award date
2013-07-01
Contract end date
2014-02-28
UEI
J15FULBJEWH3
Solicitation number
Not reported
Topic code
EA

Research abstract

The innovation will introduce game-changing brain-based adaptive mobile learning technology to science, technology, engineering and math (STEM) education. The proprietary technology provides multiple learning pathways as well as cognitive behavior analytics to help learners reach maximum learning outcomes. The new technology utilizes a powerful Markovian statistical inference engine to stimulate, create and strengthen neural pathways to enhance the acquisition, retention, recall and application of knowledge. It is unique in integrating four dimensional aspects of learning -- multimedia, learning pedagogy, interactivity and social interaction, and addresses five learning strategies -- apprentice incidental, inductive, deductive and discovery. The platform collects click-stream data, allowing continuous learner assessment and dynamic re-rendering of content for real-time remediation. The data also provide the means for ongoing learner analytics for continuous course improvement. Learners participating in early trials of the adaptive learning technology achieved a high degree of competency and course completion. The project?s investigative focus will be on teaching undergraduate physics at a public university. The scalability of courses delivered via this technology and the potential to offer Massive Open Online Courses, combined with the application of knowledge gained from learner analytics, could revolutionize STEM education and greatly increase the flow of students in the STEM career pipeline. The broader/commercial impact of science, technology, engineering and technology (STEM) education delivered via adaptive mobile learning technology is tied to its ability to increase the number of STEM professionals. This will be promoted by increasing both the number of students taking STEM courses and the percentage of students successfully completing them. The innovative adaptive mobile learning technology is (1) flexible for adaptation to any curricula and for any student population, including remedial or advanced placement; (2) scalable, whether for one classroom or a Massive Open Online Course offered to tens of thousands of students; (3) portable, in that courses can be accessed anywhere, anytime, including by smart phone or tablet, with minimal technology requirements; (4) affordable, because post-secondary and secondary institutions can offer cloud-based courses without an investment in technology and technical support; and, above all, (5) effective, providing each student a personalized learning environment, an effective learning trajectory, and real-time remediation until competency is achieved. The project's Phase I focus is introductory physics. Additional STEM offerings will be developed and deployed as the project progresses, with near-term potential to develop 20 pre-college STEM Massive Open Online Courses reaching one million students a year.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.