SBIR/STTR Research Award

SBIR Phase I: An automated tutoring software that teaches K-12 students coding through integration with popular video games

Award identifier 8f2b70d805f9c0a435f9d2db2755a446eacaaace2a1be91c4555255567378899Awarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2015

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
THOUGHTSTEM, LLC
Proposal award date
2015-07-01
Contract end date
2015-12-31
UEI
TF7RPZQW7UX1
Solicitation number
Not reported
Topic code
EA

Research abstract

This SBIR Phase I project would result in the development of an intelligent automated tutoring system for teaching coding to K-12 students. Millions of 6-14 year old students in the U.S. have an interest in learning how to mod ("modify") popular video games, but lack the necessary skillset: coding. Coding is a highly valuable STEM subject, but is not currently a core subject in U.S. schools. Because the U.S. is not producing enough skilled workers in computing fields, there will be 56,000 jobs that go unfilled by U.S. workers every year. This project aims to expose millions of students to coding in the next 5 years by making modding accessible to them. In order to teach millions of students at scale, this project will develop a complex automated tutoring system which intelligently guides students through their coding education, detects and helps students when they run into errors, and provides students with a near-endless supply of puzzles and educational content. This project plans to tackle ongoing problems in the field of computer science education. The automated tutoring system developed through this project will be a foundation for automated tutoring systems that teach other STEM subjects. The main technical innovation of this project is a browser-based IDE for writing code and executing it within the runtime environment of video games. This inherently gamified coding environment opens new doors in computer science education. Around this coding environment, an automated tutoring system is being built. This project aims to tackle several problems in computer science education. These problems include: (1) a stealth assessment system that identifies when a student does not understand a coding concept and that guides the student towards understanding, (2) a novice-friendly error detection and reporting system that points students to the part of their code where the error originated, (3) an automated Stack Overflow-like resource for novice programmers that suggests possible solutions when the novice encounters an error, (4) a random puzzle generator that creates a near-endless supply of coding educational content for different skill levels, (5) tutorials and puzzles that gamify the transition from a visual programming language to a syntactically complex programming language, and (6) teacher tools and APIs that allow teachers to integrate the software into their classrooms. By solving these problems in computer science education, this project aims to make an effective coding education tool that scales.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2015–2016). Reported award amounts total $900,000. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

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.