2213202
Project Grant
Overview
Grant Description
Sbir Phase I: Adaptive Dialog Systems as Second Language Learning Partners -The Broader Impact of This Small Business Innovation Research (SBIR) Phase I Project Centers on Offering a Lower-Cost, More Accessible Alternative to Help People Everywhere Learn to Speak a New Language.
By Using State-of-the-Art Conversational Artificial Intelligence (AI), the Project Offers Students Individualized, Curriculum-Based Learning That Is Affordable and Accessible 24 Hours a Day, with No Limits on the Amount of Time They Can Practice. Additionally, the AI System Will Be Able to Analyze Learners? Speech to Offer Suggestions on Ways to Improve Their Grammar and Conversational Fluency, in Much the Same Way a Trained Tutor Would Assist a Student.
The Project Brings Conversational AI to the Language Learning Market, Enabling a More Effective, Entertaining, and Low-Cost Product to Transform the Current Language Learning Paradigm.
This Small Business Innovation Research (SBIR) Phase I Project Is an Innovative Integration Effort to Combine State-of-the-Art AI Technologies for Education Applications. The Project Will Contribute New User-Adaptive Algorithms and Datasets for Dialog Policy Training on Language Learning Tasks. The Project Will Contribute to the Company?s Open-Source, Multimodal, Dialog System Framework to Enable the Dialog Community to Reduce the Entry Barrier for Multimodal Dialog System Research.
The Project Will Also Provide the Community with an Annotated Conversational Dataset for Grammatical Error Correction Along with a Trained Grammar Correction Model and Grammar Error Type Detector. The Developed Educational Dialog Systems for Second Language Communication Learning Can Also Serve as a General Framework for Education Experts to Test Different Learning Theories.
This Project Will Also Explore Hypotheses of Whether Adaptive Conversation Experience and Different Feedback Structures Will Impact Learner Confidence and Learning Gain.
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.
By Using State-of-the-Art Conversational Artificial Intelligence (AI), the Project Offers Students Individualized, Curriculum-Based Learning That Is Affordable and Accessible 24 Hours a Day, with No Limits on the Amount of Time They Can Practice. Additionally, the AI System Will Be Able to Analyze Learners? Speech to Offer Suggestions on Ways to Improve Their Grammar and Conversational Fluency, in Much the Same Way a Trained Tutor Would Assist a Student.
The Project Brings Conversational AI to the Language Learning Market, Enabling a More Effective, Entertaining, and Low-Cost Product to Transform the Current Language Learning Paradigm.
This Small Business Innovation Research (SBIR) Phase I Project Is an Innovative Integration Effort to Combine State-of-the-Art AI Technologies for Education Applications. The Project Will Contribute New User-Adaptive Algorithms and Datasets for Dialog Policy Training on Language Learning Tasks. The Project Will Contribute to the Company?s Open-Source, Multimodal, Dialog System Framework to Enable the Dialog Community to Reduce the Entry Barrier for Multimodal Dialog System Research.
The Project Will Also Provide the Community with an Annotated Conversational Dataset for Grammatical Error Correction Along with a Trained Grammar Correction Model and Grammar Error Type Detector. The Developed Educational Dialog Systems for Second Language Communication Learning Can Also Serve as a General Framework for Education Experts to Test Different Learning Theories.
This Project Will Also Explore Hypotheses of Whether Adaptive Conversation Experience and Different Feedback Structures Will Impact Learner Confidence and Learning Gain.
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.
Awardee
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
New York,
New York
10027-6011
United States
Geographic Scope
Single Zip Code
Related Opportunity
None
Analysis Notes
Amendment Since initial award the total obligations have decreased 50% from $512,000 to $256,000.
Articulate.Ai was awarded
Project Grant 2213202
worth $256,000
from National Science Foundation in March 2023 with work to be completed primarily in New York New York United States.
The grant
has a duration of 8 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I:Adaptive Dialog Systems As Second Language Learning Partners
Abstract
The broader impact of this Small Business Innovation Research (SBIR) Phase I project centers on offering a lower-cost, more accessible alternative to help people everywhere learn to speak a new language. By using state-of-the-art conversational artificial intelligence (AI), the project offers students individualized, curriculum-based learning that is affordable and accessible 24 hours a day, with no limits on the amount of time they can practice. Additionally, the AI system will be able to analyze learners’ speech to offer suggestions on ways to improve their grammar and conversational fluency, in much the same way a trained tutor would assist a student. The project brings conversational AI to the language learning market, enabling a more effective, entertaining, and low-cost product to transform the current language learning paradigm._x000D_ _x000D_ This Small Business Innovation Research (SBIR) Phase I project is an innovative integration effort to combine state-of-the-art AI technologies for education applications. The project will contribute new user-adaptive algorithms and datasets for dialog policy training on language learning tasks. The project will contribute to the company’s open-source, multimodal, dialog system framework to enable the dialog community to reduce the entry barrier for multimodal dialog system research. The project will also provide the community with an annotated conversational dataset for grammatical error correction along with a trained grammar correction model and grammar error type detector. The developed educational dialog systems for second language communication learning can also serve as a general framework for education experts to test different learning theories. This project will also explore hypotheses of whether adaptive conversation experience and different feedback structures will impact learner confidence and learning gain._x000D_ _x000D_ 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.
Topic Code
AI
Solicitation Number
NSF 21-562
Status
(Complete)
Last Modified 3/21/23
Period of Performance
3/15/23
Start Date
11/30/23
End Date
Funding Split
$256.0K
Federal Obligation
$0.0
Non-Federal Obligation
$256.0K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2213202
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
R9THA4BEZVF6
Awardee CAGE
978S2
Performance District
Not Applicable
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $256,000 | 100% |
Modified: 3/21/23