SBIR/STTR Research Award

Deep Fractions Learning: A Core Curriculum of Games, Inquiry, and Collaboration

Award identifier eabe1e4eadbd522e847d4a7a09eea126b30d35b649a1052b43263a6497dd6d59Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$149,650

Program and phase

SBIR · Phase I

Award year

2018

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
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
TEACHLEY, LLC
Proposal award date
2018-09-01
Contract end date
2019-02-28
UEI
NATULVSV4VX6
Solicitation number
PA17-302
Topic code
500

Research abstract

ProjectSummary AbstractThereisanenormousdeficitinstudentsunderstandingoffractionsintheUnitedStatesFifthgradefractionknowledgepredictshighschoolmathperformanceevenwhencontrolling forworkingmemorywholenumberknowledgeIQreadingabilityanddemographicfactorsSiegleretalThereforeaddressingthisdeficitisaparticularlyimportantareaforearly interventionWiththisFast TrackgrantDeepFractionsLearningweproposetotransformthe wayinwhichstudentslearncoremathcurriculumsothatmaterialsaremoreinteractiveand engagingpromotedeeperlearningofcontentandarealignedwiththeCommonCoreMore specificallywewilldevelopandevaluateadigitalcurriculumforgradescoveringthe fractionsdomainthatcombinesgamescollaborationandaninquiryapproachWeproposeto developaninnovativetechnologyinfrastructurethatwillintegrateTeachleylearninggamesSuccessforAll sSFAcooperativelearningframeworkandrigorouslessoncontentWewill integrateresearchintothedesignprocessandworkwithJohnsHopkinsUniversitytoevaluate theefficacyoftheinterventionOutcomesTheinterventionwillencouragefourdirectoutcomesforstudentsnamely improvedconceptualunderstandingoffractionsproceduralfluencywithfractions operationsmathematicaljustificationandmotivationFirstthecurriculumwillbuildboth conceptualunderstandingandproceduralfluencyprovidingstrongvisualmodelswithin engaginggamesthatmotivatestudentstopracticeThecollaborativelearningmodelandinquiry approachwillimprovestudentsmathematicaljustificationFinallyweencouragethese outcomeswithinamotivationalsupportstructuredesignedtofosterengagementand self efficacyImprovingstudentsacademicoutcomesandself efficacyintheareaoffractionsduring elementaryschoolwillpromotelatersuccessinhighschoolmathematicsSinceeachadditional mathclassstudentscompleteinhighschoolmorethandoublestheoddsofcollegecompletionAdelmantheinterventionhasthepotentialtomakearealdifferenceinwhether studentsachievesustainablecareersversusbeingstuckinlow wagejobs ProjectNarrativeFractionsknowledgeinthefifthgradestronglypredictshighschoolmathperformanceevenwhencontrollingforworkingmemorywholenumberknowledgeIQreadingabilityand demographicfactorsSiegleretalInterventioninthisessentialcontentareawill improvestudentsmathabilityintheshortandlongtermwhichinturnwillleadtoseveral positivedistaloutcomessuchasgreaterhighschoolgraduationratesandcollegeattendance

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

16 SBIR/STTR records share this UEI (2012–2023). Reported award amounts total $9,491,627. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Education, Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

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.