Intelligent Design Advisor for Web-based Instructional Games

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$735,799.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
W31P4Q-05-C-R025
Award Id:
61356
Agency Tracking Number:
O022-0094
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
INKITIKI CORP. (Currently InkiTiki Corporation)
P.O. Box 8863, Honolulu, HI, 96830
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
113229152
Principal Investigator:
Paulo Machado
President
(808) 951-8288
Paulo@InkiTiki.com
Business Contact:
Susanna Tsai
CEO
(808) 951-8288
Susanna.Tsai@InkiTiki.com
Research Institution:
n/a
Abstract
Design advisors are the most viable method to guide novices and non-ID professionals through the process of creating effective instructional materials, and are especially useful in situations where experts are unavailable. Yet, production of accurate advisors requires tedious detailed analysis of relevant expertise, processes, and tasks. However, sufficient expertise may not always be available, or may be incomplete, inconsistent, or changing frequently. This is particularly valid for new domains, such as online instructional games. An alternative route is automated Machine Learning (ML). Author feedback and machine learning can be used to selectively and automatically refine, revise, validate, and expand the advisor's expertise, improving performance and effectiveness without incurring the repeated costs and inconvenience of manual system upgrades. We propose to undertake this promising route, with the goal of producing a web-based intelligent advisor that incorporates machine learning technology to automatically improve its effectiveness as it interacts with authors.

* information listed above is at the time of submission.

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