SBIR/STTR Research Award
Intelligent Design Advisor for Web-based Instructional Games
Award amount
$100,000Program and phase
SBIR · Phase IAward year
2002Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- INKITIKI CORPORATION
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- Not reported
- Solicitation number
- Not reported
- Topic code
- Not reported
Research 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 particularlyvalid 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 withoutincurring 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 the authors. Benefits: The ability to produce high quality effective web-based learning has become a critical factor in empowering the Nation's technological, economic, and military superiority. An effective intelligent advisor for online instructional design willenable the production of significantly better ADL materials. resulting in increased learning outcomes, and ultimately the
Technology keywords
Not reported