Testing the Efficacy of an Automated Decision Model for Selecting Blended Performance Improvement Solutions, No. 07-R9774

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Principal Investigators
Jenifer L. Wheeler
Doretta E. Gordon

Inclusive Dates:  01/01/08 – 12/31/08

Background - The primary objective of this research study is to design and test the efficacy of an empirical decision model for selecting the best blend of performance improvement strategies and delivery methods. Designing a decision model to streamline and automate the process of selecting blended learning solutions would increase efficiency considerably and could contribute significantly to the development of blended training at the curriculum level in several sectors. Current and potential customers have expressed a need for applying this type of model to several programs that require re-analysis of training or conversion of extensive amounts of training.

Approach - The technical approach for the study includes four phases:

  • Develop Blended Learning Decision Model: gather best practices in applications of learning theory, instructional methodology, blended learning, and media selection in training; determine the factors, along with their categories and values that affect blended learning decisions.
  • Develop Automated Prototype Tool: develop a prototype web-based tool that uses the decision model to help users make efficient decisions on performance improvement strategies and delivery methods.
  • Conduct Evaluation: evaluate the effectiveness of the decision model compared to expert ratings.
  • Report Conclusions: summarize the best practices research, describe the methodology, report the study results, provide recommendations for further study, and prepare the report for publication.

Accomplishments - Current accomplishments include developing the decision model and algorithm for the prototype tool. Tool development and evaluation will be accomplished during future months.

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