Adaptive Content with Evidence-Based Diagnosis (ACED)

ACED was an NSF sponsored assessment “for” learning system that had the following features:

• ACED Model was constructed using Evidence-centered assessment design methodology.

• Proficiency based on expert analysis of domain (Algebraic sequences).

• Q-Matrix was augmented to included prior opinion about item difficulty.

• [Accessibility] – Tasks were designed to be presented either on-screen or in special touch-graphics mode for persons with low visual acuity.

• [Elaborated task-specific feedback] was available for all items.

• Bayesian network scoring engine

• [Weight-of-evidence] algorithm for adaptive task selection

• Evaluation a randomized trial with 268 middle school students showed that

  • ACED (with adaptivity and elaborated feedback) produced significant gains between the pre-test and post-test.
  • ACED scores correlated well with post-test scores, and the correlation “‘improved’” when elaborated feedback was given.

This website has the following details about ACED:

• People – Who worked on the project

• Model – Description of the model.

• Data – Description of the data collected from the experiment, and how to gain access.

• Publications – A list of reports that can provide additional information.

ACED development and data collection was sponsored by National Science Foundation Grant No. 0313202.