ALERT BAR

EAC Visual Data

Provided by Academic Computing

EAC Visual Data (EAC) enhances Blackboard Assessment statistics and analysis. EAC can be used to review test and item reliability statistics. This information can aid in improving quality of tests and test questions.

Key Features

  • Statistical measures include:
    • Cronbach alpha
    • Distractor point biserial correlation
    • KR(20)
    • p-Value
  • Analysis reports include:
    • Summary statistics (exam)
    • Item analysis (questions)
    • Distractors (answer choices)
    • Student data
  • Reports can be exported to MS Excel and printed to PDF
  • Ease of use

Getting Started

Contact Us

Academic Computing

Monday - Friday, 8:00 AM - 5:00 PM
Email: edtech@utmb.edu