APPLICATION OF RASCH MEASUREMENT MODEL IN COMPUTERIZED ADAPTIVE TESTING FOR STUDENT KNOWLEDGE ASSESSMENT

Abstract

Objective: To evaluate the effectiveness and efficiency of an adaptive ability testing algorithm (CAT) for the assessment of student's entry knowledge level based on a computer-based testing system (CBT).

Methods: The CAT system algorithm was designed based on the integration of Rasch model into computer-based adaptive ability testing, using PHP programming language and MySQL database. The study describes some basic operational principles and implementation needed to build and evaluate the algorithm, identify limitations and suggest solutions.

Results: The CAT algorithm was shown to be effective and efficient, giving evidence the adaptive test be more concise and accurate than the non-adaptive test.

Conclusion: The research results recognized the effectiveness and efficiency of the CAT algorithm as well as suggestion for further quality improvement of the algorithm.

Keywords: Ability measurement, formative evaluation, computer-based test (CBT), computerized adaptive test (CAT), Rasch model, item response theory (IRT)