Creating personalized assessments based on learner knowledge and objectives in a hypermedia Web testing application

This paper presents an adaptive Web testing system where the adaptation of the testing procedure relies on the performance, the prior knowledge and the goals and preferences of the test participants. The main aim of the paper is to discuss the utility of the adaptive assessment tool. Therefore, the paper presents the authoring process of a number of adaptive assessments, where the educators utilized different adaptive rules to create summative and formative assessments. The paper presents the employed adaptive rules and summarizes the key points of the pilot study.

Research highlights
► An intelligent tool for adaptive tests based on learner knowledge and preferences.
► The tool can accommodate different testing aims.
► Educators yearn for more intelligent testing applications.
► Test creators used different adaptive rules in the formative and summative tests.