Extending computerized adaptive testing to multiple objectives: Envisioned on a case from the health care

Abstract

In the age of information, only personalized learning and education enables the adaption to always changing requirements. In health care, labor forces are especially in a continuous need of improvement and adaption. Maintaining an optimal care sets a dual goal in the education of health professionals: adapt to scientific developments while retaining the compliance with changing laws and regulations. Computerized adaptive testing (CAT), as a dynamic approach to education, is providing here the right adaptivity by optimizing time and precision of learning and scaling to the ability of the learner. This paper will provide an overview on the current state of CAT and connected methodologies and shed light on the potentials for the next generation of adaptive testing, which can support the emergence of novel ways of education. Its strength is shown on a scenario from the health care sector. © 2014 Springer International Publishing.