Self-standardizing cognitive profile based on gardner's multiple intelligence theory

Abstract

There are different theories to estimate cognitive abilities. Gardner proposed a model, where intelligence is defined by multiple fields instead of using one specific number. However, the characterization and automated evaluation of these fields are still open issues. If we can make standalone measurements in separate intelligence fields, the numerical modeling of the competencies is possible. Observing the cognitive abilities of children can lead us to an optimized learning experience in performance and engagement. Our aim is to automatically match problem sets and intelligence fields in order to achieve a faster and deeper learning experience. The amount of data to be collected makes the automation of this process a focus point of these studies. In this paper we present an automatic cognitive profiling system with the help of smart devices and AdaptEd - an adaptive educational gaming framework. With the presented system the learning methods and tasks can be fine-tuned, and a personalized and more effective learning environment can be achieved.