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Dynamic testing: Can a robot as tutor be of help in assessing children's potential for learning?

Wilma C. M. Resing, Merel Bakker, Bart Vogelaar

Year
2019
Citations
13
Access
Open access

Abstract

Abstract This study examined whether computerized dynamic testing by utilizing a robot would lead to different patterns in children's (aged 6–9 years) potential for learning and strategy use when solving series‐completion tasks. The robot, in a “Wizard of Oz” setting, provided instructions and prompts during dynamic testing. It was found that a dynamic training resulted in greater accuracy and more correctly placed pieces at the post‐test than repeated testing only. Moreover, children who were dynamically trained appeared to use more heuristic strategies at the post‐test than their peers who were not trained. In general, observations showed that children were excited to work with the robot. All in all, the study revealed that computerized dynamic testing by means of a robot has much potential in tapping into children's potential for learning and strategy use. The implications of using a robot in educational assessment were stressed further in the discussion.

Keywords

RobotTest (biology)Computer scienceTUTORArtificial intelligenceDynamic assessmentHuman–computer interactionRobot learningSimulationPsychology

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