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Dynamic testing: Can a robot as tutor be of help in assessing children's potential for learning?
Author(s) -
Resing Wilma C.M.,
Bakker Merel,
Elliott Julian G.,
Vogelaar Bart
Publication year - 2019
Publication title -
journal of computer assisted learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.583
H-Index - 93
eISSN - 1365-2729
pISSN - 0266-4909
DOI - 10.1111/jcal.12358
Subject(s) - robot , test (biology) , computer science , tutor , artificial intelligence , dynamic assessment , human–computer interaction , robot learning , simulation , psychology , machine learning , developmental psychology , mobile robot , paleontology , biology , programming language
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.