
handle: 2066/166084
This study explores developmental changes in the ability to ask informative questions. We hypothesized an intrinsic link between the ability to update beliefs in light of evidence and the ability to ask informative questions. Four- to ten-year-old children played an iPad game asking them to identify a hidden bug. Learners could either ask about individual bugs, or make a series of feature queries (e.g., "Does the bug have antennae?") that could more efficiently narrow the hypothesis space. The task display either helped children integrate evidence with the hypothesis space or required them to do so. Although we found that helping children update their beliefs improved some aspects of their active inquiry behavior, those that updated their own beliefs asked questions that were more context-sensitive and thus informative. The results show how making a task more difficult may actually improve children’s active inquiry skills, thus illustrating a type of desirable difficulty.
The 38th Annual Meeting of the Cognitive Science Society (CogSci 2016), 10 - 13 augustus 2016, 10 augustus 2016
Contains fulltext : 166084.pdf (Publisher’s version ) (Open Access)
question asking, hypothesis testing, information search, scientific reasoning, Cognitive artificial intelligence, active in-quiry, DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication
question asking, hypothesis testing, information search, scientific reasoning, Cognitive artificial intelligence, active in-quiry, DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
