Article ID Journal Published Year Pages File Type
401000 International Journal of Human-Computer Studies 2011 10 Pages PDF
Abstract

College students learned to solve chemistry stoichiometry problems with a web-based intelligent tutor that provided hints and feedback, using either polite or direct language. There was a pattern in which students with low prior knowledge of chemistry performed better on subsequent problem-solving tests if they learned from the polite tutor rather than the direct tutor (d=.78 on an immediate test, d=.51 on a delayed test), whereas students with high prior knowledge showed the reverse trend (d=−.47 for an immediate test; d=−.13 for a delayed test). These results point to a boundary condition for the politeness principle—the idea that people learn more deeply when words are in polite style. At least for low-knowledge learners, the results are consistent with social agency theory—the idea that social cues, such as politeness, can prime learners to accept a web-based tutor as a social partner and therefore try harder to make sense of the tutor’s messages.

Research Highlights► Students learned to solve chemistry problems with a web-based tutor. ► Low-knowledge learners learned better from a tutor who used polite wording. ► High-knowledge learners did not learn better from a polite tutor. ► The politeness principle applies to low-knowledge learners but not high-knowledge learners.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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