Agent-based dynamic support for learning from collaborative brainstorming in scientific inquiry

dc.contributor 國立臺灣師範大學科學教育研究所 zh_tw
dc.contributor.author Wang, H. C. en_US
dc.contributor.author Ros�, C. P. en_US
dc.contributor.author Chang, C. Y. en_US
dc.date.accessioned 2014-12-02T06:41:53Z
dc.date.available 2014-12-02T06:41:53Z
dc.date.issued 2011-09-01 zh_TW
dc.description.abstract This paper seeks to contribute new insight to the process of learning during idea generation (i.e., brainstorming) by proposing and evaluating two alternative operationalizations for learning, which we refer to as connection-based learning and multi-perspective learning, during a carefully designed idea-generation task in the earth-sciences domain. Specifically, this paper presents two controlled experiments. In the first study we manipulate two independent factors, first whether students work individually or in pairs, and second whether students work with the VIBRANT agent or not. The second study includes one additional hybrid agent condition motivated by results from the first study as well as other enhancements to the VIBRANT agent’s discussion-analysis technology. Our finding is that while brainstorming in pairs leads to short-term process losses in terms of idea-generation productivity, with a corresponding reduction in connection-based learning, it produces a gain in multi-perspective learning. Furthermore, automatically generated feedback from VIBRANT improves connection-based learning. In the second study, support from an enhanced version of VIBRANT showed evidence of mitigating the process losses that were associated with reduced learning in the pairs condition of the first study. en_US
dc.description.uri http://download.springer.com/static/pdf/687/art%253A10.1007%252Fs11412-011-9124-x.pdf?auth66=1393556270_8c51aeef12e9a05f0c331dd72bb497f3&ext=.pdf zh_TW
dc.identifier ntnulib_tp_C0701_01_078 zh_TW
dc.identifier.issn 1556-1607 zh_TW
dc.identifier.uri http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/42469
dc.language en_US zh_TW
dc.publisher Springer US en_US
dc.relation International Journal of Computer-Supported Collaborative Learning, 6(3), 371-395. en_US
dc.relation.uri http://dx.doi.org/10.1007/s11412-011-9124-x zh_TW
dc.subject.other Collaborative idea generation Collaborative process analysis Dynamic collaboration support en_US
dc.title Agent-based dynamic support for learning from collaborative brainstorming in scientific inquiry en_US
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