科學教育研究所

Permanent URI for this communityhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/61

本所於民國75年秋奉教育部核准設立,經當時理學院吳院長京一、與數學系、物理系、化學系、生物系、地球科學系等系主任,以及本校科學教育學者之籌備和規劃,分別於75年成立博士班,於76學年度招收第1屆博士班學生,83年成立碩士班,於84學年度起正式招收第1屆碩士班學生,87年成立教學碩士班,於88學年度招收第1屆教學碩士班學生。

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    Providing support for creative group brainstorming: taxonomy and technologies
    (2006-06-30) Wang, H. C.; Ros�, C. P.; Li, T. Y.; Chang, C. Y.
    This paper describes our plans and current work towards developing a user modelingbased learning environment for creative group brainstorming in qualitative domains. This research framework aims to guide the investigation and integration of different brainstorming activities, theoretical foundations and supportive technologies in order to benefit learning most. Intervention studies and system development are proposed to take place in parallel to ensure that the design of system behavior is informed by research results.
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    Agent-based dynamic support for learning from collaborative brainstorming in scientific inquiry
    (Springer US, 2011-09-01) Wang, H. C.; Ros�, C. P.; Chang, C. Y.
    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.
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    VIBRANT: A brainstorming agent for computer supported creative problem solving
    (Springer Berlin Heidelberg, 2006-01-01) Wang, H. C.; Li, T. Y.; Ros�, C. P.; Huang, C. C.; Chang, C. Y.
    This paper describes key issues underlying the design of a tutoring system that brainstorms with students in order to support qualitative problem solving. Cognitively oriented and socially oriented support are enabled by two technologies, namely heuristic-based feedback generation and community-data-driven social recommendation. Formal representations and corresponding automated reasoning procedures for these technologies are introduced.