Looking inside the black box: assessing model-based learning and inquiry in BioLogica (TM)

被引:27
作者
Buckley, Barbara C. [1 ]
Gobert, Janice D. [2 ]
Horwitz, Paul [3 ]
O'Dwyer, Laura M. [4 ]
机构
[1] WestEd, 400 Seaport Court,Suite 222, Redwood City, CA 94063 USA
[2] Worcester Polytech Inst, Atwater Kent Labs, Social Sci & Policy Studies Deptp, Worcester, MA 01609 USA
[3] Concord Consortium, Concord, MA 01742 USA
[4] Boston Coll, Lynch Sch Educ, Newton, MA 02467 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
technology-based science learning; performance assessment; embedded assessment; formative assessment; model-based learning; genetics learning; problem-solving; model of inheritance; data-mining;
D O I
10.1504/IJLT.2010.034548
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The Modeling Across the Curriculum Project (MAC; IERI # 0115699, Oct 2001-2006) used real-time assessments to facilitate student learning and model-based inquiry among high school students. We developed technology, materials, and processes that enabled us to monitor and respond to students' actions. MAC learning activities engage students in a progressive model-building approach (Gobert, 2008; White and Frederiksen, 1990). Formative assessments were seamlessly embedded in scaffolding designed to guide model-based learning and inquiry. Because instruction and assessment were integrated, we were able to measure model-based inquiry skills in situ, thus circumventing the problem of assessing inquiry separate from its context (Mislevy et al., 2002). After identifying useful log file data and developing algorithms for analysing that data on a large scale, we identified productive inquiry strategies that correlated with learning gains. Our findings have immediate applicability to the design of tasks intended to elicit and support rich inquiry learning.
引用
收藏
页码:166 / 190
页数:25
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