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[Abstract available: www.jstor.org/pss/10.1525/bio.2011.61.1.12] The authors describe a study that used diagnostic question clusters (DQCs) to examine undergraduate students' reasoning patterns about carbon-transforming processes.
The two clusters in question (Clusters 3 and 4, counted from the left) do indeed share common GO annotations indicating metabolic function (Fig. 3).
Diagnostic question clusters, also referred to as diagnostic question sets, do not necessarily rely only on closed-ended, multiple-choice questions.
In addition, the pioneering efforts in biology concept inventory development coupled with uneasiness about what is really being measured also seems to have stimulated the development of a related, but distinct approach: diagnostic question clusters.
In addition, several recently developed assessments are devoted at least in part to specifically measuring problem solving (i.e., diagnostic question clusters [DQC]; Parker et al., 2012), critical thinking (Bissell and Lemons, 2006), and basic process skills (Gormally et al., 2012).
The results of a validated ecology conceptual inventory (diagnostic question clusters [DQCs]) provided us with information about students' understanding of and reasoning about transformation of inorganic and organic carbon-containing compounds in biological systems.
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Originally, this question was developed by the Diagnostic Question Cluster (DQC) project (Parker et al., 2012).
Interestingly, the Support section represents the smallest question cluster in the QOLQ.
We present a diagnostic question cluster (DQC) that assesses undergraduates' thinking about photosynthesis.
The impetus for this research emerged as a result of the authors' 3-yr participation in the diagnostic question cluster (DQC) faculty development program (Hartley et al., 2011).
We suggest in this study that principled reasoning provides that framework and we provide a diagnostic question cluster (Supplemental Material A) that assesses students' principled reasoning about photosynthesis.
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