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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.
Originally, this question was developed by the Diagnostic Question Cluster (DQC) project (Parker et al., 2012).
AACR extended work of the Diagnostic Question Cluster research group, focusing on students' understanding of key concepts in molecular and cellular biology (e.g., tracing matter, energy, and information).
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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Diagnostic question clusters, also referred to as diagnostic question sets, do not necessarily rely only on closed-ended, multiple-choice questions.
The two clusters in question (Clusters 3 and 4, counted from the left) do indeed share common GO annotations indicating metabolic function (Fig. 3).
[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.
Items within the diagnostic question clusters are examples of questions with surface features that could possibly be varied as we varied the photosynthesis question (Wilson et al., 2006; Parker et al., 2012).
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.
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