Not engaging with problems in the lab: Students' navigation of conflicting data and models
Anna McLean Phillips, Meagan Sundstrom, David G. Wu, and N. G. Holmes

TL;DR
This study investigates why some student groups in open-ended labs do not engage productively with conflicting data, highlighting the importance of framing and expectations in supporting effective scientific reasoning.
Contribution
It identifies how students' framing and perceptions influence their engagement with conflicting data in laboratory settings, informing instructional strategies.
Findings
Minor differences in behaviors between engaged and disengaged groups
Disengaged groups see the activity as confirming known results
Framing as hoops to jump through correlates with non-engagement
Abstract
With the adoption of instructional laboratories (labs) that require students to make their own decisions, there is a need to better understand students' activities as they make sense of their data and decide how to proceed. In particular, understanding when students do not engage productively with unexpected data may provide insights into how to better support students in more open-ended labs. We examine video and audio data from groups within a lab session where students were expected to find data inconsistent with the predictions of two models. In prior work, we examined the actions of the four groups that productively grapple with this designed problem. Here, we analyze the engagement of the three groups that do not. We conducted three phases of analysis: 1) documenting large scale behaviors and time spent in on-topic discussion, 2) analyzing interactions with the teaching assistant,…
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