2018 Physics Education Research Conference Proceedings 2019
DOI: 10.1119/perc.2018.pr.doucette
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What’s happening in traditional and inquiry-based introductory labs? An integrative analysis at a large research university

Abstract: There is a growing recognition of the need to replace "cookbook"-style introductory labs with moremeaningful learning experiences. To identify the strengths and weaknesses of a mix of cookbook-style and inquiry-based labs, an introductory lab course currently being reformed was observed following a reflexive ethnographic protocol and pre and post E-CLASS surveys were administered. We analyzed data to identify shortcomings of the current labs and to determine areas for improvement.

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Cited by 4 publications
(3 citation statements)
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“…As a dependent variable, we rely on a categorization of E-CLASS items [35] that identified a cluster of 6 items as relevant to NoS in our context [36]. E-CLASS scores indicate the degree to which a student agrees with expert-like attitudes toward 30 items related to experimental science.…”
Section: Methodology and Resultsmentioning
confidence: 99%
“…As a dependent variable, we rely on a categorization of E-CLASS items [35] that identified a cluster of 6 items as relevant to NoS in our context [36]. E-CLASS scores indicate the degree to which a student agrees with expert-like attitudes toward 30 items related to experimental science.…”
Section: Methodology and Resultsmentioning
confidence: 99%
“…These survey questions were validated along with other constructs on a larger motivational survey using think-aloud individual interviews with students to ensure that students interpreted the questions correctly, factor analysis of student responses to ensure that the questions grouped into clusters as expected, as well as analysis of Cronbach's alpha for each factor and Pearson correlation amongst different factors [31]. In order to investigate how equal participation predicts peer effect on physics interest or peer effect on physics self-efficacy in a multiple linear regression model, we used gender and a selfefficacy construct extracted from E-CLASS [32,33] as controls to improve the explanatory power of the model. We note that the larger pool of data (300 men and 492 women) for how equal participation predicts peer effect on self-efficacy allowed smaller effects to manifest as statistically significant if they were present.…”
Section: An Even Split or An Equitable Distribution?mentioning
confidence: 99%
“…As noted earlier, we also analyzed responses to the E-CLASS survey [32], which students completed at the start and end of the semester, in order to control for students' selfefficacy in our linear regression models. We extracted a subset of four items from the E-CLASS that are related to the participants' own perceptions of their self-efficacy [33], shown in Table I.…”
Section: An Even Split or An Equitable Distribution?mentioning
confidence: 99%