2017
DOI: 10.1002/tea.21409
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A person‐in‐context approach to student engagement in science: Examining learning activities and choice

Abstract: Science education reform efforts in the Unites States call for a dramatic shift in the way students are expected to engage with scientific concepts, core ideas, and practices in the classroom. This new vision of science learning demands a more complex conceptual understanding of student engagement and research models that capture both the multidimensionality and contextual specificity of student engagement in science. In a unique application of person-oriented analysis of experience sampling data, we employ cl… Show more

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Cited by 123 publications
(153 citation statements)
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References 69 publications
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“…From this we determined the optimal number of clusters to be five (a coincidence of this study, and not a reflection of the number of unique codes, as the random data does not have an elbow at five). The clusters account for 70% of the variance in the data (64% of equipment use, 78% of paper and notebook use, 79% of laptop and personal device use, 73% of lab desktop computer use, and 59% of other activities), well above the 50% threshold used for a study of this type [11,12]. 2.…”
Section: B Cluster Analysismentioning
confidence: 99%
“…From this we determined the optimal number of clusters to be five (a coincidence of this study, and not a reflection of the number of unique codes, as the random data does not have an elbow at five). The clusters account for 70% of the variance in the data (64% of equipment use, 78% of paper and notebook use, 79% of laptop and personal device use, 73% of lab desktop computer use, and 59% of other activities), well above the 50% threshold used for a study of this type [11,12]. 2.…”
Section: B Cluster Analysismentioning
confidence: 99%
“…With regard to the specificity of interest, that is, pertaining to what a person is interested in, the use of school subjects for characterizing the content structure of students' interest in science is often considered too rough from a theoretical perspective. Additional aspects such as subject contents and themes, contexts (Häussler, Hoffmann, Langeheine, Rost, & Sievers, ), or activities (Schmidt, Rosenberg, & Beymer, ; Swarat et al, ) may be indispensable for describing profiles of interest in science. Such an integrated approach is provided by the adapted version of Holland's RIASEC model, allowing more precise insights into the development of interest and its connection to learning (Blankenburg, Höffler, & Parchmann, ; Dierks et al, , ).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…When working on independent problems or tasks such as writing, calculating, solving problems, or working on a computer student engagement can increase (Shernoff et al, 2003;Wu & Huang, 2007). However, Schmidt et al (2017) find that independent work in secondary science classes is associated with lower levels of engagement.…”
Section: Science Classroom Activitiesmentioning
confidence: 86%
“…When lecturing, a teacher presents new material or solves problems in front of the classroom (Lavonen, Angell, Byman, Henriksen, & Koponen, 2007). Previous ESM studies among U.S. students reveal that lecturing seems to be associated with decreased student situational engagement (Schmidt, Rosenberg, & Beymer, 2017;Shernoff et al, 2003).…”
Section: Science Classroom Activitiesmentioning
confidence: 99%
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