Answering the Questions of Whether and When Learning Occurs: Using Discrete-Time Survival Analysis to Investigate the Ways in Which College Chemistry Students' Ideas About Structure-Property Relationships Evolve

ABSTRACT Longitudinal studies can provide significant insights into how students develop competence in a topic or subject area over time. However, there are many barriers, such as retention of students in the study and the complexity of data analysis, that make these studies rare. Here, we present h...

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Published inScience education (Salem, Mass.) Vol. 99; no. 6; pp. 1055 - 1072
Main Authors UNDERWOOD, SONIA M., REYES-GASTELUM, DAVID, COOPER, MELANIE M.
Format Journal Article
LanguageEnglish
Published New York Blackwell Publishing Ltd 01.11.2015
Wiley-Blackwell
Wiley Periodicals Inc
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Summary:ABSTRACT Longitudinal studies can provide significant insights into how students develop competence in a topic or subject area over time. However, there are many barriers, such as retention of students in the study and the complexity of data analysis, that make these studies rare. Here, we present how a statistical framework, discrete‐time survival analysis, can help overcome these barriers to longitudinal assessment studies using data from our research on students’ understanding of structure–property relationships in chemistry. In the study presented, we administered the Implicit Information from Lewis Structures Instrument (IILSI)—an instrument designed to elicit from students what information can be predicted using a Lewis structure—to three cohorts of students at five time points over a two‐year period, throughout their general chemistry and organic chemistry courses, to determine the ways in which student ideas about structure–property relationships evolved. Using survival analysis, we were able to identify both whether and when learning occurred over the two‐year period. The single model also allowed us to construct trajectories to determine the ways in which students developed the ideas that underlie structure–property relationships in chemistry.
Bibliography:istex:819705777B298937586A2AD1004E493202BC459C
ArticleID:SCE21183
ark:/67375/WNG-9XJQ3HC9-T
Contract grant numbers: 1341987 and 1420005.
Contract grant sponsor: NSF.
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ISSN:0036-8326
1098-237X
DOI:10.1002/sce.21183