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Berg, Stephanie A.; Moon, Alena – Chemistry Education Research and Practice, 2023
Both graph comprehension and data analysis and interpretation are influenced by one's prior knowledge and experiences. To understand how one's prior knowledge and experiences interact with their analysis of a graph, we conducted think-aloud interviews with general chemistry students as they interpreted a graph to determine optimal conditions for…
Descriptors: Graphs, Data Analysis, Data Interpretation, Science Process Skills
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Berg, Stephanie A.; Moon, Alena – Chemistry Education Research and Practice, 2022
To develop competency in science practices, such as data analysis and interpretation, chemistry learners must develop an understanding of what makes an analysis and interpretation "good" (i.e., the criteria for success). One way that individuals extract the criteria for success in a novel situation is through making social comparisons,…
Descriptors: Chemistry, Science Instruction, Self Evaluation (Individuals), Feedback (Response)
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Irby, Stefan M.; Phu, Andy L.; Borda, Emily J.; Haskell, Todd R.; Steed, Nicole; Meyer, Zachary – Chemistry Education Research and Practice, 2016
There is much agreement among chemical education researchers that expertise in chemistry depends in part on the ability to coordinate understanding of phenomena on three levels: macroscopic (observable), sub-microscopic (atoms, molecules, and ions) and symbolic (chemical equations, graphs, etc.). We hypothesize this "level-coordination…
Descriptors: Chemistry, Formative Evaluation, Graduate Students, College Students
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Glazer, Nirit – Chemistry Education Research and Practice, 2015
This study examines how students perceive their learning of creating and analyzing data in an introductory inquiry chemistry course at a college level that features oral presentations in student-centered discussions. A student Participant Perception Indicator (PPI) survey was administered in order to obtain data on student perceptions with respect…
Descriptors: Student Attitudes, Scientific Attitudes, Data Collection, Data Analysis