Document Type
Dissertation
Degree
Doctor of Philosophy (PhD)
Major/Program
Curriculum and Instruction
First Advisor's Name
Eric Brewe
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Zahra Hazari
Second Advisor's Committee Title
Committee member
Third Advisor's Name
Haiying Long
Third Advisor's Committee Title
Committee member
Fourth Advisor's Name
Laird Kramer
Fourth Advisor's Committee Title
Committee member
Keywords
self-efficacy, physics, education, career, interest, identity, science, STEM, social network analysis, SNA
Date of Defense
3-7-2017
Abstract
This collected papers dissertation explores students’ academic interactions in an active learning, introductory physics settings as they relate to the development of physics self-efficacy and interest. The motivation for this work extends from the national call to increase participation of students in the pursuit of science, technology, engineering, and mathematics (STEM) careers. Self-efficacy and interest are factors that play prominent roles in popular, evidence-based, career theories, including the Social cognitive career theory (SCCT) and the identity framework. Understanding how these constructs develop in light of the most pervasive characteristic of the active learning introductory physics classroom (i.e., peer-to-peer interactions) has implications on how students learn in a variety of introductory STEM classrooms and settings structured after constructivist and sociocultural learning theories.
I collected data related to students’ in-class interactions using the tools of social network analysis (SNA). Social network analysis has recently been shown to be an effective and useful way to examine the structure of student relationships that develop in and out of STEM classrooms. This set of studies furthers the implementation of SNA as a tool to examine self-efficacy and interest formation in the active learning physics classroom. Here I represent a variety of statistical applications of SNA, including bootstrapped linear regression (Chapter 2), structural equation modeling (Chapter 3), and hierarchical linear modeling for longitudinal analyses (Chapter 4).
Self-efficacy data were collected using the Sources of Self-Efficacy for Science Courses – Physics survey (SOSESC-P), and interest data were collected using the physics identity survey. Data for these studies came from the Modeling Instruction sections of Introductory Physics with Calculus offered at Florida International University in the fall of 2014 and 2015. Analyses support the idea that students’ perceptions of one another impact the development of their social network centrality, which in turn affects their self-efficacy building experiences and their overall self-efficacy. It was shown that unlike career theories that emphasize causal relationships between the development of self-efficacy and the subsequent growth of student interest, in this context student interest takes precedence before the development of student self-efficacy. This outcome also has various implications for career theories.
Identifier
FIDC001742
ORCID
0000-0001-8419-265X
Recommended Citation
Dou, Remy, "The Interactions of Relationships, Interest, and Self-Efficacy in Undergraduate Physics" (2017). FIU Electronic Theses and Dissertations. 3228.
https://digitalcommons.fiu.edu/etd/3228
Included in
Curriculum and Instruction Commons, Longitudinal Data Analysis and Time Series Commons, Multivariate Analysis Commons, Other Physics Commons, Science and Mathematics Education Commons, Secondary Education Commons
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