Exploring Student Learning Profiles In Algebra-Based Studio Physics: A Person-Centered Approach

Abstract

In this study, we explore the strategic self-regulatory and motivational characteristics of students in studio-mode physics courses at three universities with varying student populations and varying levels of success in their studio-mode courses. We survey students using questions compiled from several existing questionnaires designed to measure students' study strategies, attitudes toward and motivations for learning physics, organization of scientific knowledge, experiences outside the classroom, and demographics. Using a person-centered approach, we utilize cluster analysis methods to group students into learning profiles based on their individual responses to better understand the strategies and motives of algebra-based studio physics students. Previous studies have identified five distinct learning profiles across several student populations using similar methods. We present results from first-semester and second-semester studio-mode introductory physics courses across three universities. We identify these five distinct learning profiles found in previous studies to be present within our population of introductory physics students. In addition, we investigate interactions between these learning profiles and student demographics. We find significant interactions between a student's learning profile and their experience with high school physics, major, gender, grade expectation, and institution. Ultimately, we aim to use this method of analysis to take the characteristics of students into account in the investigation of successful strategies for using studio methods of physics instruction within and across institutions.

Publication Date

4-28-2017

Publication Title

Physical Review Physics Education Research

Volume

13

Issue

1

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1103/PhysRevPhysEducRes.13.010119

Socpus ID

85025083217 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85025083217

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