PERC 2019 Abstract Detail Page
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Abstract Title: | A Longitudinal Exploration of Students’ Beliefs about Experimental Physics |
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Abstract: | Michigan State University physics department has recently transformed its algebra-based, introductory physics laboratory curriculum. This transformed, two-course sequence, Design, Analysis, Tools, and Apprenticeship (DATA) Lab, emphasizes the development of experimental skills and laboratory practices and provides students with an authentic physics laboratory experience. In this presentation, we will discuss the longitudinal results on how students perceive experimental physics through the two course sequence: mechanics (DL1) and electricity and magnetism (DL2). In both courses, data was collected pre- and post-instruction via the Colorado Learning Attitudes and Science Survey for Experimental Physics (E-CLASS). Students in the traditional-to-traditional course sequence demonstrated an overall decline in their expert-like responses. Students enrolled in the transformed-to-transformed course sequence showed higher yet stable expert-like responses toward experimental physics. Students in the traditional-to-transformed sequence experienced a significant increase in their beliefs toward experimental physics; however, it only occurred during the second half of the two-course sequence. |
Abstract Type: | Contributed Poster Presentation |
Session Time: | Poster Session II |
Poster Number: | B22 |
Contributed Paper Record: | Contributed Paper Information |
Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
Primary Contact: |
Rachel Henderson Department of Physics & Astronomy, Michigan State University 567 Wilson Rd East Lansing, MI 48824 Phone: 4128481913 |
Co-Author(s) and Co-Presenter(s) |
Kelsey Funkhouser: Department of Physics & Astronomy, Michigan State University Marcos D. Caballero: (1) Department of Physics & Astronomy, Michigan State University (2) CREATE for STEM Institute, Michigan State University (3) Department of Physics & Center for Computing in Science Education, University of Oslo, N-0316 Oslo, Norway |