Conceptualization and Quantitative study of Aesthetic and Affective Perception of Pictures in Physics Education
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ID: 282468
2024
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Abstract
Pictures in physics education go beyond instructional functions and serve
affective roles, such as attracting attention, creating fascination, and
fostering engagement with the depicted content. Recognizing the importance of
these affective functions highlights the need to understand and utilize
aesthetic pictures in a research-based educational environment. Prior research
suggests that aesthetic and affective attractiveness in pictures enhances
enjoyment and engagement with the physics content. This paper offers three main
contributions: Firstly, it conceptualizes and presents research-based criteria
for selecting pictures perceived as aesthetically pleasing, drawing on insights
from psychology and physics education research. Following these criteria,
aesthetic pictures related to a given curricular content can be selected.
Secondly, the paper applies these criteria to selecting pictures showing
geometrical optics. It then delves into an evaluation of students' aesthetic
and affective perception of the selected pictures. A validated instrument
measured these responses, showing strong reliability (aesthetic perception:
$\alpha_C$ = 0.87 [0.85, 0.89]; affective perception: $\alpha_C$ = 0.82 [0.80,
0.85]). Thirdly, it combines decorative and instructional functions in tasks
and compares students' perceptions of aesthetic pictures (AP) and classroom
experiment pictures (CEP) in junior high school ($N$ = 118), using a crossover
design. Results indicated significantly better aesthetic and affective
evaluations for APs, with large effect sizes (AP vs. CEP, aesthetic and
affective perception: $d$ = 1.05 - 1.56 and 0.85 - 1.48, respectively). We
conclude that the here developed and investigated criteria are useful for
selecting aesthetic and affective pictures. This provides a basis for further
leveraging their educational potential to create fascination and engagement in
science education.
| Reference Key |
müller2024conceptualization
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| Authors | Tatjana Zähringer; Raimund Girwidz; Andreas Müller |
| Journal | arXiv |
| Year | 2024 |
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