Comparison of Written and Spoken Instruction to Foster Coordination between Diagram and Equation in Undergraduate Physics Education

  • Visual–graphical representations are used to visualise information and are therefore key components of learning materials. An important type of convention-based representation in everyday contexts as well as in science, technology, engineering, and math (STEM) disciplines are vector field plots. Based on the cognitive theory of multimedia learning, we aim to optimize an instruction with symbolical-mathematical and visual-graphical representations in undergraduate physics education through spoken instruction combined with dynamic visual cues. For this purpose, we conduct a pre-post study with 38 natural science students who are divided into two groups and instructed via different modalities and with visual cues on the graphical interpretation of vector field plots. Afterward, the students rate their cognitive load. During the computer-based experiment, we record the participants’ eye movements. Our results indicate that students with spoken instruction perform better than students with written instruction. This suggests that the modality effect is also applicable to mathematical-symbolical and convention-based visual-graphical representations. The differences in visual strategies imply that spoken instruction might lead to increased effort in organising and integrating information. The finding of the modality effect with higher performance during spoken instruction could be explained by deeper cognitive processing of the material.

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Metadaten
Verfasser*innenangaben:Verena RufORCiD, Stefan KüchemannORCiD, Jochen KuhnORCiD, Pascal KleinORCiD
URN:urn:nbn:de:hbz:386-kluedo-70375
ISSN:2578-1863
Titel des übergeordneten Werkes (Englisch):Human Behavior and Emerging Technologies
Verlag:Hindawi
Dokumentart:Wissenschaftlicher Artikel
Sprache der Veröffentlichung:Englisch
Datum der Veröffentlichung (online):16.03.2022
Jahr der Erstveröffentlichung:2022
Veröffentlichende Institution:Technische Universität Kaiserslautern
Datum der Publikation (Server):09.12.2022
Ausgabe / Heft:2022
Seitenzahl:13
Quelle:https://doi.org/10.1155/2022/5860936
Fachbereiche / Organisatorische Einheiten:Kaiserslautern - Fachbereich Physik
DDC-Sachgruppen:1 Philosophie und Psychologie / 150 Psychologie
5 Naturwissenschaften und Mathematik / 530 Physik
Sammlungen:Open-Access-Publikationsfonds
Lizenz (Deutsch):Zweitveröffentlichung