Algorithm Visualization and the Elusive Modality Effect

Autor: Albina Zavgorodniaia, Artturi Tilantera, Arto Hellas, Otto Seppälä, Ari Korhonen, Juha Sorva
Přispěvatelé: Lecturer Sorva Juha group, Lecturer Korhonen Ari group, Computer Science Lecturers, Department of Computer Science, Aalto-yliopisto, Aalto University
Rok vydání: 2021
Předmět:
Zdroj: ICER
Popis: The modality effect in multimedia learning suggests that pictures are best accompanied by audio explanations rather than text, but this finding has not been replicated in computing education. We investigate which instructional modality works best as an accompaniment for algorithm visualizations. In a randomized controlled trial, learners were split into three conditions who viewed an instructional video on Dijkstra's algorithm, with diagrams accompanied by audio, text, or both. We find neither a modality effect in favor of the audio condition nor a verbal redundancy effect in favor of using only a single modality rather than both. Taken together with earlier research, our findings suggest that the modality effect is difficult to apply reliably and computing educators should not rush to integrate audio into visualizations in expectation of the effect. We discuss theoretical viewpoints that future research should attend to; these include alternative part-explanations of the modality effect and attention-based models of working memory, among others.
Databáze: OpenAIRE