Watching videos of a drawing hand improves students' understanding of the normal probability distribution

© 2024. The Author(s)..

Understanding normal probability distributions is a crucial objective in mathematics and statistics education. Drawing upon cognitive psychology research, this study explores the use of drawings and visualizations as effective scaffolds to enhance students' comprehension. Although much research has documented the helpfulness of drawing as a research tool to reveal students' knowledge states, its direct utility in advancing higher-order cognitive processes remains understudied. In Study 1, qualitative methods were utilized to identify common misunderstandings among students regarding canonical depictions of the normal probability distribution. Building on these insights, Study 2 experimentally compared three instructional videos (static slides, dynamic drawing, and dynamic drawings done by a visible hand). The hand drawing video led to better learning than the other versions. Study 3 examined whether the benefits from observing a hand drawing could be reproduced by a dynamic cursor moving around otherwise static slides (without the presence of a hand). Results showed no significant learning difference between observing a hand drawing and a moving cursor, both outperforming a control. This research links the cognitive process of drawing with its educational role and provides insights into its potential to enhance memory, cognition, and inform instructional methods.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Memory & cognition - (2024) vom: 20. Feb.

Sprache:

Englisch

Beteiligte Personen:

Zhang, Icy Yunyi [VerfasserIn]
Guo, Xiaohan Hanna [VerfasserIn]
Son, Ji Y [VerfasserIn]
Blank, Idan A [VerfasserIn]
Stigler, James W [VerfasserIn]

Links:

Volltext

Themen:

Drawing
Dynamic representation
Embodied cognition
Journal Article
Multimedia learning
Statistics instruction

Anmerkungen:

Date Revised 20.02.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.3758/s13421-024-01526-7

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368666778