Color Coding of Circuit Quantities in Introductory Circuit Analysis Instruction
Bibliographic Data
| ID | 20296307 |
|---|---|
| Authors | Jana Reisslein (School of Electrical, Computer, and Energy Eng., Arizona State Univ., Tempe), Amy M Johnson (0009-0003-8865-3523, Arizona State University), Martin Reisslein (0000-0003-1606-233X, Arizona State University) |
| Year | 2015 |
| Volume | 58 |
| Issue | 1 |
| Pages | 7-14 |
| Publication date | 2015-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Education (JOURNAL) |
| Journal identifiers | ISSN: 0018-9359 • E-ISSN: 1557-9638 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/te.2014.2312674 |
| OpenAlex | W2082688358 |
| Language | EN |
| Citations received | 4 |
| References cited | 61 |
Learning the analysis of electrical circuits represented by circuit diagrams is often challenging for novice students. An open research question in electrical circuit analysis instruction is whether color coding of the mathematical symbols (variables) that denote electrical quantities can improve circuit analysis learning. The present study compared two groups of high school students undergoing their first introductory learning of electrical circuit analysis. One group learned with circuit variables in black font. The other group learned with colored circuit variables, with blue font indicating variables related to voltage, red font indicating those related to current, and black font indicating those related to resistance. The color group achieved significantly higher post-test scores, gave higher ratings for liking the instruction and finding it helpful, and had lower ratings of cognitive load than the black-font group. These results indicate that color coding of the notations for quantities in electrical circuit diagrams aids the circuit analysis learning of novice students
Circuit extraction · Coding (social sciences) · Electrical engineering · Equivalent circuit · Mathematics education · Network analysis · Statistics · Voltage · Color perception and design · Computer Science · Engineering · Mathematics · Psychology · Science Education and Pedagogy · Visual and Cognitive Learning Processes
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2016 - 2025 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |