Evidence map›Paper›PMID 34925175›Full record

ArticleFrontiers in psychology2021

Impacts of Color Coding on Programming Learning in Multimedia Learning: Moving Toward a Multimodal Methodology.

Yang Liu, Weifeng Ma, Xiang Guo, Xuefen Lin, Chennan Wu, Tianshui Zhu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The Impact of Color Cues on the Learning Performance in Video Lectures.Behavioral sciences (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yang LiuSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China.
Weifeng MaSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China.
Xiang GuoSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China.
Xuefen LinSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China.
Chennan WuSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China.
Tianshui ZhuSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, we tested the effectiveness of color coding on the programming learning of students who were learning from video lectures. Effectiveness was measured using multimodal physiological measures, combining eye tracking and electroencephalography (EEG). Using a between-subjects design, 42 university students were randomly assigned to two video lecture conditions (color-coded vs. grayscale). The participants' eye tracking and EEG signals were recorded while watching the assigned video, and their learning performance was subsequently assessed. The results showed that the color-coded design was more beneficial than the grayscale design, as indicated by smaller pupil diameter, shorter fixation duration, higher EEG theta and alpha band power, lower EEG cognitive load, and better learning performance. The present findings have practical implications for designing slide-based programming learning video lectures; slides should highlight the format of the program code using color coding.

Indexed as

color codingEEGeye-trackingmultimedia learningprogramming learning

Identifiers

PMID34925175
PMCPMC8677832

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.