Related Experiment Video
Updated: Oct 17, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
Spoken propositional idea density, a measure to help second language English speaking students: A multicentre cohort
Andrew M Lunn1, Daniel Matthias Bürkle2, Rebecca Ward1
1Pedagogic Interest Group, School of Pharmacy and Biomedical Sciences, The University of Central Lancashire, Preston, UK.
Purpose:
Idea density has been shown to influence comprehension time for text in various populations. This study aims to explore the influence of spoken idea density on attainment in young, healthy subjects using demographic characteristics.
Methods:
Students watched two online lectures and answered 10 multiple choice questions on them. Students received one more idea dense (MID) and one less idea dense (LID) lecture on two different subjects.
Results:
Seventy-five students completed the study achieving a higher median score after a less idea-dense lecture (LID = 7(3), MID = 6(3), p = 0.04). Artificial neural network models revealed the first language as the main predictor of exam performance. The odds ratio (OR) of obtaining ≥70% after a more idea-dense lecture was six-time higher for the first language versus second language English speakers (OR = 5.963, 95% CI 1.080-32.911, p = 0.041). The odds ratio was not significant when receiving a less dense lecture (OR = 2.298, 95% CI 0.635-8.315, p = 0.205). Second-language speakers benefited from receiving a lower idea density, achieving a 10.8% score increase from high to low density, versus a 3.2% increase obtained by first language speakers.
Conclusions:
The propositional idea density of lectures directly influences students' comprehension, and disproportionately for second language speakers; revealing the possibility of reduced spoken idea density in levelling the attainment differential between first and second language speakers.
More Related Videos
Related Concept Videos
Statistical Significance
Language and Cognition
Density
Odds Ratio
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...

