Higher-achieving children are better at estimating the number of books at home: Evidence and implications.

The number of books at home is commonly used as a proxy for socioeconomic status in educational studies. While both parents' and students' reports of the number of books at home are relatively strong predictors of student achievement, they often disagree with each other. When interpreting findings of analyses that measure socioeconomic status using books at home, it is important to understand how findings may be biased by the imperfect reliability of the data. For example, it was recently suggested that especially low-achieving students tend to underestimate the number of books at home, so that use of such data would lead researchers to overestimate the association between books at home and achievement. Here we take a closer look at how students' and parents' reports of the number of books at home relate to literacy among fourth grade students, by analyzing data from more than 250,000 students in 47 countries participating in 2011 PIRLS. Contrary to prior claims, we find more downward bias in estimates of books at home among high-achieving students than among low-achieving students, but unsystematic errors appear to be larger among low-achieving students. This holds within almost every country. It also holds between countries, that is, errors in estimates of books at home are larger in low-achieving countries. This has implications for studies of the association between books at home and achievement: the strength of the association will generally be underestimated, and this problem is exacerbated in low-achieving countries and among low-achieving students.

Proactive cognitive control, mathematical cognition and functional activity in the frontal and parietal cortex in primary school children: An fNIRS study.

Understanding how children acquire mathematical abilities is fundamental to planning mathematical schooling. This study focuses on the relationships between mathematical cognition, cognition in general and neural foundation in 8 to 9-year-old children. We used additive mathematics tests, cognitive tests determining the tendency for proactive and reactive problem solving and functional near-infrared spectroscopy (fNIRS) for functional brain imaging. The ability to engage in proactive control had a stronger association with mathematical performance than other cognitive abilities, such as processing speed, sustained attention and pattern recognition. The fNIRS method identified differences between proactive and reactive control, i.e., the more proactive the children were, the greater the increase in oxygenated hemoglobin in the left lateral prefrontal cortex during reactive beneficiary situations. During a text-based task involving additive reasoning, increased activity in the dorsal medial prefrontal cortex was detected compared to a similar task with supportive spatial-geometric information.

Cultural Variation in the Effectiveness of Feedback on Students' Mistakes.

One of the many things teachers do is to give feedback on their students' work. Feedback pointing out mistakes may be a key to learning, but it may also backfire. We hypothesized that feedback based on students' mistakes may have more positive effects in cultures where teachers have greater authority over students, which we assume to be cultures that are high on power distance and religiosity. To test this hypothesis we analyzed data from 49 countries taking part in the 2015 wave of the TIMSS assessment, in which students in the 4th and 8th grades were asked whether their teachers in mathematics and science told them how to do better when they had made a mistake. For each country we could then estimate the association between the reported use of mistake-based feedback and student achievement. Consistent with our hypothesis, the estimated effect of mistake-based feedback was positive only in certain countries, and these countries tended to be high on power distance and religiosity. These results highlight the importance of cultural values in educational practice.

Behavior and neuroimaging at baseline predict individual response to combined mathematical and working memory training in children.

Mathematical performance is highly correlated with several general cognitive abilities, including working memory (WM) capacity. Here we investigated the effect of numerical training using a number-line (NLT), WM training (WMT), or the combination of the two on a composite score of mathematical ability. The aim was to investigate if the combination contributed to the outcome, and determine if baseline performance or neuroimaging predict the magnitude of improvement. We randomly assigned 308, 6-year-old children to WMT, NLT, WMT+NLT or a control intervention. Overall, there was a significant effect of NLT but not WMT. The WMT+NLT was the only group that improved significantly more than the controls, although the interaction NLTxWM was non-significant. Higher WM and maths performance predicted larger benefits for WMT and NLT, respectively. Neuroimaging at baseline also contributed significant information about training gain. Different individuals showed as much as a three-fold difference in their responses to the same intervention. These results show that the impact of an intervention is highly dependent on individual characteristics of the child. If differences in responses could be used to optimize the intervention for each child, future interventions could be substantially more effective.