The National Forum on Education Statistics in the US has created a guide to elementary and secondary virtual education data. In the US, the term “virtual education” includes, but is not limited to, digital learning, distributed learning, open learning, online learning, computer-based learning, distance learning, blended learning, and other similar terms. In the document, a Virtual Education Working Group provides recommendations for collecting accurate, comparable, and useful data about virtual education. The guide also provides real-world examples and common practices implemented by state departments, local districts, and schools to modify their data systems and add elements that better reflect the needs unique to virtual education.
The guide was developed to assist state and local education agencies and other education stakeholders, such as policymakers and researchers, as they
- consider the impact of virtual education on established data elements and methods of data collection; and
- address the scope of changes, the rapid pace of new technology development, and the proliferation of resources in virtual education.
Source: Forum Guide to Elementary/Secondary Virtual Education Data (2016), National Forum on Education Statistics.
A new report from PISA looks at how education systems and schools are integrating technology into learning experiences, and with what results.
The findings, taken from the 2012 OECD Programme for International Student Assessment (PISA), show that young people in general have very high levels of access to computers. A total of 96% of 15-year-olds in the OECD countries/economies reported that they had a computer at home, and 72% reported computer access at school.
But has accessibility made a difference to learning outcomes? The findings of this report indicate that pupils who use computers very frequently at school do a lot worse in most learning outcomes; that pupils in countries/economies that have invested heavily in technology showed no appreciable improvements in reading, maths, or science achievement; and that in places where it is common for pupils to use the internet at school for homework, pupils’ performance in reading declined between 2000 and 2012. However, pupils who used computers “moderately” at school tended to have somewhat better learning outcomes than those who used them rarely.
The authors also explore the “digital divide.” They say that as the gap in access to digital media and resources closes, research has started to focus on what people do with it, and this still depends on factors such as reading skills and social support. The report found that in general disadvantaged pupils preferred chat over email. Also, while in most countries/economies there were no differences related to socio-economic status in the use of video games, the influence of socio-economic status was strong when it came to reading news or obtaining practical information from the internet.
Source: Students, Computers and Learning: Making the Connection (2015), OECD.
A paper in the Oxford Review of Education examines the link between children’s home computer use and their academic performance in reading and maths. The study uses data from the nine-year-old cohort of the Growing Up in Ireland survey and a multiple regression model to estimate the effect of home computer use on reading and maths test scores. It finds that computer use is associated with increased scores. This result holds after taking into account other factors that determine school performance, and there is no significant difference in effect for the amount of use.
The study also looks at the effects of different types of computer use. Surfing the internet for fun, doing projects for school, and emailing are associated with higher reading and maths test scores, and children who use the computer unsupervised tend to have higher scores in maths, but instant messaging and downloading music or watching films are negatively associated with test scores. However, while these results indicate significant association with academic performance, the study was not able to establish a definitive direction of causation.
Source: Home computer use and academic performance of nine-year-olds (2012), Oxford Review of Education, 38(5)