Brain data:Scanning, scraping and sculpting the plastic learning brain through neurotechnology

Neurotechnology is an advancing field of research and development with significant implications for education. As 'postdigital' hybrids of biological and informational codes, novel neurotechnologies combine neuroscience insights into the human brain with advanced technical development in brain imaging, brain-computer interfaces, neurofeedback platforms, brain stimulation and other neuroenhancement applications. Merging neurobiological knowledge about human life with computational technologies, neurotechnology exemplifies how postdigital science will play a significant role in societies and education in decades to come. As neurotechnology developments are being extended to education, they present potential for businesses and governments to enact new techniques of 'neurogovernance' by 'scanning' the brain, 'scraping' it for data and then 'sculpting' the brain toward particular capacities. The aim of this article is to critically review neurotechnology developments and implications for education. It examines the purposes to which neurotechnology development is being put in education, interrogating the commercial and governmental objectives associated with it and the neuroscientific concepts and expertise that underpin it. Finally, the article raises significant ethical and governance issues related to neurotechnology development and postdigital science that require concerted attention from education researchers

The Effects of Technology-as-Knowledge on the Economic Performance of Developing Countries: An Econometric Analysis using Annual Publications Data for Botswana, Namibia, and South Africa, 1976-2004

Extant literature indicates that technology, and by implication its underlying knowledge base, determines long-run economic performance. Absent from the literature with respect to developing countries are quantitative assessments of the nexus between technology as knowledge and economic performance. This paper imposes a simple production function on annual pooled observations on Botswana, Namibia, and South Africa over the 1976-2004 period to estimate the marginal impacts of technology as knowledge on economic performance. It finds that capital (k), openness to trade (τ), and even the share of government expenditure of GDP (G) among other factors, influence economic performance. However, the economic performance of countries like Botswana, Namibia, and South Africa depends largely on technology, technological change, and the basic knowledge that forms the foundation for both. For instance, measured as a homogenous “manna from heaven”, technology is the strongest determinant of real per capita income of the three nations. The strength of technology as a determinant of performance depends on the knowledge underpinnings of technology measured as the number of publications (Q, q). Both Q and q are strongly correlated with the countries’ performance. This suggests that the “social capability” and “technological congruence” of these countries are improving, and that developing countries like Botswana, Namibia, and South Africa gain from increased investment in knowledge-building activities including publishing. Obviously there is room for strengthening results, but this analysis has succeeded in producing a testable hypothesis