Recently, the OECD released the results for PISA 2015, an international assessment that measures the skills of 15-year-old students in applying their knowledge of science, reading, and mathematics to real-life problems. There is a sense of urgency to ensure that students have solid skills amidst modest economic growth and long-term demographic decline in Europe and Central Asia (ECA).
The inefficiency and inequity caused by age differences in testing is not news. On the contrary, it is a well-documented fact. The proposed solution to this problem is to age-adjust test scores. But the truth is, we are nowhere near to implementing such a solution.
Depending on to whom you listen, automation, robotics, and artificial intelligence (AI) will either solve all our problems or end the human race. Sometime in the near future, machine intelligence is predicted to surpass human intelligence, a point in time known as “the singularity.” Whether the rise of the machines is an existential threat to mankind or not, I believe that there is a more mundane issue: robots are currently being used to automate production.
经济学家理查德·弗里曼(Richard Freeman)主张，机器人可以替代工人，甚至能替代高技能的专业人士。麻省理工学院(MIT)教授埃里克·布伦乔尔森(Erik Brynjolfsson)和安德鲁·麦克菲(Andrew McAfee)也指出，随着电脑变得更加强大，企业对某些工种的需求将会减少。
Intensive “bootcamp” training programs that develop coding and other computer science skills and directly connect students with jobs are becoming increasingly popular. In the U.S, there are already over 90 bootcamps—and they are taking root in Latin America too, helping to close the region’s skills and gender gaps.
On her daily walk down the muddy road that connects her home with school, Beatriz would sing a cumbia and dream of becoming a professional dancer. However, she would soon find out that her aspirations were short lived. At the age of 14, Beatriz got pregnant and never went back to school. In the six years following her pregnancy, she struggled with an unstable and low-paid job, cleaning rich houses in Guatemala City. By the age of 20, without minimum skills and a secure job, Beatriz had little control over her life and a murky picture of her future loomed.
En su caminata diaria por el camino lleno de lodo que conecta su casa con la escuela, Beatriz canta una cumbia y sueña con ser una bailarina profesional. Sin embargo, pronto descubrirá que sus aspiraciones durarán poco. A los 14 años, Beatriz quedará embarazada y nunca más volverá a la escuela. En los seis años posteriores a su embarazo, tendrá que lidiar con un trabajo inestable y mal pagado, limpiando casas de personas ricas en la ciudad de Guatemala. A los 20 años, sin contar con las habilidades mínimas y un trabajo seguro, Beatriz tendrá poco control de su vida y su futuro no será muy halagüeño.
There is no denying that governments around the world are expanding investments in education technology, from inputs that students use directly (like Kenya’s project to put tablets in schools) to digital resources to improve the education system (like Rio de Janeiro’s school management system). As public and private school systems continue to integrate technology into their classrooms, remember that education technology comes with risks.