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Bo Adams

The Future of Big Data and Analytics in K-12 Education - Education Week - 0 views

  • data scientists would then search the waters for patterns in each student's engagement level, moods, use of classroom resources, social habits, language and vocabulary use, attention span, academic performance, and more.
  • would be fed to teachers, parents, and students via AltSchool's digital learning platform and mobile app, which are currently being tested
  • AltSchool's 50-plus engineers, data scientists, and developers are designing tools that could be available to other schools by the 2018-19 school year.
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  • AltSchool is almost certain to provoke a backlash from parents and privacy advocates who see in its plans the potential for an Orwellian surveillance nightmare, as well as potentially unethical experimentation on children.
  • The term "big data" is generally used to describe data sets so large they must be analyzed by computers. Usually, the purpose is to find patterns and connections relating to human behavior and how complex systems function.
  • Analytics generally refers to the process of collecting such data, conducting those analyses, generating corresponding insights, and using that new information to make (what proponents hope will be) smarter decisions.
  • replacing the top-down, slow-moving bureaucratic structures that currently shape public education with a "networked model" in which students, teachers, and schools are connected directly by information and thus capable of learning and adapting more quickly.
  • 'Montessori 2.0': a kind of supercharged version of the progressive, project-based learning often found in elite private schools and privileged enclaves within traditional school systems.
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    Eventually, Ventilla envisions AltSchool technology facilitating an exponential increase in the amount of information collected on students in school, all in service of expanding the hands-on, project-based model of learning in place at the six private school campuses the company currently operates in Silicon Valley and New York City.
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