We’ve written through the years about Common Core and have been concerned about the data mining allowed to occur now that states use common assessments. The data mining is not just centered on educational information. This educational reform also requires personal information on students and their families. This is to create a managed workforce based on student data gathered from educational facilities and with the expansion of FERPA allowing information to flow freely, this information will be supplied to research firms, contractors and other interested parties.
Seattle Education reports on a grant received by school districts to gather this data:
One of the deals that we made with the devil when it comes to accepting Race to the Top dollars is the relinquishing of our children’s information.
Gates and others have begun to collect information about our children from New York to LA and it is about to happen in Seattle thanks to the efforts of the Road Map project, et al, falling all over themselves to receive a pittance of educational funding, $40 M to be split between 7 districts in our state. That’s $5.7M if it were to be divided equally.
To put that into perspective, West Seattle High School’s budget for this year is a little over $6M and that does not include building upkeep or other building costs including utilities.
The money will not go into established programs or to help with our budget crunch which happens to be a $32 M shortfall in Seattle, but is to go to “assessing” students starting in pre-school. Assessments basically mean testing on a long-term basis. This is not sustainable but oh well, there is some pie in the sky reasoning about receiving yet another largesse from Bill Gates, and maybe someday we would be able to continue to pay for everything that we have promised to deliver forever.
Per a previous post, A Race to the Top Winner. Really?, the following is the information that people want culled from our students’ “data”.
Road Map On-Track Indicators
The following is a list of the Road Map Project on-track indicators. These are reported annually against specific targets;
% of children ready to succeed in school by kindergarten
% of students who are proficient in:
3rd grade reading
4th grade math
5th grade science
6th grade reading
7th grade math
8th grade science
% of students triggering Early Warning Indicator 1*
% of students triggering Early Warning Indicator 2*
% of students who graduate high school on time
% of graduating high school students meeting minimum requirements to apply to a Washington state 4-year college
% of students at community and technical colleges enrolling in pre-college coursework
% of students who enroll in postsecondary education by age 24
% of students continuing past the first year of postsecondary
% students who earn a post-secondary credential by age 24
* Early warning indicators are for 6th and 9th grade students. EW1: Six or more absences and one or more course failure(s). EW2: One or more suspension(s) or expulsion(s)
Other Indicators to be Reported
The following is a list of the Road Map Project contributing indicators. These are reported annually or whenever possible, but do not have specific targets. These contributing indicators combined with the on-track indicators make up the full list of Road map Project indicators.
% of children born weighing less than 5.5 pounds
% of eligible children enrolled in select formal early learning programs
% of licensed childcare centers meeting quality criteria
% of families reading to their children daily
% of children meeting age-level expectations at the end of preschool
% of children enrolled in full-day kindergarten
% of students taking algebra by the 8th grade
% of students passing the exams required for high school graduation
% of English language learning students making progress in learning English
% of students taking one or more Advanced Placement or International Baccalaureate courses
% of students absent 20 or more days per year
% of students who make a non-promotional school change
% of students motivated and engaged to succeed in school
% of students attending schools with low state achievement index ratings
% of females age 15-17 giving birth
% of 8th graders reporting select risk factors on the Healthy Youth Survey
% of students exhibiting 21st century skills
% of students who graduate high school by age 21
% of high school graduates completing a formal career and technical education program
% of eligible students who complete the College Bound application by the end of 8th grade
% of graduating College Bound students who have completed the FAFSA
% of students who directly enroll in postsecondary education
% of students who did not complete high school on time who achieve a postsecondary credential
% of students employed within 1 and 5 years of completing or leaving postsecondary education, including wage
It’s not theory anymore. It will be coming to your school district in the future. Your superintendent may declare he/she doesn’t compile this type of data, but you can see this is an important component of common core. Not only do we need to compare student test scores, we need to compare their birthweight, if their parents read to them, their level of motivation, etc.
Stephanie Simon writing in Reuters K-12 student database jazzes tech startups, spooks parents has uncovered data mining on children and has documented where it goes:
(Reuters) – An education technology conference this week in Austin, Texas, will clang with bells and whistles as startups eagerly show off their latest wares.
But the most influential new product may be the least flashy: a $100 million database built to chart the academic paths of public school students from kindergarten through high school.
In operation just three months, the database already holds files on millions of children identified by name, address and sometimes social security number. Learning disabilities are documented, test scores recorded, attendance noted. In some cases, the database tracks student hobbies, career goals, attitudes toward school – even homework completion.
Local education officials retain legal control over their students’ information. But federal law allows them to share files in their portion of the database with private companies selling educational products and services.
Entrepreneurs can’t wait.
“This is going to be a huge win for us,” said Jeffrey Olen, a product manager at CompassLearning, which sells education software.
CompassLearning will join two dozen technology companies at this week’s SXSWedu conference in demonstrating how they might mine the database to create custom products – educational games for students, lesson plans for teachers, progress reports for principals.
The database is a joint project of the Bill & Melinda Gates Foundation, which provided most of the funding, the Carnegie Corporation of New York and school officials from several states. Amplify Education, a division of Rupert Murdoch’s News Corp, built the infrastructure over the past 18 months. When it was ready, the Gates Foundation turned the database over to a newly created nonprofit, inBloom Inc, which will run it.
States and school districts can choose whether they want to input their student records into the system; the service is free for now, though inBloom officials say they will likely start to charge fees in 2015. So far, seven states – Colorado, Delaware, Georgia, Illinois, Kentucky, North Carolina, and Massachusetts – have committed to enter data from select school districts. Louisiana and New York will be entering nearly all student records statewide.
“We look at personalized learning as the next big leap forward in education,” said Brandon Williams, a director at the Illinois State Board of Education.
Read more here.
One should shudder to read the statement from Mr. Williams from the IL State Board of Education. Remember the Illinois Data Set that has been waiting to be rolled out with data sets pertaining to student blood test results, eye color, voting status? Here’s the plan to keep students on the right track: a national based GPS system for your student so he/she will never get lost along life’s way.
Like a car navigation system, the learning management systems of the future will know the current location of each learner and be able to plot multiple, individualized paths to the Common Core and other academic goals. Students will be able to select preferences of modality of instruction, language,and time. And, like a car navigation system, even if they decide to take a detour, the system will always know where they are, where they want to go, and multiple paths to get there. (pg 8 of 126)