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Laura H. Chapman: What You Need to Know about Data Mining of Students

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A regular commenter on the blog, Laura H. Chapman, shares her research on data mining:

 

Policies on data mining? “The future, like everything else, is no longer quite what it used to be.” Paul Valéry, poet.

 

It is no surprise that the Gates funded Teacher-Student Data Link Project started in 2005 is going full steam ahead. By 2011 his project said the link between teacher and student data would serve eight purposes:

 

1. Determine which teachers help students become college-ready and successful,

2. Determine characteristics of effective educators,

3. Identify programs that prepare highly qualified and effective teachers,

4. Assess the value of non-traditional teacher preparation programs,

5. Evaluate professional development programs,

6. Determine variables that help or hinder student learning,

7. Plan effective assistance for teachers early in their career, and

8. Inform policy makers of best value practices, including compensation.

 

The system is intended to ensure all courses are based on standards, and all responsibilities for learning are assigned to one or more “teachers of record” in charge of a student or class so that a record is generated whenever a “teacher of record” has a specific proportion of responsibility for a student’s learning activities.

 

These activities must be defined by performance measures for a particular standard, by subject, and grade level.

 

The TSDL system requires period-by-period tracking of teachers and students every day; including “tests, quizzes, projects, homework, classroom participation, or other forms of day-to-day assessments and progress measures.” Ultimately, the system will keep current and longitudinal data on the performance of teachers and individual students, as well schools, districts, states, and educators ranging from principals to higher education faculty.

 

This data will then be used to determine the “best value” investments in education, taking into account as many demographic factors as possible, including….health records for preschoolers. but the cradle is next, and it is part of USDE’s technology plan.

 

Since 2006, the USDE has also invested over $700 million in the Statewide Longitudinal Data Systems (SLDS) to help states “efficiently and accurately manage, analyze, and use education data, including individual student records”…and make “data-driven decisions to improve student learning, as well as facilitate research to increase student achievement and close achievement gaps.” The newest upgrade of the concpt is for these state-wide systems to become multi-state…and a national system. This goes WAY, WAy beyond (and may pre-empt) routine data-gathering by the National Bureau of Education Statistics.

 

It is not widely known that in 2009, USDE modified the Family Educational Rights and Privacy Act so that student data—test scores, health records, learning issues, disciplinary reports—can be used for education studies without parental consent (The Family Educational Rights and Privacy Act, 20 U.S.C. §1232g). Moreover, a 2012 issue brief from USDE outlined a program of data mining and learning analytics in partnership with commercial companies.

 

The envisioned data- mining program includes an automated, instant access, user-friendly “recommendation system” for teachers that links students’ test scores and their learning profiles to preferred instructional actions and resources. Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. Retrieved from http://www.ed.gov/edblogs/technology/files/2012/03/edm-la-brief.pdf p. 29).

 

USDE is also pressing forward a “radical and rapid” transformation of public education. The new system is marketed and funded as “personalized, competency-based learning” 24/365 from multiple sources. It is intended to dismantle place-based schools, seat time, grade levels, subject-specific curricula, traditional concepts about “teachers” and diplomas. Multiple certifications with flower along with an abundace of badges earne for completing learning paths and play-lists of learning options, awarded by profit and non-profit “learning agents.” The role of “teacher” is envioned as a relic, along with the institution of public schools. See USDE, Office of Educational Technology, Transforming American Education: Learning Powered by Technology, Washington, D.C., 2010. http://tech.ed.gov/wp-content/uploads/2013/10/netp2010.pdf/////////

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