Part 2 of 7 in the Series: Education in the Cloud.Introduction at: https://wrenchinthegears.com/2017/07/13/smart-cities-social-impact-bonds-public-educations-hostile-takeover-part-ii/
1. Education in the Cloud
Digital Classrooms as Data Factories
What is a “Smart” City?
Learning Ecosystems and the Internet of Things
Blockchain and “The Ledger”
How Austerity Generates Data
Reinventing Education for Impact Investment
2. How did education come
to be all about the data?
No child left behind made accountability a priority.
Under Race to the Top many states adopted Value
Added Measures (VAM) to evaluate teachers and
metrics-based report cards to grade schools.
Classroom instruction is now about improving test
scores via learning analytics.
The Every Student Succeed Act tweaked the formula. Now formative assessments are a priority,
which means testing all the time.
Rather than a single score, growth is valued, which requires even MORE data collection.
The door has opened to measure non-academic education elements now, too (social-emotional).
5. Refined by the ed-tech sector.
Training as
“Lifelong Learning”
Education serves industry.
Device-Dependent
Data-Driven
Workforce-Oriented
Narrowed Options
Image From 2016 IBM Whitepaper on
Personalized Learning
9. Teachers pressured to monitor and enter data.
Limited time for face-to-face interaction with students.
10. Articulab Virtual Peers, Carnegie Mellon
Genie, Reasoning Mind
Device-based education maximizes data collection.
Use of “Intelligent” tutoring systems grows.
11. Teacher training programs reinforce data-driven education.
FUSE Rhode Island
The New Teacher Project
Relay Graduate School of Education
12. The Learning Accelerator = Advocate for Online Blended Learning
Hired Yet Analytics for a “Next Gen Human Capital Initiative”
13. Teachers are targeted for human capital management, too.
Round 1=Get Educators On Board
Competency-Based Education
Micro-Credentials
Badges
Device-Based, Data-Driven
14. Yet Analytics also works with Hewlett Packard on Human Capital Management.
Their Education Data Command Center debuted at 2017 Education World Forum.
HP also promotes use of Open
Education Resources(OER) for
“playlist” education.
Source
15. Online learning is
normalized.
Physical schools and
human teachers are no
longer required.
Acquisition and
demonstration of
employment skills is
prioritized.
Impacts are measured.
Education requires
return on investment.
16. Doing more with less
Austerity = Public-Private Partnerships
Emphasis on “Impact”
“Success” Defined in Terms of Data
Learn Platform is a new Benefit Corporation that
analyzes impact and ROI of ed-tech products.
17. Standards Facilitate Data Collection
Emphasis on detailed standards has enabled the shift to “playlist,” digitized education.
Rather than places for learning in relationship, classrooms are becoming data factories.
Data will be used to 1) assess ed-tech “Returns on Investment” 2) feed predictive analytics on labor and
financial markets 3) “manage” citizens and “education” suppliers through blockchain digital identities.
Common Core State Standards broke education down
into discrete pieces, paving the way for badges and micro-
credentials.
Teachers autonomy has been eroded.
Data is used punitively against schools and teachers.
Student learning has been reduced to data walls and
dashboards.
Not unlike a “Smart” City command-and-control center.
18. Deloitte’s Gov2020 Drivers & Trends report:
“By 2020, more than 80 percent of consumers collect,
track, barter or sell their personal data for savings,
convenience and customization, making information a
currency in the truest sense.” Source
“Personalized” online education extracts
value from students. We need to refuse
their vision of our children’s future.
