According to the Common Core web site…
The standards were created to ensure that all students graduate from high school with the skills and knowledge necessary to succeed in college, career, and life, regardless of where they live.
According to the PARCC web site…
the assessments are aligned with the new, more rigorous Common Core State Standards (CCSS), they ensure that every child is on a path to college and career readiness by measuring what students should know at each grade level.
However, PARCC has also issued a disclaimer regarding the assessments admitting that the new and improved tests WILL NOT provide a comprehensive and reliable measure of college readiness as they…
can only provide an estimate of the likelihood that students who earn them have the academic preparation necessary to succeed in entry-level, credit-bearing courses.
PARCC’s disclaimer acknowledging that their Common Core aligned assessment is not a reliable measure of college readiness raises serious doubts regarding the validity of the claim that the Common Core State Standards ensure college readinesss.
So why are so many states and school districts moving full spead ahead with the costly technology upgrades and improvements necessary for the online administration of PARCC’s computer-based assessments?
Perhaps we can find an answer to this question by going back in time to 2011 when the Department of Education amended the Family Educational Rights and Privacy Act or FERPA
The Secretary of Education (Secretary) amends the regulations implementing section 444 of the General Education Provisions Act (GEPA), which is commonly referred to as the Family Educational Rights and Privacy Act (FERPA). These amendments are needed to ensure that the U.S. Department of Education (Department or we) continues to implement FERPA in a way that protects the privacy of education records while allowing for the effective use of data…The use of data is vital to ensuring the best education for our children.
Permitting the expanded “use” of data not only has implications regarding the collection of student data through online assessments but it will also diminish the privacy of student health data as detailed in this 2008 Guidance document …
In most cases, the HIPAA Privacy Rule does not apply to an elementary or secondary school because the school either: (1) is not a HIPAA covered entity or (2) is a HIPAA covered entity but maintains health information only on students in records that are by definition “education records” under FERPA and, therefore, is not subject to the HIPAA Privacy Rule.
If you are wondering just how student data is being used more “effectively”, check out this video by eScholar myTrack…
Shawn Bay, the CEO of eScholar spoke at the Whitehouse’s’ Education Datapalooza back in 2012 and you can view the video of his presentation below. Sean blogged about his experience presenting and reflected on the event and shared his takeaways…
U.S. Secretary of Education Arne Duncan led off the morning with some thought-provoking words about how open education data can be a game changer. I completely agree with him.
Education data must be open and available, with appropriate security, for all education entities: companies, districts, state agencies, nonprofits. This is the only way interoperability can be achieved.
So where does eScholar fit into this? I believe that we are a game changer here. For the past 15 years, we’ve been collecting student data from all sorts of sources: assessments, program, enrollment, attendance, and more…
In 2012 Jonathan Harber, CEO Pearson K-12 technology also presented at White House Datapalooza and you can view his presentation below. Harber also blogged about his experience and the importance of open data.
Now, the power of open data makes the connection directly. Pearson has been partnering with organizations like NASA to tag its open education resources with open tagging schemes and the Common Core academic standards. We are indexing our learning object repositories in the government’s new Learning Registry.
But even more compelling is the fact that data on Benjamin’s academic accomplishments are mashed up with data about the class curriculum and educational resources available via the Internet to deliver a recommendation from NASA directly to Benjamin’s teacher.
Instead of searching for content, the content is searching for Benjamin!
All this talk about the importance and significance of “open data” could that have anything to do with President Obama’s 2013 Executive Order regarding open data.
Openness in government strengthens our democracy, promotes the delivery of efficient and effective services to the public, and contributes to economic growth….and making information resources easy to find, accessible, and useful can fuel entrepreneurship, innovation, and scientific discovery that improves Americans’ lives and contributes significantly to job creation.
Later in 2013, the Department of Education “opened” The ED Data Inventory which includes “Common Core of Data” and this web resource “is designed to help users of education information more easily understand and locate ED data assets”.
While many supporters of the Common Core continue to claim that the efficacy of the Standards is a separate issue and unrelated to growing concerns regarding the misuse of standardized tests, the posting “Using Standards to Make Big Bata Analytics That Work” explains that the Common Core Standards actually provide a means to a data collecting and mining ends via standardized online assessments.
Standards, like the Common Core, make big data analytics work because they support the creation of more rigorous models of student learning and enable larger big data systems…National standards like the Common Core allow analytics systems to make better inferences for detailed sub-groups of students.
The Common Core includes only two assessments which, assuming national adoption, would greatly reduce the number of tests. It is technically easier to link data from separate states if they use the same test or an assessment aligned to the Common Core….
Standards lower the barriers to entry for startups seeking to enter the personalized learning market. National standards reduce the resources necessary to develop big data tools that are usable nationwide.
If each state has its own standards then analytics creators need to develop 50 different tools…The Common Core will usher in the next generation of big data tools and transform classrooms across the country.
The public might gain additional insights and a fuller understanding of the role of National Learning Standards by also reading; “7 Ways Entrepreneurs Could Change the World This Year”
Transforming higher education is so 2013. This year, the innovation battle will be won and lost in the K-12 classroom. That’s because the Common Core Standards, a new national standard of math and language arts education, are set to go into effect during the 2014-2015 school year.
That means schools across the country will, for the first time, be giving students a uniform education and uniform assessments, which Muhammed Chaudhry, CEO of the Silicon Valley Education Foundation, says is a major opportunity for entrepreneurs to get a foot in the door.
“In the past, new tech companies had to create something very specific for each state, and they weren’t able to compete with larger companies,” says Chaudhry. “This will make purchasing power of a standardized product easier.”
Not only will they have an easier time getting into the classroom, but ed tech businesses will also have more to work with. Under the new standards, students will take their assessments online, which, Chaudhry says; means schools are investing more in technology infrastructure and providing one-to-one devices for students.
That opens up a world of opportunity for entrepreneurs with ideas for how to make the classroom experience better. Chaudhry expects to see a fleet of new applications that assess, in real time, a student’s understanding of subject matter and adapt the lesson on the basis of the student’s comprehension level.
It’s a trend called adaptive learning. Apps that give teachers real-time feedback on student understanding will also become the norm, Chaudhry says, solving a major flaw in our education system.
Coincidentally, last November voters in New York approved the “New York Bonds for School Technology Act, Proposal 3” which provides additional school aid for projects related to “Purchasing educational technology equipment and facilities, such as interactive whiteboards, computer servers, desktop and laptop computers, tablets and high-speed broadband or wireless internet.”
Not just NY State that is concerned about the digital connectivity of schools in the United States. Future Ready Schools is a recent initiative by the US Department of Education asking school Superintendents to take the Future Ready District Pledge.
The Future Ready District Pledge is designed to set out a roadmap to achieve that success and to commit districts to move as quickly as possible towards our shared vision of preparing students for success in college, careers and citizenship…
However, in order for these resources to leverage their maximum impact on student learning, schools and districts must develop the human capacity, digital materials, and device access to use the new bandwidth wisely and effectively.
The Future Ready District Pledge establishes a framework for achieving those goals and will be followed by providing district leaders with additional implementation guidance, online resources, and other support they need to transition to effective digital learning and achieve tangible outcomes for the students they serve…
Future Ready districts align, curate, create, and consistently improve digital materials and apps used in the support of learning. Future Ready districts use carefully selected high quality digital content that is aligned to college and career ready standards as an essential part of daily teaching and learning.
The US Governments Office of Educational Technology has posted several research reports online including; “Expanding Evidence: Approaches for Measuring Learning in a Digital World” that focus on potential educational and entrepreneurial opportunities associated with Common Core, digital learning, big data, and data mining.
The U.S. education system invests heavily in tests of student achievement that are used to hold districts, schools, and, in some cases, individual teachers accountable for whether students meet state proficiency standards.
All the states have implemented large-scale testing systems for this purpose, and technology will become part of most states’ assessment systems within the next few years as the computer-based Next Generation Assessments connected to the Common Core State Standards (CCSS) go into effect…
As discussed, one advantage of digital learning systems is that they can collect very large amounts of data (big data) from many users quickly. As a result, they permit the use of multivariate analytic approaches (analyses of more than one statistical variable at a time) early in the life cycle of an innovation.
But big data requires new forms of modeling for data that are highly interdependent (Dai 2011). Accordingly, the emerging field of educational data mining is being combined with learning analytics to apply sophisticated statistical models and machine learning techniques from such fields as finance and marketing (U.S. Department of Education 2012a).
State and district student data systems have improved greatly over the past decade in ways that permit examining an individual student’s educational experiences and achievement over time, even if the student changes schools or school districts.
For example, an increasing number of states now assign student identification numbers that stay with the student anywhere in the state, and state data systems typically contain more information on a student’s background (that is, ethnicity, whether eligible for subsidized meals, English proficiency, disability status, date of birth, gender) as well as grade level, school attended, and state achievement test scores.
Districts are also creating student data systems that include such variables as attendance, performance on district-mandated tests and benchmark exams, courses taken, grades, and teachers.
These improved data systems and the new data they house open up opportunities for schools and districts to partner with community and government agencies from other sectors to create linked datasets with more kinds of information about the circumstances of students’ lives.
Combining datasets from different agencies permits analyzing information on students’ academic achievement, attendance, and other indicators of school success with information on their involvement in social services, the juvenile justice system, the foster care system, and youth development programming aimed at supporting students’ social and emotional learning.
To their credit, the authors also raise important questions regarding the validity and reliability of any achievement data that is obtained from students while they are learning and testing in an artificial digital environment.
When a resource is intended for use as part of formal education, however, educators and developers must be concerned with more than what learners do when using the product.
They must also consider whether the learning demonstrated inside the product can be also observed in learners’ actions outside the product—for example, in an independent performance assessment or in performing some new task requiring the same understanding or skill.
This is necessary because while a student may demonstrate what appears to be understanding of fractions in a digital game, the student may not necessarily demonstrate that understanding in another situation. The ability to transfer what one has learned is a challenge…
Unlike conventional assessments, embedded assessments often provide students with feedback. This is advantageous because students can learn from the feedback, but it means that the students are learning about a concept or how to execute a skill at the same time the system is attempting to gauge their competence in that knowledge or skill.
Shute, Hansen, and Almond (2008) found that adding feedback within a system assessing high school students’ ability to work with geometric sequences did not diminish the system’s ability to assess student competence. More research of this nature is needed.
Selling software solutions is not the same as solving societal problems. Why spend money and commit resources to actually fixing socioeconomic problems and supporting distressed communities and disadvantaged students, when you and your dollar driven, I mean data-driven reformers can actually make money by selling data collection systems to quantify the educational impact of poverty?
Why stop with data collection when even more profits can be earned by letting your friends “mine” this data in order to provide personalized learning and software solutions to “fix” and address the academic and social manifestations of poverty in our classrooms, but not a penny of RTTT funds devoted to ameliorating the societal problem itself?
Expecting to improve student achievement by reducing instructional time in order to increase testing of students just so we can measure the academic impact and consequences of poverty makes as much sense as a doctor insisting his obese patients cancel their membership at the local health club for the entire month in order to make daily office visits to get their weight, cholesterol level, and blood pressure checked.
The Common Core ELA Standards emphasize close reading and challenge students to draw conclusions and make inferences directly from text while they try to determine, “what the author is up to?”
While I have previously expressed concern regarding the efficacy of the Common Core Standards, I do strongly believe that more people should give some serious thought to what exactly the Big Data enthusiasts and data miners are up to?