Computerized Adaptive Testing (CAT), the Future of K-12 Assessments

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online testing and education assessment

 Are states prepared?

Computerized Adaptive Testing (CAT) has been in the news for quite some time as a technology being adopted at the state, and district level to improve the academic assessment performance for K-12 students. Legislation such as NCLB, and a push for a common-core standard have put pressure on many states to find solutions to improve performance and accountability in the classroom. For many state agencies the solution is CAT testing. But are states prepared for this innovation?

In mid-November Governor Malloy of Connecticut appropriated $14 million dollars for the use of CAT testing in Connecticut K-12 schools. This funding will be used to administer CAT end of year tests in grades 3 through 8 and 11. The CAT tests will be aligned to Smarter Balanced Assessments standards used by several other state education agencies across the United States.

Although Connecticut’s commitment to CAT testing will help improve the education performance of Connecticut’s students, many are still concerned about the state’s shortfall in the amount of money being appropriated with computer and bandwidth upgrades. These upgrades are paramount for a successful adoption of CAT testing.  According to WTNH Hartford, the state was only able to distribute $10 million out of the $24 million appropriated for technology upgrades in schools. This poses a central issue, will CAT be implemented successfully?

CAT testing is the innovative technology our country needs to successfully improve our K-12 education. Connecticut’s plan for CAT testing is a great example of what many states will have to deal with very shortly if funding is appropriated for CAT testing.  For many states, significant state-wide upgrades on technology are inevitable for CAT testing to be successfully implemented.

It has already been apparent in many states currently using CAT testing that they are seeing improved performance. What is still not apparent is how CAT testing will be implemented successfully in states where significant technology upgrades are still needed.

Link to WTNH article:

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Nathan Thompson, PhD

Nathan Thompson earned his PhD in Psychometrics from the University of Minnesota, with a focus on computerized adaptive testing. His undergraduate degree was from Luther College with a triple major of Mathematics, Psychology, and Latin. He is primarily interested in the use of AI and software automation to augment and replace the work done by psychometricians, which has provided extensive experience in software design and programming. Dr. Thompson has published over 100 journal articles and conference presentations, but his favorite remains

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