In 2013, the National Council of Educational Experts urged U.S. states and school districts to move away from a focus on testing primarily for accountability purposes and to build tests that allow teachers to provide more individualized instruction and support to students. requested to move to.
More than a decade since the Gordon Commission on the Future of Assessment in Educationexperts at the American Educational Research Association conference in Philadelphia said that while the technology currently exists to provide more nuanced measurements, states and districts are not yet ready to help teachers use the new tools effectively. They noted that they have yet to develop the training and infrastructure to make it available.
“We're not setting up educators and students for success right now,” says Laverne Evans of the Carnegie Corporation of New York, a charity that supports education programs (separate from the Carnegie Foundation for the Advancement of Education).・Mr. Srinivasan says. teaching), during the AERA Symposium. “Our educators are at a disadvantage when it comes to receiving the professional learning support they need to develop digital literacy and the ability to work with new things. [artificial intelligence] These tools and technologies can be used to not only make the workload less painful, but also to optimize the ability to differentiate and customize learning for young people. ”
Testing tools built on artificial intelligence systems have rapidly expanded to K-12 schools.
James Moore III, director of the National Science Foundation's education directorate, said NSF STEM education grants alone invested $75 million in artificial intelligence-related education projects last year alone.Open-access online assessment of oral language proficiency, etc. Programs in multiple languages and programs that encourage student persistence and collaboration In science.
But E. Wyatt Gordon, vice president and head of evaluation systems at computer adaptive testing company Pearson VUE (Virtual University Enterprises), says that to date, most AI testing tools “basically When learners ask fact-based questions, Gordon says, “We know that's not a good teaching environment. So the challenge is to turn those interactions into effective learning experiences.” said.
This means, for example, that we use programs that not only check for correct answers, but also collect data about the strategies that students use to solve problems, and that students do not have specific misconceptions about concepts or ineffective learning strategies. It means to convey information to the teacher about whether or not.
“The education sector evolves and changes very slowly.”
Some high-profile assessments are already leveraging AI to provide more nuanced information.of 2025 International Student Evaluation ProgramExamples include performance tasks where students can work using an AI-driven chatbot to ensure students have basic background knowledge about the subject matter and track students' decision-making approaches to completing the task. Masu.
“The challenge is that the education sector evolves and changes very slowly,” Srinivasan said. “Already, young people are being educated at a huge disadvantage because progress in measurement and evaluation has lagged in innovation in how they learn in the classroom.”
For example, she noted that the Carnegie Corporation has supported efforts to redesign high schools for the past 20 years. “The design of these new high schools was based on proficiency and competency assessments,” Srinivasan said. ”
In a newly released reportthe National Academy of Education recommends that states and school districts develop formal training systems to help teachers understand how to use different types of assessments and for school leaders and leaders to share best practices. We recommend creating both informal networks.
