Adopting AI is a great first step to improve assessments and help educators better evaluate their students' progress while saving time, but schools need to look beyond the time-saving benefits of AI and re-examine assessments as a whole. As the survey shows, educators are grappling with assessment issues that AI won’t fix — and that it could even make worse.
In the words of Amy Reilly, Pearson’s Vice President of Assessment Product: “Integrating a new piece of technology won’t solve underlying problems in your assessment tools.”
Those underlying problems are extensive, the survey shows. For example, only about one-third of respondents strongly agree that they can pinpoint student needs (38%) or personalize instruction based on assessment results (37%). Just 44% say they can measure students’ progress toward specific learning targets.
In other words, educators struggle to understand what students have learned and then tailor instruction . . . which is the whole point of assessment.
AI data analysis won’t do much good if the data analyzed is flawed. Reilly explains, “When we don’t have [assessment] tools that produce valid and reliable results, we just create more noise for educators and take time away from positively affecting student learning.”
The Pearson report also sounds a warning about using AI to generate assessment questions. “Whether you’re using a generative AI tool to create assessment content yourself or using a vendor that has relied on AI, you need humans to review the content before it reaches students,” Reilly says. “You need assessment content that is grade-level appropriate, reflects the rigor of the standards, is free of biases, and is engaging for students.”
Fortunately, our upcoming report points to four other ways school leaders can shore up their assessment tools. It’s easy to think of cutting-edge technology such as AI when imagining the future. But these four fundamentals will ensure much more effective assessment in the months and years ahead.