The Decline of Test Scores: Examining Utah’s Educational Tech Shift
For over ten years, standardized testing data in Utah has depicted a startling trend: after a period of rising reading and math scores, results for 4th and 8th graders from the state’s National Assessment of Educational Progress (NAEP) have shown a consistent downturn. This alarming pivot has sparked concerns among educators, parents, and policymakers regarding the educational environment in Utah and beyond.
The Role of Technology
Neuroscientist and former educator Jared Cooney Horvath points to a pivotal moment in Utah’s educational history. This downturn coincided with the implementation of the Student Assessment of Growth and Excellence (SAGE), Utah’s first computer-adaptive test, which began in 2014. According to Horvath, this shift required robust digital infrastructure in schools—an advancement perhaps aimed at enhancing educational equity but which, paradoxically, may have contributed to declining performance.
“Before 2014, computers were in schools, but they were peripheral,” Horvath noted. With every school mandated to adopt digital testing tools, the educational landscape shifted dramatically. But rather than improving student learning, these digital systems may have negatively impacted cognitive development.
National and Global Trends
Horvath, the author of The Digital Delusion, argues that Utah’s troubling test scores are not an isolated incident but part of a sweeping global trend. He testified before the U.S. Senate Committee on Commerce, Science, and Transportation, stating that today’s learners have, for the first time in modern history, failed to outperform their parents on standardized assessments. This suggests that Generation Z has become “the first generation to be less cognitively capable” than previous generations.
Data from organizations like the Program for International Student Assessment (PISA) aligns with Horvath’s claims, indicating a correlation between increased screen time and declining academic performance. As students spend more time engaged with digital devices, their test scores appear to languish.
The Promises and Pitfalls of EdTech
The rush to integrate educational technology, or EdTech, into classrooms began as early as 2002 with initiatives like Maine’s statewide laptop program, which distributed Apple laptops to thousands of seventh graders. By 2024, U.S. spending on classroom technology soared past $30 billion. The narrative was clear: education was broken, and technology could provide a fix. Schools were encouraged to adopt digital learning tools under the premise that they would cater to different learning styles and foster independent learning.
However, Horvath critiques this narrative, suggesting that it addressed a problem that didn’t truly exist. In the early 2000s, gaps in educational achievement were closing, and test scores were climbing. So why was there a sudden push for digital solutions? According to Horvath, the evidence was often fabricated or exaggerated to justify an influx of technology into classrooms.
The Historic Transfer Problem
A closer examination of EdTech’s evolution reveals longstanding worries about its pedagogical effectiveness. In the 1950s, behaviorist B.F. Skinner introduced “teaching machines,” yet these innovations failed to be widely adopted because educators doubted their value. A fundamental issue remained: while these machines could enhance specific learning experiences, they often did not promote genuine understanding of the subject matter.
“The reason they all quit was the transfer problem,” Horvath elaborated. Students could excel in using these tools but struggled to apply that knowledge when not engaged with the technology. The crux of the matter lies in the effectiveness of learning through new means, and whether these means genuinely contribute to long-term educational outcomes.
AI and Its Implications for Learning
The challenges posed by technology evolve with the times. Today’s students are navigating new realms like artificial intelligence (AI), but there are concerns about AI’s potential to hinder critical thinking. A recent Pew Research Center survey revealed that over half of U.S. teens use AI for schoolwork—often opting for shortcuts rather than engaging deeply with learning materials.
Horvath recognizes that the friction often associated with problem-solving is essential for genuine learning. “The tools experts use to make their lives easier are not the tools children should use to learn how to become experts,” he argues. Mastery of a subject requires grappling with difficulties, something that reliance on AI shortcuts may undermine.
Rethinking Pedagogy in the Digital Age
As schools begin to incorporate AI literacy courses, there is a pressing need to rethink how technology is integrated into education. Horvath asserts that the distinction between curriculum and pedagogy is critical: curriculum encompasses what is taught, while pedagogy focuses on how it is taught. Rather than delivering lessons mainly through screens, educators should emphasize foundational skills, preparing students to use technology effectively as they mature.
Instead of replacing traditional methods with tech-based teaching, the focus should shift to incorporating technology as a supplementary tool. It’s essential to continue teaching core subjects—math, literacy, and numeracy—so that students can become proficient users of technology rather than dependents on it for simple tasks.
The Future of Education
In light of these insights, the educational community faces an urgent challenge: how to balance the incorporation of new technologies without sacrificing the essence of learning. As testing scores show no signs of recovery, this reflection on the role of technology in education must prompt discussions among educators, policymakers, and tech developers about creating a balanced and effective learning environment for future generations.
