# When a Teacher Ditched Screens, Class Got Harder. That May Be Why It Worked.
Dylan Kane, a seventh-grade math teacher, made a deliberate choice to eliminate educational technology from his classroom. What started as an experiment has become part of a broader reckoning among educators about how screens and digital tools affect student learning.
Kane's decision to go completely screen-free in math class reflects growing skepticism about the role of ed-tech in schools. This shift matters because schools across the United States have invested billions in educational software, tablets, and learning management systems over the past decade. The assumption has been that more technology equals better learning. Kane's classroom experience suggests the reality is more complicated.
The immediate effect was noticeable. Without automated grading systems, adaptive learning platforms, or digital worksheets, Kane's workload increased. Students could not passively scroll through pre-made lessons or let algorithms personalize content for them. Teachers and students both had to work harder. This increased difficulty appears to have triggered deeper engagement.
When students cannot rely on instant digital feedback or curated content streams, they must confront actual mathematical thinking. They ask more questions. They struggle more visibly, which means teachers see exactly where misunderstanding happens. Kane can adjust instruction in real time rather than waiting for data dashboards to report performance metrics. Peer interaction increases when students must talk through problems without the option of consulting an app.
The research on screens in classrooms presents a mixed picture. Meta-analyses show that digital tools provide no consistent learning advantage over traditional instruction, and in some cases correlate with worse outcomes. Distractions matter. A study by the University of Chicago found that students using laptops in class performed worse on material presented during laptop use. At the same time, some high-quality educational software does improve outcomes in specific contexts, particularly for students with learning disabilities or in under-resourced schools lacking qualified tutors.
What Kane's experiment highlights is the difference between technology as a tool serving clear pedagogical goals and technology as a default setting. Many schools adopted ed-tech during the pandemic and never reconsidered whether it matched their actual instructional needs. Vendors promote "personalized learning" through algorithms, but personalization built by a knowledgeable teacher watching individual students may outperform algorithmic personalization.
The screening of difficulty also matters. When learning feels easy, students often mistake fluency for mastery. Productive struggle, the cognitive science term, means wrestling with problems at the edge of current understanding. That struggle is where real learning happens. Digital tools often eliminate struggle by scaffolding so heavily that students follow predetermined pathways rather than building flexible problem-solving approaches.
This does not mean all ed-tech should disappear. Calculators serve math education well. Digital simulations let chemistry students conduct experiments too dangerous or expensive to run in person. Video allows students to revisit explanations. The question is not whether technology belongs in schools. The question is whether technology serves students or merely entertains them while appearing productive.
Kane's classroom represents a data point in a larger conversation. More educators and policymakers are questioning the ed-tech expansion of recent years. Some districts are scaling back tablet programs. Teachers report that removing technology freed up time for conversation, debate, and actual human interaction. That shift back toward deliberate limitation of screens may ultimately show what screens should have been all along: useful when purposeful, harmful when reflexive.