Technology and AI in Education
For more than a decade, schools operated under a relatively simple assumption: more technology would help solve persistent learning challenges.
Districts across the country have expanded access to educational technology (EdTech) with a clear goal: improve student outcomes by making learning more personalized, flexible, and data-driven. Adapt with the times, right?
A recent article from EdWeek Market Brief highlights how the Los Angeles Unified School District is reviewing its educational technology contracts as part of a broader effort to reduce screen exposure and examine how digital tools fit into learning moving forward.
Schools invested heavily in adaptive learning platforms, online assignments, digital assessments, and AI-supported instructional tools. Teachers got quicker visibility into student performance. Students gained additional practice opportunities and more individualized support pathways. District leaders hoped technology could help address persistent achievement gaps, especially in mathematics.
In some ways, those investments delivered.
But a growing number of educators are asking a difficult question: Has education crossed the line from using technology to depending on it?
That conversation has accelerated rapidly in 2026, and some school systems are beginning to reassess that approach.
Educators have been navigating these tensions for years, but now things are starting to shift.
The Limits of a Screen-Heavy Classroom
Technology expanded rapidly in schools because it addressed real challenges. Teachers needed ways to effectively differentiate instruction. Schools needed systems to support students performing at different levels. Administrators wanted better insight into learning progress.
In math classrooms specifically, educational technology opened opportunities for immediate feedback and more targeted practice.Â
But many teachers also noticed limitations alongside those benefits. Students could complete assignments quickly without fully processing concepts. Some learners developed habits that favored answer retrieval instead of true reasoning.
Generative AI has accelerated these concerns. Students can now enter assignment questions into AI systems and receive completed solutions within seconds.Â
At this point, technology overuse is causing backlash. Teachers increasingly report that students struggle to sustain focus through long stretches of screen-based learning. Some students move rapidly through assignments without deeply processing concepts. Others develop dependency on hints, autocomplete systems, or answer-retrieval tools rather than building independent problem-solving habits.
EdWeek explored the EdTech backlash in this article. They found that close to 61% of educators in public school districts say that most parents and caregivers think there’s too much technology in schools.
When students bypass the struggle of thinking through solutions, they lose opportunities to build conceptual understanding, persistence, and problem-solving habits that mathematics instruction is designed to develop.
Why Teachers Are Returning to Paper
Many schools are rebalancing technology use.
Teachers are returning to guided notes, structured workbooks, collaborative board work, handwritten problem solving, and paper-based practice.
Research in cognitive science has repeatedly suggested that handwriting activates learning differently than typing. The manual process of writing strengthens encoding and retrieval processes associated with memory formation. Students who physically work through mathematical reasoning often demonstrate stronger retention and deeper conceptual understanding.
Students build understanding when they show work, revise errors, explain their thinking, and make connections between concepts. Handwritten learning naturally creates more opportunities for those processes to happen. This is especially important in math, where process often matters more than final answers.
AI Literacy Matters More Than AI Elimination
At the same time, reducing screen dependence does not mean schools should eliminate technology or ban AI entirely.
AI is here to stay, so the conversation has to center on literacy instead of prohibition.
Used thoughtfully, AI can strengthen instruction. Used carelessly, it becomes a mechanism to avoid real learning.Â
The AI that classrooms use must be created with these boundaries in mind. A tool that churns out direct answers to questions is doing students a disservice. But thoughtful selected AI tools that walk kids through their thinking and help them pick up where they went wrong, are powerful learning companions that mimic a personal tutor.
As these students graduate and move into the workforce, AI competency will be expected. Schools cannot prepare students for that future by pretending these systems do not exist.
Technology Needs a New Role in Learning
Teachers today are navigating a reality that looks very different than classrooms did even five years ago.
Students need digital skills and need handwritten problem solving. They also need conceptual understanding that develops independently of AI. On top of this, they need to be AI-literate in a world where it’s now easy to find the answers.
At eMATHinstruction, that balance shapes how we think about teaching and learning math.
We believe tactile learning experiences aren’t going anywhere. Real workbooks, guided notes, handwritten practice, and structured problem-solving help students develop reasoning skills that can’t be matched.
At the same time, technology can play an important role in supporting students with the individual help they need. Carefully designed technology can strengthen teacher capacity without replacing the cognitive steps students need to work through themselves.
The goal is not choosing between traditional instruction and technology, but rather building learning environments where each supports the other. As districts continue evaluating screen time policies and instructional technology investments, teachers will likely remain at the center of these decisions.
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