Oct 14, 2026 · 33 min
Better ed tech starts with learning goals, not flashy features
Beyond screen time: What makes educational technology effective, with Nicole Barnes, PhD
As schools adopt digital tools and generative AI, the central question is whether technology deepens learning or merely improves appearances.
- 1Effective evaluation begins with the intended learning goal and whether students can explain or apply knowledge independently.
- 2Technology can help through immediate feedback, leveled practice, and access, but its value depends on what it replaces.
- 3Generative AI and student-data collection demand caution, while teachers’ contextual and relational expertise remains indispensable.
Don't miss
Barnes explains why a stronger-looking AI-assisted assignment may still fail to demonstrate that a student understands the material.
The brief
Nicole Barnes, PhD, joins Kim Mills to examine how parents and educators can separate educational technology that supports learning from products that only look engaging.
Barnes argues that screen time is the wrong starting point: adults should ask what an activity replaces and whether students are doing the thinking.
The strongest tools serve a clear learning goal, offer advantages such as immediate feedback or leveled practice, and leave students able to explain what they learned.
Generative AI raises a sharper problem because it can make a student’s final product look stronger without showing genuine understanding; privacy risks add another layer of scrutiny.
Barnes favors cautious, age-appropriate AI policies over blanket bans and says sophisticated tools make teachers more important, not less, because they understand students’ context and relationships.
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