Trust Depends on Seeing the Process
This week, teachers, students, and researchers described a growing trust problem around AI. Much of that problem comes from making judgments about work while having almost no information about how the work was produced.
This week, teachers, students, and researchers described a growing trust problem around AI. Much of that problem comes from making judgments about work while having almost no information about how the work was produced.
What Happened This Week
On May 20, NPR reported that fifty-seven percent of America's special education teachers are now using AI to help draft Individualized Education Programs, up from thirty-nine percent the year before.12
Three years into the ChatGPT era, most districts are still working their way through one question.34
On Saturday, Euronews published a long look at the Estonian schools experiment most American superintendents have not yet read.56
On Tuesday, David Marshall of Auburn and Tim Pressley of Christopher Newport published an op-ed reporting that eighty-five percent of the nearly six hundred American teachers they surveyed in May believe students spend too much time on screens during class.78
On Friday, NPR and Ipsos released a nationally representative poll of 545 K-12 teachers.9
On Thursday, Matt Barnum at Chalkbeat published a column with a question most school boards have not yet asked out loud.1011
On May 29, the dean of Boston University's Wheelock College and the executive director of Just Horizons Alliance signed a three-year agreement to build something the field has been quietly missing.1213
What These Stories Have in Common
Teachers are being asked to distinguish learning from assistance by looking at a final document. Students are being asked to prove honesty after the fact. That arrangement creates suspicion even when both sides are acting in good faith.
Koan starts from a simple premise. The final answer is no longer a reliable measure of learning. Schools need to understand how students reached that answer and whether the work made them more capable.
What Schools Can Do
A better system makes AI use and revision visible while the work is happening. It gives students a clear way to explain their choices and gives teachers evidence they can use for coaching instead of accusation.
Trust is easier to preserve when neither side has to guess what happened.
References
Overworked and understaffed: Special ed teachers turn to AI for help
NPR · May 20, 2026
From Personalized to Programmed: The Use of Generative AI to Develop Individualized Education Programs for Students with Disabilities
Center for Democracy and Technology · October 2025
This Central Bucks English teacher isn't banning AI. Instead, he's asking kids how they used it.
The Philadelphia Inquirer · May 31, 2026
To keep AI out of her classroom, this high school English teacher went analog
NPR · January 28, 2026
A technorealistic approach to AI literacy in Estonian schools
Euronews · May 30, 2026
Estonia Launches Nationwide AI Leap Education Program and Introduces Learning-Supportive AI in Upper Secondary Schools
TI-Hüpe (AI Leap) · 2026
Have We Gone Too Far with Technology in Schools?
RealClearEducation · June 2, 2026
Concerns over classroom screen time emerge in new national study by professors at Auburn's College of Education and Christopher Newport University
Auburn University · June 3, 2026
Most K-12 teachers say AI's impact on education will eclipse the internet or computers
NPR · June 5, 2026
For students, generative AI raises a new question: Will more education still pay off?
Chalkbeat · June 4, 2026
Does Generative AI Narrow Education-Based Productivity Gaps? Evidence from a Randomized Experiment
National Bureau of Economic Research · 2026
BU, nonprofit team up to build AI Ethics Index for schools
Axios Boston · June 1, 2026
New AI Ethics Index Launches to Help Schools Evaluate the Real-World Impact of Artificial Intelligence
BU Wheelock College of Education & Human Development · May 29, 2026
Sources cited in order of appearance. Click any inline number to jump.