The school year is ending, and I need to sit with what just happened. In my 28-plus years of teaching, I have never experienced a semester that challenged my professional identity as fundamentally as Spring 2023. The arrival of generative AI in education was not a gradual transition - it was a detonation, and every educator I know is still sorting through the debris, looking for what survived and what needs rebuilding.

I want to be honest about what I learned, what I got wrong, and what I am still figuring out. This is not a victory lap. This is a field report.

What I Got Right

Engaging rather than banning. In January, when many districts were following New York City's lead in banning ChatGPT, I made the deliberate choice to bring it into my classroom as a subject of study. I am not claiming moral superiority here - I was terrified. But my instinct told me that prohibiting a free, universally accessible tool would only drive its use underground and forfeit the opportunity to teach students how to use it responsibly.

That instinct proved correct. By mid-semester, even NYC reversed its ban, acknowledging that prohibition was neither effective nor pedagogically sound. The students who had spent the semester examining AI critically - interrogating its outputs, identifying its biases, understanding its limitations - were better prepared than those who had been told to simply avoid it.

Redesigning assessments immediately. I did not wait for a committee to tell me my existing assessments were compromised. Within the first two weeks of the semester, I began modifying major assignments to account for AI availability. This meant more in-class writing with direct observation, more oral presentations and Socratic seminars, more process-oriented portfolios that required documented revision histories, and more assignments rooted in personal experience that AI could not fabricate.

Were these redesigned assessments perfect? Absolutely not. Some were clunky. Some took twice as long to grade. But they were honest attempts to assess genuine student learning in a changed environment, and that matters more than polish.

Talking to students openly. The most productive conversations of the semester were the ones where I told my students the truth: I do not have all the answers about AI in education. Nobody does. But we can figure it out together. That vulnerability - admitting uncertainty while maintaining intellectual rigor - created a classroom dynamic I had not experienced before. Students who might have hidden their ChatGPT use instead brought it into discussions. They showed me their prompts. They critiqued the outputs. They became co-investigators rather than adversaries.

What I Got Wrong

Underestimating the speed of change. In January, I thought I had a year to develop my AI literacy. By March, GPT-4 had launched. Google released Bard. Microsoft embedded AI into Bing and Office. Adobe announced Firefly. The pace of development outstripped my learning plan within weeks. I spent the second half of the semester in a constant state of catching up, and I never fully caught up.

Overcomplicating AI-proof assignments. In my zeal to design assessments that AI could not game, I occasionally created assignments that were so convoluted they obscured the learning objective. One assignment required students to connect a literary analysis to a specific personal memory and then defend the connection in a live interview. The concept was sound - AI cannot fabricate personal memories - but the execution was over-engineered. Several students told me they spent more time trying to understand the assignment format than engaging with the content. Point taken.

Neglecting the equity dimension. This is the one that bothers me most. While I was focused on academic integrity and assessment design, I did not adequately address the equity implications of AI access. Students with reliable home internet, personal devices, and the digital literacy to craft effective prompts had a significant advantage over students without those resources. AI did not create this digital divide, but it amplified it in ways I should have anticipated and addressed more deliberately.

The Five Things I Know Now That I Did Not Know in January

One: AI literacy is not optional. It is as fundamental as digital literacy was a decade ago, and it needs to be embedded across the curriculum, not siloed in a computer science elective. Every teacher, regardless of subject area, needs a working understanding of what generative AI can and cannot do.

Two: The assessment crisis is real but survivable. Yes, traditional take-home essays are compromised. But education has survived previous assessment disruptions - the calculator did not destroy math education, and AI will not destroy writing education. It will, however, force us to be more intentional about what we are actually measuring and why.

Three: Students are not the enemy. The narrative of students-as-cheaters using AI to deceive teachers is counterproductive and, in most cases, inaccurate. The majority of students who used AI this semester were experimenting, not cheating. The distinction matters because it determines whether our response is punitive or educational.

Four: Teacher professional development is dangerously behind. I recently earned my Google for Education Certified Trainer and Coach credentials, and the training barely mentioned generative AI. The professional development infrastructure of K-12 education is not keeping pace with the technology. This gap will have consequences if it is not addressed urgently.

Five: The human elements of teaching are more valuable than ever. The relationships, the mentorship, the ability to see a student struggling before they ask for help, the capacity to inspire curiosity through passion and presence - none of this is replicable by AI. The semester reinforced my belief that the irreplaceable core of teaching is deeply, stubbornly human.

Looking Ahead to 2023-2024

This summer, I plan to do three things. First, I will systematically audit every major assessment in my curriculum and redesign the ones that are most vulnerable to AI circumvention. Second, I will develop a formal AI literacy unit that I can teach in the first weeks of the fall semester, establishing norms and expectations before the first assignment is due. Third, I will document everything - my successes, my failures, my evolving thinking - because I believe this moment in education history deserves honest testimony from the people who lived it.

The 2022-2023 school year broke some things. It also revealed possibilities I had not imagined. Both of those truths deserve acknowledgment.

I will be back in the fall with clearer eyes and better plans. The learning continues.