Camille Faivre has spent the last several years at the intersection of institutional management and the digital frontier, helping K–12 school districts navigate the complexities of e-learning in a post-pandemic world. As schools strive to move beyond the initial shock of emerging technologies, her expertise has become vital for leaders who realize that simply purchasing software isn’t the same as transforming a classroom. In this discussion, we explore the shift from broad artificial intelligence awareness to the gritty, day-to-day realities of instructional design, focusing on how districts can move away from superficial workshops toward a culture of sustained, context-driven professional growth.
The conversation centers on the limitations of traditional professional development when faced with the rapid evolution of digital tools. We delve into why “one-off” training sessions often fail to stick, the psychological importance of the “I-need-it” moment in teacher adoption, and the critical role of trusted peers in building long-term instructional judgment. The dialogue also addresses the necessity of a comprehensive district strategy that includes governance and ethical frameworks, while emphasizing that true success is measured not by how often a tool is used, but by the critical thinking and pedagogical intent behind its implementation.
Teachers often find that a single workshop does not prepare them for the nuances of daily lesson planning with new technology. Why does the “one-and-done” model fall short when it comes to integrating artificial intelligence into the classroom?
The primary reason a single workshop fails is that it tries to provide a generic solution to a highly contextual problem. A teacher might walk out of a session feeling inspired after seeing a demonstration of a new tool, but the moment they sit down to plan for their specific group of students, they hit a wall of uncertainty. They start asking themselves if the tool will actually strengthen the learning objective or if it’s just a flashy distraction. They have to weigh whether the output can be trusted, if every student in their diverse classroom has meaningful access, and where their own human judgment needs to override the machine. These are heavy, complex decisions that don’t fit neatly into a 60-minute slide deck. Effective learning in this space requires sustained opportunities to experiment, fail in a safe environment, and then talk through those specific classroom sightings with someone who understands their unique pressure.
Research suggests that educators are more likely to adopt new tools when they address an immediate, practical problem. Could you describe how these “I-need-it” moments change the way professional development is delivered?
We’ve seen through recent research-practice partnerships that relevance is the biggest driver of teacher engagement. There was a specific case involving a faculty member who had been putting off professional development because it didn’t feel like a priority given their mounting workload. However, the second they struggled with the specific task of creating weekly course overviews, an instructional designer stepped in to show how an automated capability could solve that exact pain point. That transition from “this is a cool tool” to “this solves my problem right now” is the “I-need-it” moment that sticks. In a K–12 setting, teachers are making these instructional design decisions constantly, often in isolation. When they have access to a trusted colleague who can offer a solution at the exact moment a curriculum hurdle appears, the technology stops being an extra chore and starts being a lifeline.
Instructional judgment isn’t something that can be taught in a single afternoon. How do teachers develop the ability to decide when a tool is appropriate for a third-grader versus a ninth-grader?
Developing that level of judgment is a slow process that requires a cycle of trying, inspecting, and reconsidering. What works for a ninth-grade history assignment—where students might be analyzing complex historical perspectives—could be completely inappropriate or even counterproductive in a third-grade classroom focused on foundational literacy. Teachers need the space to work through these distinctions with specialists who know the local context, such as library media specialists, special education leaders, or curriculum coaches. It’s about more than just the “how-to” of the software; it’s about understanding the ethical implications of student use and the pedagogical impact on intellectual demand. We need to empower teachers to look at the results of a tool and say, “This actually reduced the critical thinking required for this task, so I’m going to go a different route next time.”
Many districts confuse having a list of approved tools with having a comprehensive strategy. What are the essential components of a true district-wide approach to digital integration?
A list of approved software is just a shopping list; a strategy is a roadmap for how those tools serve the district’s core instructional goals. District leaders have to tackle the “invisible” work: governance, tool evaluation for privacy and accessibility, and setting clear expectations for academic integrity. This strategy must be fluid enough to evolve as the technology and policies change. It involves bringing the people on the front lines—the instructional coaches and teacher leaders—into the decision-making process so they understand the “why” behind the “what.” When professional learning is tied to this broader strategy, it gives teachers a way to connect their daily classroom actions to the district’s long-term vision for student success and responsible digital citizenship.
Instructional coaches are often labeled as “champions” for new initiatives, but they are frequently overextended. How can districts better support the people who are supposed to be supporting the teachers?
You can’t just give someone a new title like “AI Champion” and expect them to move the needle if their plate is already overflowing. These educators need protected time to experiment on their own before we expect them to lead their peers through the weeds. They need direct access to district leadership so they can get fast answers on policy changes, curriculum shifts, and technology hurdles. Most importantly, districts need to give these supporters the authority to raise red flags. Their value doesn’t come from being a cheerleader for a specific tool the district just bought; it comes from their ability to help a teacher identify when a tool doesn’t fit the instructional need. If we don’t support the supporters, the whole system of professional growth collapses under the weight of burnout and superficial implementation.
There is often a fear of failure when it comes to implementing new technology in schools. Why is it important for districts to create a space where educators can talk openly about what didn’t work?
We learn far more from a failed experiment than from a perfect demo. When a teacher tries a new approach and it produces an unreliable answer, creates more work than it saves, or simply fails to engage the students, that is a goldmine of information. By creating a culture where it’s safe to say, “I tried this and it was a disaster,” districts allow other educators to avoid those same pitfalls. This transparency helps the entire community build a richer, more realistic understanding of where these tools belong and, more importantly, where they don’t. It shifts the focus from “using technology for the sake of technology” to a more disciplined, evidence-based approach to teaching where the human educator is the ultimate filter for quality.
Success in education is often measured by usage statistics, but you’ve argued that more use doesn’t necessarily mean better preparation. What should districts be measuring instead?
Usage statistics are a “vanity metric”—they tell you that a screen was on, but they don’t tell you if learning happened. Instead of counting how many times a tool was accessed, we should be looking at whether educators can critically evaluate the output and explain the reasoning behind their choices. We should be measuring the quality of the decisions being made: Can the teacher explain why they chose a specific tool for this lesson? Can they identify the potential biases or accessibility gaps in the results? Do they feel more confident in their ability to pivot when the technology isn’t serving the students? True success is reflected in the growth of teacher agency and the ability to articulate the pedagogical “why,” rather than just the technical “how.”
What is your forecast for the evolution of the teacher’s role as these tools become more embedded in the K–12 environment?
I believe we are moving toward a future where the teacher’s primary role is that of a high-level instructional designer and a mentor of human judgment. As technology takes over more of the administrative and routine tasks, the “judgment” factor becomes the most valuable asset in the room. In the coming years, we will see a much sharper focus on the human elements of education—mentorship, social-emotional connection, and complex problem-solving—that machines simply cannot replicate. The goal of our professional learning today is to prepare teachers for that shift, ensuring they have the confidence to decide when to lean on a tool and when to push it aside to focus on the student standing right in front of them. The judgment they develop now, through practice and peer reflection, will be the foundation of a more personalized and more deeply human educational experience for every child.
