Short answer: high-quality STEM professional development should change what a teacher can notice, explain, design, test, and improve after the workshop ends. The strongest programs deepen content and pedagogy, require active practice, connect to real classroom work, provide useful feedback, and make their evidence and credential claims easy to inspect.
A teacher’s time is one of the scarcest resources in education. A full day of professional development is not just a line in a budget; it is hours taken away from planning, students, colleagues, family, and the thousand small decisions that make a classroom work.
That makes the right question surprisingly simple: What will the teacher be able to do better on Monday?
Key Finding
Professional development should build durable teacher capability that remains useful after the session ends. If the learning only works while a vendor, platform, script, or slide deck is present, the transfer is incomplete.
Workshops, coaching, and certification serve different purposes
The phrase STEM professional development is used for very different experiences. A one-hour software orientation, a multi-day engineering institute, a coaching cycle, a university course, and a professional credential may all appear under the same search term. They do not make the same claim.
Product onboarding can be useful when a school adopts a new tool. A workshop can introduce a strategy. Coaching can help a teacher refine practice over time. Certification can document that an individual met defined requirements. Problems begin when those categories blur—when attendance is treated as competence, product training is presented as broad STEM expertise, or a completion certificate is described as if it independently verifies professional capability.
For educators and school leaders, the better approach is to inspect the learning experience itself.
Research Note
Research on teacher learning has repeatedly emphasized features such as content focus, active learning, coherence, duration, and collective participation. Laura Desimone argued that these features were sufficiently established to be treated as a common framework for studying professional development, while also cautioning that stronger evidence is still needed to connect particular features to student outcomes across contexts. A later meta-analysis of 60 causal studies found that teacher coaching was associated with sizable improvements in instructional practice and smaller gains in student achievement, while also finding that effects tended to shrink as programs scaled. The lesson is not that one format always wins; it is that design and implementation matter.
Seven tests before teachers spend their time
Does it deepen STEM content, not just classroom technique?
A workshop on forces might ask teachers to predict where a paper bridge will fail, explain how its supports affect the load it can carry, and compare those predictions with test results. The useful learning lies in examining why an explanation held up or broke down—and deciding what students would need to understand to make a better prediction.
Strong professional learning helps teachers think more precisely about the science, mathematics, engineering, or technology they are teaching. It should improve more than presentation style. A teacher should leave with a better grasp of the underlying ideas, the misconceptions students are likely to bring, and the evidence that would distinguish a strong explanation from a weak one.
This is especially important in integrated STEM, where activities can look interdisciplinary without requiring much disciplinary reasoning. Building a bridge is not automatically engineering. Coding an animation is not automatically computer science. The professional learning should make the intellectual work visible.
Are teachers active learners?
Watching examples is not the same as doing the work. Effective STEM professional development should ask teachers to solve, model, design, test, interpret, revise, or explain something themselves.
For example, give participants an unfamiliar data set and ask them to defend a conclusion before showing a model response. Comparing plausible interpretations can reveal assumptions, gaps in the evidence, and questions worth investigating. The discussion afterward should connect that experience to the decisions teachers will make when students encounter similar uncertainty.
That matters because teachers need to experience the same uncertainty students will encounter. A facilitator can describe productive struggle, but a teacher understands it differently after confronting an ambiguous data set, a failed prototype, or a model that does not fit the evidence. The experience becomes more useful when participants must explain how they know, not merely repeat what was shown.
This is the same reason productive struggle matters for learners: cognition becomes visible when the answer is not supplied too early.
Does it connect to the teacher’s real classroom?
A professional learning experience should be coherent with what educators actually teach, the age of their students, the time available, local requirements, and the resources they can reasonably access. Transfer weakens when examples assume conditions that do not exist back at school.
Suppose a workshop models a project using sensors that a school can afford in only small numbers. Teachers could plan how groups will share equipment, collect comparable measurements, and use the waiting time productively. Working through those constraints during the session makes the adaptation part of the learning, while keeping the scientific question at the center.
Coherence does not mean every workshop must mirror a district script. It means teachers can see how the learning fits into their existing responsibilities and can adapt it without breaking the underlying idea.
A useful test is to ask participants to name one lesson, unit, lab, project, or assessment they will change as a result of the experience—and explain why.
Is there useful feedback after the first attempt?
After a teacher tries a lesson on plant growth, feedback might focus on whether students separated observation from inference. A colleague could point to a student’s unsupported claim and help the teacher plan a question that asks for evidence. On the next attempt, both could examine whether students explain their conclusions more clearly. That gives the teacher a specific change to test and a way to judge its usefulness.
STEM practice improves through revision, and teacher learning should work the same way. Feedback may come from a facilitator, coach, peer, rubric, student work sample, or structured reflection. What matters is that the teacher has a chance to try something, inspect what happened, and improve the next version.
Research on teacher coaching suggests that feedback can improve instructional practice, but the results vary by context and program design. Treat coaching as a method that must be implemented well, not as a guarantee.
Time for application
Teachers need time to apply new ideas, encounter complications, and revisit the work. A second pass helps move an idea from exposure toward classroom practice.
Consider a teacher learning to use engineering design with a mixed-ability class. During a workshop, the task may run smoothly because the materials are prepared and other adults understand the constraints. Back at school, students may interpret the brief differently, finish at different speeds, or struggle to explain a design choice. Those complications give the teacher something specific to examine and revise.
A useful professional learning plan builds in that return: try the task with students, collect a few work samples, identify where the reasoning broke down, and bring the evidence to a follow-up session. An extra day of presentations would not serve the same purpose.
Before enrolling, ask what happens between sessions and afterward. Is there protected time to plan and teach, a realistic opportunity to revisit the work, and support for making the next attempt better?
Collaboration should sharpen judgment
Teachers benefit from comparing student work, instructional choices, and local adaptations with colleagues. The purpose of collaboration is better reasoning, not uniformity.
In a planning meeting, two teachers might bring responses to the same science question. One class has used the correct vocabulary but offered little explanation; the other has drawn imperfect models that reveal a stronger grasp of the mechanism. Comparing those responses gives the teachers a concrete problem to investigate: what counts as evidence of understanding, and what should each class do next?
That conversation needs more than a chance to exchange favorite activities. Participants should examine the task, explain their interpretation of the student work, consider a colleague’s alternative reading, and decide what they would change. Disagreement can be productive when it is anchored in evidence rather than personal preference.
Look for time and structure that make this possible: a shared question, actual classroom work, focused discussion, and a chance to report what happened after a change. Collaboration earns its place when it improves an instructional decision.
Credential claims should be precise
Ask what the provider is actually claiming. Attendance, completion, demonstrated competence, and certification are different outcomes.
Start with the requirements behind the label. Who assessed the participant, what evidence did they examine, and which capabilities were assessed? A submitted lesson plan, an observed teaching session, and a multiple-choice knowledge check provide different kinds of evidence. A credible description makes those differences visible instead of leaving the reader to infer them from a badge.
Then check the credential’s scope and verification process. Can a school confirm the issuer, requirements, recipient, and current status? Does the description identify what was assessed without suggesting that every aspect of the teacher’s practice—or their school—was evaluated? Clear boundaries make a credential more useful when hiring, planning professional learning, or explaining qualifications to families.
Within STEM.org’s system, STEM.org Certified™ is the individual educator pathway. It does not automatically accredit a school, authenticate a product, or review a curriculum. For the distinction, see What Is STEM Certification?
The Monday Test
Can the learning survive outside the workshop?
After the session, can the teacher independently plan or adapt a STEM learning experience, notice weak reasoning, respond to evidence, and explain the instructional decision?
If so, professional learning has begun to transfer into durable practice.
For a current educator pathway, explore the expanded STEM.org Certified™ course and language editions, then compare its learning requirements and local fit with the professional-development questions above.
The goal is durable professional capability
Strong STEM professional development leaves teachers better able to plan, notice, respond, and explain. It should strengthen classroom judgment and make the boundaries of any credential clear.
A good workshop ends. Stronger practice remains.
Research cited: Desimone (2009) · Kraft, Blazar & Hogan (2018)
