STEM Education Statistics on Student Engagement and Professional Learning in Practice – USA 2025

Overview

This report presents research informed insights into STEM education, engagement, and professional learning in 2025.

STEM educators sit at the intersection of knowledge, curiosity, and real-world problem solving. They are responsible for translating fast-moving scientific and technological change into learning that feels relevant, engaging, and usable. With expectations continuing to climb, many teachers rely on ongoing STEM-focused learning opportunities to help them keep pace. As expectations around innovation, skills development, and student engagement continue to rise, understanding how STEM educators think, adapt, and make decisions has become increasingly important.

To find out what 1,175,517 opinions of STEM educators in the US were about the sector, we utilized AI-driven audience profiling to synthesize insights from online discussions for a full year, ending on December 9, 2025, to a high statistical confidence level. Their viewpoints capture how educators approach teaching environments, innovation, support systems, and professional growth across the United States, providing a detailed picture of what is shaping STEM education right now.

Why Does This Research Offer a Distinct Perspective on STEM Education?

Much of the existing research on STEM education draws from controlled studies, program evaluations, or limited samples of instructional settings. While these approaches provide valuable insights, they often capture intended practices rather than how educators actually make decisions in day-to-day teaching environments.

This report offers a distinct perspective by synthesizing large-scale patterns drawn from the discourse, behaviors, and expressed priorities of STEM educators across the United States. Rather than focusing on what educators are encouraged to do, the findings reflect what educators actively seek out, discuss, and value in practice.

By examining engagement preferences, instructional influences, and professional learning behaviors at scale, the data highlights how STEM education functions under real classroom conditions. These insights surface patterns shaped by time constraints, resource availability, learner diversity, and practical implementation challenges that are not always visible in smaller studies.

The value of this approach lies in its ability to capture lived instructional realities. When viewed alongside established research, the findings in this report help bridge the gap between theory and practice, offering a complementary lens on how STEM education is shaped, sustained, and adapted in real learning environments.

How Do Applied STEM Teaching Environments Reflect These Findings?

Across the United States, the priorities and behaviors highlighted in this analysis closely reflect patterns observed in applied STEM teaching environments. In hands-on professional development settings, live workshops, and large-scale STEM learning experiences, educators consistently emphasize engagement, curiosity, and collaboration as foundational to effective instruction.

These patterns align with instructional models that prioritize experience before explanation. Rather than beginning with abstract concepts, educators increasingly rely on demonstrations, real-world scenarios, and interactive activities to establish shared understanding. This approach allows learners to observe outcomes, ask questions, and test ideas before formal definitions are introduced.

In applied STEM practice, collaboration and student interaction are not treated as supplementary strategies but as structural elements of lesson design. Group problem-solving, peer discussion, and collective experimentation create learning environments where ideas are refined through dialogue and shared discovery. These conditions support both conceptual understanding and learner confidence.

The findings in this report reflect how STEM education functions when instruction is actively modeled, experienced, and refined in real classroom and training settings. They highlight the continued importance of hands-on, engagement-first approaches that translate complex scientific and technical ideas into learning that feels accessible, relevant, and usable.

Index

• STEM educators prioritize collaborative learning environments, with 39% identifying collaboration as their top classroom priority.
• Student interaction is central to STEM instruction, with 42% of educators describing teamwork and interaction as absolutely essential to their teaching framework.
• Curiosity is most often supported through real-world scenarios, used by 68% of STEM educators to ground learning in practical and relatable contexts.
• Early STEM experiences emphasize hands-on exploration and observable cause-and-effect, shaping long-term curiosity and engagement.
• Hands-on projects and demonstrations play a key role in introducing complex STEM topics, with 30% of educators finding hands-on projects extremely helpful.
• Demonstrations serve as learning anchors, helping reduce cognitive load and support understanding before formal explanation.
• Experience-led learning models are favored over information-first approaches, allowing learners to build understanding through interaction and observation.
• Transferable instructional strategies increase adoption and confidence, supporting use across grade levels, subjects, and learning environments.
• Classroom templates and structured resources are highly valued, with 40% of STEM educators finding templates extremely useful for lesson planning.
• Ease of use is the primary driver in selecting STEM teaching tools for 30% of educators, reinforcing the need for practical, low-friction solutions.
• Student curiosity is the main inspiration for hands-on STEM learning for 52% of educators, while educator curiosity drives experimentation for 45%.
• Engagement impact is the strongest influence on interest in innovative STEM activities, shaping decisions for 66% of educators.
• Professional development is most effective when it is engagement-driven, practice-focused, and supported by modeling, collaboration, and follow-up.
• Live STEM events and conferences remain the primary way educators stay current, relied upon by 71% of the audience.
• Teaching inspiration and access to demonstrations influence attendance decisions for STEM events and conferences.
• Teaching guidance is identified as essential support by 30% of STEM educators, reinforcing the value of clear instructional direction.
• The majority of STEM educators in the audience work in education (55%), with additional representation across science centers, youth programs, and informal learning environments.
• STEM educators are concentrated in major urban hubs, including Boston, Seattle, and New York, reflecting strong ties to education and innovation centers.
• The report concludes with an analysis of the current and future state of STEM education, highlighting engagement-first, experience-led instruction as central to sustained learning and confidence.
• Methodology details outline how insights were derived from more than 1.1 million educator opinions across online platforms.

What Type of STEM Classroom Environment Do You Aim to Create?

39% of STEM educators’ top priority is to create a classroom environment that is collaborative

Classroom priorities cluster around hands-on environments, with several approaches shaping the mix:

The type of STEM classroom environment STEM educators in our audience aim to create most often starts with collaboration. For 39%, a collaborative environment is a top priority, and valued by less than 1%, reflecting a push for students to communicate, share ideas, and solve problems together. That aligns with recent research on STEM classrooms that highlights collaboration and flexible learning structures as key conditions for meeting learning objectives.

Project-based learning follows, with 22% listing it as a top priority, 13% valuing it, and 1% saying it’s not their approach, showing many educators prefer students to learn by building, testing, and presenting solutions. Exploration-focused is also a major priority at 21%, pointing to hands-on experimentation and student agency, even as 1% say it is not the main focus.

Inquiry-centered, at 2% top priority, signals a more question-led structure, while discovery-centered, at less than 1% top priority, reflects a smaller group leaning into open-ended learning and creativity.

What Role Does Student Interaction Play in Your STEM Teaching Style?

42% of STEM educators say that student interaction plays an absolutely essential role in their teaching framework by supporting teamwork

Student interaction spans multiple learning outcomes rather than serving a single purpose:

The role student interaction plays in STEM teaching styles is most evident in how learning happens together. Supporting teamwork is absolutely essential for 42% of STEM educators, with a further less than 1% calling it very important, reflecting a belief that students make more progress when ideas are shared, challenged, and refined collectively.

Research from The Journal of Advances in Educational and Psychology supports this, showing that students working in teams develop a stronger understanding than those studying alone.

Interaction also shapes individual learning outcomes. Building confidence is absolutely essential for 16% and very important for 1%, suggesting that speaking, explaining, and collaborating help students trust their thinking. Sparking curiosity carries the same weight, with 16% essential and 1% very important, showing how dialogue invites questions and exploration.

Strengthening understanding follows closely, with 17% calling it absolutely essential and less than 1% very important, pointing to how discussion helps students connect concepts rather than memorize them. Encouraging participation, at 4% and less than 1%, reflects the role interaction plays in drawing quieter students into the learning process.

How Do You Support Curiosity in Your STEM Learners?

68% of STEM educators support curiosity in learners by using real-world scenarios

Curiosity is most often sparked through a single dominant method, backed by a mix of supporting tactics:

How curiosity is supported in STEM learning is led most clearly by the use of real-world scenarios. For 68% of our audience, this is the primary way curiosity is encouraged, reflecting a strong preference for grounding concepts in practical, relatable problems. This mirrors research on integrated STEM learning, which identifies real-world problems as a defining feature that helps motivate students and place abstract ideas into meaningful context.

Creative thinking groups follow at 11%, showing how collaboration can prompt students to explore ideas from different angles. Open exploration time, at 10%, points to the value placed on giving learners space to test ideas independently. Interactive questions, used by 6%, suggest curiosity is often sparked through dialogue and reflection. Challenge-based tasks round out the picture at 5%, supporting curiosity by pushing students to apply knowledge to purposeful, problem-driven activities.

How Does Early Childhood STEM Shape Curiosity and Engagement?

Early childhood STEM learning places a strong emphasis on curiosity-driven exploration and observable cause-and-effect relationships. In these learning environments, curiosity is often supported through sensory experiences, hands-on interaction, and opportunities for learners to test ideas through direct manipulation rather than abstract explanation.

At early developmental stages, STEM instruction frequently prioritizes experience over terminology. Learners are encouraged to notice patterns, predict outcomes, and describe observations using their own language. This approach supports confidence-building by allowing children to engage with scientific concepts without the pressure of formal definitions or technical vocabulary.

Hands-on exploration in early childhood STEM also reinforces foundational skills that extend into later learning. Activities that invite learners to pour, build, balance, mix, or observe changes over time help establish early understanding of systems, properties, and relationships. These experiences lay the groundwork for inquiry-based learning as students progress through more formal STEM instruction.

The emphasis on curiosity and engagement identified in this analysis reflects how early STEM experiences contribute to long-term interest in science and problem solving. When learners associate STEM with exploration and discovery from an early age, they are more likely to approach complex topics with confidence and openness in later learning environments.

What Helps You Introduce Complex STEM Topics?

Hands-on projects are extremely helpful for 30% of STEM educators when introducing new topics

Methods that involve doing and applying ideas carry more weight than talking through them:

What helps educators introduce complex STEM topics most effectively leans toward practical application. Hands-on projects stand out, with 30% rating them as extremely helpful, reflecting a preference for letting students work through abstract ideas by applying them in tangible ways. This ties in with STEM education research that identifies experiential projects as a way to turn complex concepts into something students can see, test, and understand.

Peer discussion shows a more mixed role. While 14% find it extremely helpful and 16% somewhat helpful, 18% say it is not very helpful, suggesting discussion works best when paired with concrete activities rather than standing alone. Story-based teaching, rated somewhat helpful by 21%, points to the value of narrative for framing ideas, especially when stories support hands-on learning rather than replace it.

How Do Demonstrations Support Understanding in STEM Learning?

When introducing complex STEM topics, educators often rely on demonstrations to create shared points of reference that support understanding. Demonstrations function as learning anchors by allowing learners to observe outcomes, question assumptions, and explore cause-and-effect relationships before engaging with formal explanations.

Unlike extended projects, demonstrations offer immediate feedback. A single visible result can prompt discussion, invite predictions, and surface misconceptions in real time. This makes demonstrations particularly effective for introducing abstract or unfamiliar concepts, where learners benefit from seeing principles in action before working with models or terminology.

Demonstrations also support consistency across learning environments. Because they can be repeated, adapted, and scaled, they help establish common experiences that learners can reference throughout a lesson or unit. These shared experiences make it easier to connect subsequent instruction to something learners have already observed and discussed.

The emphasis on hands-on approaches identified in this analysis reflects the value of demonstrations as instructional starting points. By anchoring learning in observable experiences, demonstrations help reduce cognitive load, increase engagement, and support clearer conceptual understanding as complexity increases.

How Does Cognitive Load Influence STEM Instructional Design?

STEM instruction often requires learners to process multiple new ideas simultaneously, including unfamiliar concepts, terminology, and problem-solving strategies. When cognitive demands are too high, learners may struggle to engage meaningfully, even when motivation is present. Instructional approaches that manage cognitive load help learners focus on core ideas without becoming overwhelmed.

Experience-led STEM instruction can reduce cognitive load by grounding learning in observable phenomena and shared experiences. When learners first interact with materials or observe outcomes, they establish mental reference points that make subsequent explanations easier to organize and understand. This sequencing allows new information to be layered gradually rather than introduced all at once.

Demonstrations and hands-on activities also support cognitive efficiency by externalizing complex processes. Seeing cause-and-effect relationships unfold in real time reduces the need for learners to mentally simulate abstract ideas. This frees cognitive resources for questioning, discussion, and deeper reasoning.

The emphasis on demonstrations and hands-on learning reflected throughout this report aligns with how educators manage complexity in practice. Instructional designs that simplify entry into challenging topics while preserving conceptual depth help sustain engagement, support comprehension, and enable learners to persist as difficulty increases.

How Do Experience-led Learning Models Differ from Information-first Approaches?

In STEM education, instructional approaches generally fall along a continuum between information-first and experience-led models. Information-first instruction emphasizes explanation, terminology, and conceptual framing before learners interact with ideas in practice. Experience-led learning, by contrast, begins with direct interaction, observation, and exploration, allowing learners to encounter concepts before formal explanations are introduced.

Experience-led models create early points of reference that help learners interpret new information. When learners first observe a phenomenon, test a variable, or engage in a shared task, subsequent explanations are anchored to something they have already seen or done. This reduces abstraction and helps learners organize new information more effectively.

Information-first approaches often rely on sustained attention during explanation, which can limit participation when learners lack context or prior experience. Experience-led instruction lowers this barrier by inviting learners into the learning process immediately. Engagement emerges through action, questioning, and interaction rather than through passive reception of content.

The preference for hands-on and demonstration-based instruction reflected in this report aligns with the strengths of experience-led learning models. Educators gravitate toward approaches that help learners build understanding through participation, making complex ideas more accessible and supporting deeper comprehension over time.

How Does Transferability Influence Adoption of STEM Instructional Approaches?

When educators evaluate new STEM instructional strategies, transferability plays a central role in adoption decisions. Approaches that can be adapted across grade levels, subject areas, and classroom conditions are more likely to be implemented consistently over time. Transferable strategies allow educators to see how an idea can function beyond a single lesson or context.

Instructional methods that rely on shared structures, such as demonstrations, hands-on activities, and collaborative problem-solving, tend to transfer more easily than highly specialized or resource-intensive approaches. Because these structures can be scaled up or down, educators are able to modify complexity, pacing, and materials while preserving the core learning experience.

Transferability also supports instructional confidence. When educators recognize familiar patterns in new strategies, they are better able to anticipate challenges and plan adjustments. This reduces the perceived risk of trying something new and increases the likelihood that an approach will be sustained rather than abandoned after initial use.

The emphasis on repeatable, hands-on learning reflected in this report aligns with how educators assess instructional value in practice. Strategies that are adaptable, resilient, and usable across diverse settings are more likely to be shared, refined, and integrated into long-term STEM teaching frameworks.

What Type of Resources Do You Find Most Useful for Lesson Planning?

40% of STEM educators find classroom templates extremely useful for lesson planning

Structured resources attract broader use, while hands-on guides remain highly valued:

The type of resources found most useful for lesson planning reflects a balance between structure and experimentation. Classroom templates lead the way, with 40% of STEM educators in our audience rating them extremely useful and a further 30% calling them quite helpful, showing how ready-made frameworks support consistency, pacing, and clarity when planning lessons.

These tools help educators focus more time on delivery rather than setup. Experiment guides follow closely, with 30% rating them extremely useful, pointing to the value of resources that support hands-on learning and clear instructional flow.

What Drives Your Selection of STEM Teaching Tools?

30% of STEM educators say that ease of use is the biggest driver when selecting teaching tools

Tool selection is shaped by several competing priorities:

What drives the selection of STEM teaching tools by educators in our audience begins with ease of use. For 10%, it’s a top priority, while 20% see it as an important factor, showing that tools need to fit smoothly into lesson flow without adding friction. Student engagement follows, with 15% naming it a top priority and 12% calling it important, reflecting a focus on tools that capture attention and invite participation.

Innovation also shapes decision-making, rated a top priority by 10% and an important factor by 12%, echoing wider thinking around integrating technology to introduce new teaching techniques that keep learning fresh and interactive. Practical application rounds out the picture, with 14% ranking it as a top priority and 7% as important, highlighting the value placed on tools that translate ideas into classroom action.

What Inspires Your Approach to Hands-on STEM Learning?

Student curiosity is the main inspiration to hands-on approach to learning for 52% of STEM educators

Inquiry sits at the heart of what sparks active learning:

When it comes to what inspires approaches to hands-on STEM learning, 52% of our audience pointed to student curiosity as the main inspiration, reflecting a belief that learning moves fastest when students are genuinely eager to explore and ask questions. This is supported by broader educational insights that point to curiosity as a key driver of focus, motivation, and deeper investigation in the classroom.

Real-world problem-solving follows, with 25% naming it as a main inspiration and 9% seeing it as a strong influence, showing how practical challenges help give learning purpose. Creative experiments play a smaller but meaningful role, with 4% citing them as a main inspiration and 3% as a strong influence, encouraging trial and discovery.

Peer collaboration, at 3% as the main inspiration and 1% a strong influence, and interactive demonstrations, at 4% main inspiration, round out the picture, supporting engagement through shared and visual learning experiences.

What Shapes Your Decision to Try New STEM Experiments?

45% of STEM educators say that educator curiosity is a major influence when deciding to try new experiments

The push to try new ideas comes more from interest than obligation:

Decisions to try new STEM experiments are shaped most strongly by educator curiosity. For 45% of our audience, it’s a major influence, with a further 15% seeing it as some influence and less than 1% as a minor influence, showing that a teacher’s own interest and appetite for exploration often drives experimentation.

Student enthusiasm plays a supporting role. While just 3% see it as a major influence, 29% describe it as some influence and 3% as a minor one, suggesting learner energy reinforces, rather than initiates, experimentation.

Curriculum goals carry far less weight, with 2% citing them as a major influence and 1% as some influence, pointing to limited reliance on formal requirements when experimenting. Classroom variety is similarly restrained, named a major influence by only 2%, indicating that novelty alone is rarely the deciding factor.

What Influences Your Interest in Innovative STEM Activities?

Engagement impact has the biggest impact on 66% of STEM educators’ interest in innovative activities

Decisions lean toward what works in the classroom, rather than abstract appeal:

Interest in innovative STEM activities is shaped most strongly by engagement impact. For 26% of our audience, it’s a major influence, while 40% see it as having some influence and less than 1% as a minor one, highlighting how keeping learners actively involved guides decisions around trying new ideas. This emphasis is reinforced by research showing that hands-on lab work sustains student interest in STEM for 92.6% of learners, pointing to engagement as a driver of long-term interest in the subject.

Creativity also plays a role, with 12% citing it as a major influence, another 12% as some influence, and less than 1% as a minor one, reflecting interest in approaches that allow experimentation and original thinking. Real-world influence carries less weight, with 3% rating it as a major influence, 4% as some influence, and less than 1% saying it has no influence, suggesting real-world context supports innovation but rarely initiates it. Student feedback appears only at the margins, with less than 1% citing it as a minor influence, indicating that innovation decisions are more often educator-led than student-driven.

How Does Engagement Shape STEM Instructional Design?

Across the findings in this report, engagement consistently emerges as a central factor shaping STEM instruction. Rather than being treated as a byproduct of effective teaching, engagement increasingly functions as an intentional design choice that influences how learning experiences are structured.

In practice, this often means beginning instruction with experiences that capture attention and prompt curiosity before introducing formal explanations. Hands-on activities, demonstrations, and real-world scenarios create immediate points of reference that allow learners to connect abstract ideas to observable outcomes. Engagement, in this context, is built into the design of the lesson rather than added as an enhancement.

This approach also reflects a shift away from content-first instruction toward experience-led learning. When learners encounter surprising results, visible cause-and-effect relationships, or relatable problems, engagement becomes a catalyst for deeper questioning and exploration. Explanations, terminology, and conceptual frameworks are then layered onto experiences learners already understand.

The emphasis on engagement impact identified in this analysis highlights how STEM educators increasingly prioritize instructional formats that actively involve learners from the outset. These formats support sustained attention, stronger understanding, and greater willingness to experiment with new ideas, reinforcing engagement as a foundational element of effective STEM teaching.

What Does Engagement Look Like in Practice?

In the context of STEM education, engagement is best understood through observable behaviors rather than abstract descriptions. Engaged learners demonstrate active participation, sustained attention, and a willingness to interact with ideas, materials, and peers. These behaviors signal that learners are not merely present, but cognitively and emotionally invested in the learning experience.

Engagement differs from entertainment. While novelty and surprise can capture initial attention, engagement is defined by what learners do next. Asking questions, testing ideas, collaborating with others, and persisting through challenges reflect engagement that supports learning rather than momentary interest.

Sustained engagement combines focus with interaction. Learners remain attentive while also responding, contributing, and adapting based on what they observe and experience. In STEM settings, this often appears through hands-on exploration, shared problem-solving, and iterative experimentation, where learners actively shape the direction of the experience.

Viewed this way, engagement functions as a measurable outcome of instructional design. When learning environments invite participation, reduce barriers to entry, and encourage interaction, engagement becomes visible, repeatable, and transferable across contexts.

How Do Hands-on STEM Approaches Support Equity and Access in Learning?

Hands-on STEM learning environments can help reduce barriers that often limit participation in traditional instruction. When learners engage directly with materials, phenomena, and shared tasks, understanding is built through observation and interaction rather than language proficiency or prior academic background alone. This allows a wider range of learners to access core concepts through experience.

Experiential approaches also support multiple entry points into learning. Learners can participate by predicting outcomes, manipulating materials, collaborating with peers, or observing results, even when formal vocabulary or technical explanations are still developing. These varied modes of participation make it easier for students to engage meaningfully regardless of prior exposure to STEM content.

Collaboration plays a key role in supporting access. Group-based exploration and shared problem-solving distribute cognitive demands across learners, allowing individuals to contribute in different ways. Through discussion and peer interaction, learners refine ideas together, strengthening understanding while reducing isolation or hesitation.

The emphasis on hands-on, engagement-first learning identified in this report reflects how STEM instruction can be designed to be more inclusive without reducing rigor. By grounding learning in observable experiences and shared inquiry, educators create environments where more learners are able to participate, persist, and develop confidence in STEM learning.

How Does Engagement Inform Effective STEM Professional Development?

When engagement is understood as observable participation and sustained interaction, its role in effective professional development becomes clearer. Research on teacher learning consistently indicates that professional development is most impactful when educators are actively involved in the learning process rather than positioned as passive recipients of information. PD experiences that mirror the same engagement conditions expected in classrooms allow educators to experience instructional strategies from the learner’s perspective.

Professional learning that emphasizes modeling, hands-on participation, and collaborative problem-solving enables educators to see how engagement is intentionally designed and sustained. These experiences make instructional strategies more concrete, revealing how lesson structure, pacing, and interaction influence learner behavior. Rather than describing engagement in abstract terms, effective PD allows educators to recognize it through their own participation and response.

This connection helps explain why educators consistently value professional learning formats that include demonstrations, shared activities, and opportunities for discussion. When PD environments reflect engagement as participation rather than presentation, educators are better equipped to translate strategies into classroom practice. Engagement, in this context, becomes both the subject of learning and the method through which learning occurs.

By aligning professional development with the same engagement principles that support effective STEM instruction, PD experiences are more likely to result in sustained instructional change. Educators are not only introduced to new ideas, but also gain firsthand understanding of how engagement can be designed, observed, and supported in real learning environments.

What Guides Your Search for New STEM Inspiration?

30% of STEM educators say that student interests are their main guide when searching for new inspiration

New ideas tend to come from what resonates day to day rather than from outside signals:

The search for new STEM inspiration is guided most often by student interests. For 30% of our audience, this is the main guide, with 11% finding it helpful, 2% seeing it as a minor influence, and 3% saying it is not a guide at all, showing how closely inspiration follows learner response. Research into Fostering Interest in and Motivation for STEM shows that students link inspiring teacher attitudes with stronger involvement in STEM learning, reinforcing the pull of student-centered cues.

Classroom needs come next, with 20% naming them as a main guide, 9% as helpful, 3% as a minor influence, and 2% not a guide at all, reflecting practical realities shaping ideas. Creative trends register evenly at 3% across main, helpful, minor, and not a guide at all, suggesting they spark awareness more than direction.

Educator communities guide 8% directly, with less than 1% finding them helpful, pointing to selective peer influence. Online research remains minimal, with less than 1% citing it as a main guide, indicating inspiration is rarely found through searching alone.

How Do You Stay Current with Modern STEM Practices?

71% of STEM educators stay current with modern practices by attending STEM events

Keeping up to date relies far more on shared experiences than solo exploration:

STEM events help a significant 71% of our audience stay current with modern STEM practices, highlighting how conferences, workshops, and live demonstrations remain the most relied-on source for new ideas and developments.

Professional communities follow at 15%, showing the value of ongoing peer exchange for sharing experiences and practical insights. Industry publications account for 7%, suggesting formal reading supports awareness rather than driving it. Online learning platforms sit close behind at 6%, reflecting targeted use of courses and updates when specific skills are needed.

Classroom experimentation appears at 1%, indicating that while hands-on testing matters, it is rarely the primary way educators keep up with modern practice.

How Does Evidence from Professional Development Research Inform STEM Learning?

Research into effective teacher professional development has increasingly focused on identifying which approaches lead to meaningful changes in classroom practice. A recent paper published by the Research Partnership for Professional Learning and authored by researchers at Harvard Graduate School of Education and Brown University examined the professional development literature to understand what works in the field of PD—and, just as importantly, what does not.

The analysis found that professional development is most effective when it centers on instructional practice rather than abstract theory or content knowledge alone. PD experiences that focus on how teaching strategies are implemented in real classrooms are more likely to influence teacher decision-making and instructional confidence.

The research also highlights the importance of providing concrete materials and opportunities for practice. Professional learning that includes examples, demonstrations, and ready-to-use resources helps educators translate ideas into action, reducing barriers to implementation. Rather than emphasizing broad concepts, effective PD supports teachers in seeing how strategies function within the constraints of their own classrooms.

In addition, the findings point to the value of sustained learning structures. Follow-up sessions, peer collaboration, and opportunities to reflect on classroom implementation strengthen the impact of initial professional learning experiences. When PD is treated as an ongoing process rather than a one-time event, educators are more likely to adapt and refine new approaches over time.

Together, these insights from professional development research align closely with the patterns observed in this report. STEM educators consistently value hands-on learning, collaborative environments, practical guidance, and opportunities to engage with ideas through experience. The convergence of these findings suggests that effective STEM professional learning is most successful when it is grounded in practice, supported through collaboration, and designed to translate directly into classroom instruction.

Why Do Live STEM Events and Conferences Remain Effective?

Live STEM events and conferences continue to play a central role in professional learning because they offer experiences that are difficult to replicate through independent study. In these environments, educators are able to observe instructional approaches in action, engage with demonstrations directly, and see how ideas translate into practice in real time.

Shared experiences are a defining feature of effective STEM events. When educators participate in hands-on activities alongside peers, they develop common reference points that support discussion, reflection, and adaptation. These shared moments make it easier to evaluate whether an approach will work in a specific classroom context.

Live events also support learning through modeling rather than explanation alone. Seeing instructional strategies demonstrated allows educators to notice pacing, questioning techniques, classroom management decisions, and learner responses as they unfold. This observational learning helps reduce uncertainty and increases confidence in applying new ideas.

The strong reliance on STEM events identified in this analysis reflects the value educators place on experiential learning environments. Conferences and workshops function not only as sources of new ideas, but as spaces where instructional practices can be tested, refined, and understood through direct participation.

What Influences Your Interest in Attending STEM Events or Conferences?

Teaching inspiration influences 32% of STEM educators’ interest in attending events and conferences

Attendance decisions highlight a balance of professional and practical considerations:

Interest in attending STEM events or conferences is influenced by a mix of professional motivation and practical value. Teaching inspiration plays a leading role, with 9% of STEM educators citing it as a major influence, 23% as somewhat influential, and 6% saying it is not a big factor, emphasizing that many educators attend events to refresh ideas and energy. Access to demonstrations follows, rated a major influence by 5%, somewhat influential by 19%, and not a big factor by 4%, showing the appeal of seeing approaches in action.

Networking with educators is a major influence for 9% and somewhat influential for 17%, with less than 1% saying it is not a big factor, pointing to the value of peer connection. Classroom strategy development registers more narrowly at 1% major influence and 5% somewhat influential, suggesting structured takeaways matter most to a smaller group with specific planning needs.

Exposure to new ideas appears selectively, with 2% citing it as a major influence, less than 1% as somewhat influential, and less than 1% as not a big factor, indicating curiosity alone is rarely the deciding factor for attendance.

How Does Scale of Implementation Influence STEM Teaching Confidence?

Across STEM learning environments, instructional approaches that are tested, refined, and delivered at scale tend to gain greater trust among educators. When strategies are observed repeatedly across classrooms, workshops, and professional development settings, educators are more likely to view them as reliable and adaptable rather than situational.

Scale of implementation supports consistency. Seeing similar approaches succeed across different age groups, subjects, and teaching contexts helps educators assess how strategies might translate into their own classrooms. This repeated exposure reduces uncertainty and increases willingness to adopt new instructional methods.

Large-scale STEM experiences also provide opportunities for refinement. Approaches that are delivered across many settings are continuously adjusted based on educator feedback, learner response, and practical constraints. Over time, this process strengthens instructional clarity and usability.

The findings in this analysis align with how educators evaluate instructional approaches in practice. Strategies that demonstrate effectiveness across multiple environments are more likely to be sustained, shared, and integrated into long-term teaching frameworks, reinforcing the role of scale as a factor in instructional decision-making.

What Type of Support Strengthens Your Work as an Educator?

30% of STEM educators say that teaching guidance is an essential support for strengthening their work as educators

What provides direction matters more than what simply adds resources:

The type of support that strengthens educators’ work most often centers on teaching guidance. For 30% of our audience, this is essential support, with 2% finding it helpful and 5% somewhat useful, showing how clear direction supports consistency in STEM instruction. This sits alongside broader thinking that consistent collaboration among teachers supports effective, aligned STEM-based learning instruction.

Mentorship follows closely, rated essential by 25%, helpful by 4%, and somewhat useful by 1%, reflecting the value placed on experience-sharing and ongoing professional exchange. Skill building also plays a role, with 14% calling it essential, 3% helpful, less than 1% somewhat useful, and 1% not helpful, suggesting development is most effective when it addresses immediate classroom needs. Access to materials is essential for 12%, pointing to reliance on ready-to-use resources that reduce preparation time.

Peer collaboration appears on a much smaller scale, with 1% citing it as essential and less than 1% helpful. This is interesting given the prevailing view that ongoing collaboration strengthens STEM instruction.

What Industry Do You Primarily Work In?

55% of STEM educators primarily work in education

STEM work spans a mix of formal and informal settings:

The industries in which the STEM educators in our audience primarily work sit within a wider STEM landscape that is highly valued. In 2024, the median annual wage for STEM occupations reached $103,580, compared with $48,000 for non-STEM roles, speaking to the broader economic importance placed on STEM skills. Within that context, education accounts for 55% of our audience, positioning formal teaching as the primary setting for STEM work.

Science centers follow at 25%, highlighting the role of informal learning environments. Youth programs represent 11%, pointing to early engagement efforts, while after-school learning and community outreach each stand at 4%, reflecting smaller but focused efforts to extend STEM access beyond traditional classrooms.

Which US City Are You Located In?

32% of STEM educators are located in Boston

Location patterns point to a strong presence in a few key urban centers:

The US cities where the STEM educators in our audience are located are concentrated in a small number of major hubs. Boston accounts for 32%, closely followed by Seattle at 31% and New York at 30%, showing a strong presence in cities with long-standing ties to education, research, and innovation.

These locations offer proximity to universities, cultural institutions, and professional networks that support STEM teaching and outreach. Austin represents 7% of the audience, reflecting a smaller but growing base connected to technology and education-focused work.

How Do These Insights Translate into STEM Practice?

Taken together, the findings in this report highlight consistent patterns in how STEM educators design learning experiences, evaluate new ideas, and sustain engagement over time. Across teaching environments, approaches that prioritize curiosity, hands-on interaction, and shared learning experiences continue to shape instructional decisions.

These insights point toward instructional models that move beyond information delivery alone. Educators are drawn to practices that can be experienced, observed, and adapted rather than simply described. Demonstrations, collaborative activities, and real-world scenarios serve as entry points that make complex ideas more accessible and meaningful for learners.

The emphasis on professional learning through live events, workshops, and peer interaction reflects a broader preference for applied guidance. Educators seek opportunities to see strategies modeled, to understand how they function in real settings, and to assess how they can be transferred into their own classrooms. This reinforces the value of professional development formats that balance inspiration with practical application.

As expectations for STEM education continue to evolve, the insights captured here offer a reference point for understanding what educators value and why certain approaches persist. Instructional practices that combine engagement, clarity, and real-world relevance are more likely to support sustained learning and long-term confidence among both educators and learners.

What Do These Findings Mean for STEM Leaders and Decision Makers?

Beyond classroom practice, the patterns identified in this report carry important implications for those responsible for planning, selecting, and supporting STEM initiatives. School leaders, professional development coordinators, and program designers play a critical role in shaping the conditions under which STEM instruction is implemented and sustained.

The emphasis educators place on engagement, hands-on learning, and practical application suggests that decisions about STEM programming are most effective when they prioritize instructional experiences over informational delivery alone. Initiatives that allow educators to observe, participate in, and reflect on learning strategies are more likely to support consistent classroom adoption.

These findings also highlight the importance of coherence in professional learning systems. When instructional approaches align across workshops, conferences, and ongoing support structures, educators are better able to integrate new strategies into existing practices. Fragmented or isolated initiatives, by contrast, are less likely to result in lasting instructional change.

For decision makers, the data underscores the value of investing in STEM learning models that are adaptable, experience-led, and grounded in real classroom conditions. Supporting professional learning formats that emphasize modeling, collaboration, and transferability can help ensure that instructional investments translate into meaningful learning outcomes for both educators and students.

What is the Current and Future State of STEM Education?

Taken together, these findings offer a grounded view of how STEM education is practiced, shaped, and sustained today. Drawing on the perspectives of more than one million STEM educators over the past year, the data highlights where priorities sit, how decisions are made, and what continues to matter most in classrooms and learning spaces across the United States.

These priorities are unfolding within a broader context of increasing pressure on STEM education systems. National research continues to point to persistent teacher staffing and certification challenges across the United States, including widespread vacancies and educators teaching outside their primary certification areas. These conditions heighten the need for instructional approaches that are practical, adaptable, and effective within real classroom constraints.

The findings also align with established STEM education research that identifies real-world problem contexts as a defining feature of effective STEM learning. Integrating authentic scenarios helps learners connect abstract concepts to meaningful applications, reinforcing why educators consistently favor approaches that make learning feel relevant and usable.

The strong emphasis on hands-on learning reflected throughout this report mirrors research on long-term STEM participation, which links experiential learning and laboratory-based experiences to sustained interest and deeper understanding. Together, these insights suggest that engagement-focused, experience-led instruction remains central to both current practice and the future direction of STEM education.

About The Data

Sourced using Artios from an independent sample of 1,175,517 opinions of STEM educators in the US across X, Quora, Reddit, Bluesky, TikTok, and Threads. Responses are collected within a 95% confidence interval and 5% margin of error. Results are derived from what people describe online, from opinions expressed, and not actual questions answered by people in the sample.  

Sources and References

The findings and interpretations in this report align with a broad body of established research on STEM instruction, engagement, and professional learning. The sources below reflect widely cited studies and institutional research that support experience-led, engagement-focused approaches to teaching and professional development.

STEM Instruction, Engagement, and Learning Design

National Academies of Sciences, Engineering, and Medicine. Successful K–12 STEM Education: Identifying Effective Approaches in Science, Technology, Engineering, and Mathematics.
https://www.nationalacademies.org/our-work/successful-k-12-stem-education

National Research Council. A Framework for K–12 Science Education: Practices, Crosscutting Concepts, and Core Ideas.
https://nap.nationalacademies.org/catalog/13165

Freeman, S. et al. Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences.
https://www.pnas.org/doi/10.1073/pnas.1319030111

Experience-led and Hands-on Learning

Kolb, D. Experiential Learning: Experience as the Source of Learning and Development.
https://learningfromexperience.com

Prince, M. Does active learning work? A review of the research. Journal of Engineering Education.
https://onlinelibrary.wiley.com

National Science Teaching Association. Position Statement on Active Learning in Science.
https://www.nsta.org

Professional Development and Teacher Learning

Research Partnership for Professional Learning. What Works in Professional Development.
Harvard Graduate School of Education and Brown University.
https://rppl.education.harvard.edu

Education Week. What Works—and What Doesn’t—in Teacher Professional Development.
https://www.edweek.org/leadership/what-works-and-what-doesnt-in-teacher-pd/2022/10

Darling-Hammond, L. et al. Effective Teacher Professional Development. Learning Policy Institute.
https://learningpolicyinstitute.org

Demonstrations, Modeling, and Instructional Practice

Hattie, J. Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement.
https://visible-learning.org

Ambrose, S. et al. How Learning Works: Seven Research-Based Principles for Smart Teaching.
https://www.josseybass.com

Cognitive Load and Learning Science

Sweller, J. Cognitive Load Theory.
https://link.springer.com

Mayer, R. Multimedia Learning.
https://www.cambridge.org

Paas, F., Renkl, A., and Sweller, J. Cognitive load theory and instructional design. Educational Psychology Review.
https://link.springer.com

Equity, Access, and Inclusive STEM Learning

National Science Foundation. Broadening Participation in STEM.
https://www.nsf.gov

National Academies of Sciences, Engineering, and Medicine. Equity in K–12 STEM Education.
https://nap.nationalacademies.org

Lee, O. et al. Science and language for English learners. Educational Researcher.
https://journals.sagepub.com

STEM Events, Professional Learning Communities, and Scale

Guskey, T. Evaluating Professional Development.
https://www.corwin.com

Wenger, E. Communities of Practice: Learning, Meaning, and Identity.
https://wenger-trayner.com

Learning Policy Institute. Teacher Learning and Professional Communities.
https://learningpolicyinstitute.org

Related Practitioner Perspectives

Spangler, S. The Engagement Effect: Cultivating Experiences That Ignite Connection, Build Trust, and Inspire Action. Forefront Books, 2025.

This work synthesizes insights from classroom instruction, large-scale STEM professional development, and media-based science communication to examine engagement as an intentional design choice. It offers a practitioner-focused framework that complements the research summarized in this report by translating engagement principles into applied instructional practice.