I have spent enough time around firearms instructors to know that criticism of instructor development can become unnecessarily adversarial very quickly. Suggest that a traditional instructor school leaves something out and some people hear an attack on the school, the certifying organization or the instructor who graduated from it. That is not the argument I am making. Method of Instruction programs, firearms instructor certifications and agency instructor-development courses serve indispensable purposes. They create standards, establish safety expectations, teach lesson organization and range management, reinforce technical doctrine and administrative requirements, and provide methods for presenting material coherently. In a profession involving loaded firearms, legal exposure and potentially catastrophic errors, those functions are not peripheral. They are foundational. 

The problem arises when we ask those programs to prove something they were never designed to prove. Completing an instructor certification establishes that a person has satisfied the requirements of that certification. It does not necessarily establish that the person understands how procedural memories form, why working memory becomes overloaded, how feedback can help or hinder acquisition, why performance during practice can misrepresent learning, how skills consolidate after training, what promotes transfer, or how acute stress alters perception, attention and skilled movement. Those are different questions arising from different bodies of science. 

That distinction became increasingly important to me while writing Unlocking the Brain Code. I eventually summarized it this way: “The limitation emerges not from what these programs accomplish, but from what they were never designed to address” (Hanson, 2026). That sentence captures the central argument. The problem is not that Method of Instruction, or MOI, fails. The problem is believing that MOI represents the finish line of instructor education when it may be better understood as one important starting point. 

Traditional instructor development understandably emphasizes what instructors must do, including developing objectives, structuring lessons, demonstrating techniques, communicating clearly, controlling the learning environment, evaluating performance, correcting errors, maintaining safety, and documenting completion. Those competencies are essential, but learning science asks a different series of questions about what is happening inside the learner while all of that is occurring, what information is competing for limited attentional resources, what is being encoded, what is merely being held temporarily in working memory, what is becoming proceduralized, what will remain accessible tomorrow or six months from now, and what will survive when the context changes. Those are not academic distinctions when we are teaching someone to use a firearm pdrofessionally. 

Performance Is Not the Same as Learning

A student can look very good at 3 p.m. on the training range and still possess a fragile skill. This is one of the most important distinctions in the entire learning-science literature. Nicholas Soderstrom and Robert Bjork describe performance during acquisition as an unreliable indicator of the relatively permanent changes that constitute learning. Conditions that make practice look smooth can sometimes produce poorer retention, while conditions that create difficulty and temporarily degrade practice performance can strengthen subsequent learning (Soderstrom & Bjork, 2015). That should fundamentally alter the way firearms instructors interpret what they see. 

Consider a recruit learning a drawstroke. The recruit receives a demonstration and begins practicing while the instructor provides frequent corrections. The repetitions remain identical, target position and distance remain constant, commands are predictable, and the recruit knows exactly when the exercise will begin and exactly what will be required. After enough repetitions, performance becomes visibly smoother, draw time decreases and hits tighten. The instructor sees improvement and, quite reasonably, concludes that learning has occurred. Genuine learning may indeed have occurred, but the observation alone cannot tell us how durable or adaptable that learning actually is. 

Some of what we are seeing may be genuine skill acquisition, while some may be temporary adaptation to a highly stable practice environment, short-term memory for the instructor's most recent correction, or dependence on cues that will disappear outside the lesson. The only way to begin separating those possibilities is to examine retention and transfer rather than acquisition performance alone. 

This is where learning science starts asking uncomfortable but useful questions. Can the recruit perform the skill after a delay and without the instructor's prompts? Can the recruit select the correct response when several responses are possible? Can the movement adapt when the officer is seated, moving, working around equipment or responding to an unexpected environmental constraint? Can the recruit recognize when drawing the firearm is not the appropriate response? A timer and a target cannot answer all of those questions. 

Motor-learning research has long demonstrated that practice conditions influence learning, and that the appropriate difficulty of those conditions depends partly on the learner's existing skill and the complexity of the task. Guadagnoli and Lee's challenge-point framework, for example, proposes that the informational value of practice depends on the relationship between task difficulty and performer ability (Guadagnoli & Lee, 2004). Too little challenge may provide insufficient information for adaptation, while too much can exceed the learner's capacity to process what is happening. Effective instruction therefore requires more than making drills progressively harder; it requires regulating difficulty according to what the learner can productively process. 

Managing Cognitive Load on the Range

This becomes immediately relevant on a firearms range. A novice struggling to establish a safe, functional grip while simultaneously processing muzzle orientation, trigger-finger discipline, sight information, instructor commands, recoil, target feedback and unfamiliar equipment is not simply a slower version of an expert. The novice is operating under substantially different cognitive constraints. Adding movement, decision-making, time pressure and complex verbal instructions because we want the training to become “realistic” may not accelerate learning at all; we may simply exceed the learner's available processing capacity. The inverse error is equally problematic because, once the shooter becomes comfortable, never changing the conditions can transform practice into an exercise in solving a problem whose answer is already known. 

This is why an instructor needs some understanding of working memory, attentional control and cognitive load. Without it, a struggling learner can easily be interpreted as unmotivated, mechanically deficient or insufficiently practiced when the underlying problem is instructional overload. More repetitions do not automatically solve overload and may simply produce more repetitions of confusion. 

James Zull's work on adult learning makes a related point. Learning is not synonymous with collecting information. Sensory input must be associated, interpreted, connected to previous knowledge, incorporated into planning and ultimately expressed through action. He describes learning as involving gathering, reflection, creation and testing, rather than information exposure alone (Zull, 2006). The practical implication for a firearms instructor is significant because explaining something correctly does not guarantee that the learner has constructed a usable representation of it. 

That difference can be obscured by good presentation skills. A polished instructor can communicate clearly enough that students feel as though they understand. The instructor can produce attractive slides, memorable acronyms and an orderly demonstration, while students can nod in agreement and repeat terminology correctly. None of this is worthless because clear communication reduces unnecessary confusion, but comprehension of an explanation and possession of a motor capability are not interchangeable outcomes. 

Firearms instruction sits at the intersection of cognitive, perceptual and motor learning. Police officers do not merely need to remember how a technique was described. They must perceive relevant information, distinguish meaningful cues from noise, select an appropriate response and execute coordinated movement, frequently under severe time pressure and uncertainty. Di Nota and Huhta describe police skills as integrating sensory, motor and cognitive functioning, including situational awareness and decision-making rather than treating physical action as an isolated motor product (Di Nota & Huhta, 2019). That is considerably more complicated than teaching somebody the steps of a drill. 

A classic example is the emergency reload. I can teach a shooter a mechanically efficient reload sequence on a square range and have the shooter repeat it until the procedure becomes faster and more fluid. That is legitimate skill development. But if every repetition begins after the shooter deliberately fires the weapon empty, immediately recognizes the predictable condition and performs the same response, I may also be teaching a tightly coupled stimulus-response sequence that depends heavily on the artificial structure of the drill. 

Operationally, the officer's problem is broader because something has changed, the gun may have stopped firing, and the shooter must perceive that change, determine why it occurred, select among possible corrective actions and continue solving the larger tactical problem. If I remove perception and diagnosis from training, I should be cautious about claiming that I have trained the whole capability simply because the reload itself looks excellent. 

Research involving non-anticipatory shooting tasks illustrates why variability and decision processing deserve greater attention. Smith and Boolani noted that much firearms training remains highly anticipatory and argued that shooters also require decision processing, response inhibition and adaptation to uncertain target presentations, not accuracy alone (Smith & Boolani, 2024). Their small feasibility study should not be treated as definitive proof of a particular training system, but the underlying training question is valuable: What exactly has the learner become good at predicting? An instructor educated only in delivery mechanics may never have been taught to ask that question. 

When Feedback Becomes a Crutch

Feedback creates another example. Instructors naturally want to help, so we talk, identify errors and tell students what to correct, sometimes repeatedly. Immediate feedback can unquestionably assist early acquisition, but motor-learning research demonstrates that the amount, timing and focus of feedback influence learning. Research has also repeatedly examined the effects of attentional focus, observational practice, learner control and feedback structure on motor learning (Wulf, Shea, & Lewthwaite, 2010). A substantial body of research also indicates advantages associated with directing attention toward the intended effects of movement rather than continually directing attention inward toward body mechanics (Wulf & Prinz, 2001). 

This does not mean that an instructor should never discuss grip pressure, wrist position, trigger movement or physical mechanics. It means that cueing is an instructional intervention, not merely commentary. The question is not simply whether the correction is technically accurate, but whether the timing, quantity and attentional consequence of the correction supports the learner's eventual independence. 

An instructor who corrects every repetition may produce a student who performs beautifully while the instructor is present, yet performance can deteriorate once the instructor is removed because the learner never developed sufficient error-detection capability. Motor-learning research has repeatedly demonstrated this risk through what is commonly described as the guidance hypothesis: augmented feedback may improve immediate performance while simultaneously encouraging dependence on that feedback when it is provided too frequently or too continuously (Lee et al., 1990; Winstein et al., 1994; Park et al., 2000). In that circumstance, the instructor has unintentionally become part of the student's control system, making the deficiency fundamentally a learning-design problem rather than a presentation problem. NeuralTac addresses this problem explicitly by guiding participants in its framework training to establish closed-loop feedback systems that progressively require learners to detect, interpret and correct their own performance errors rather than remaining dependent on continuous instructor intervention. This approach is consistent with research showing that reduced, faded and learner-controlled feedback can strengthen retention, transfer and reliance on intrinsic error-detection processes once external feedback is withdrawn (Chiviacowsky & Wulf, 2002, 2005; Butki & Hoffman, 2003). The objective is therefore not to remove feedback, but to deliberately change its function over time so that responsibility for detecting and correcting error increasingly shifts from the instructor to the learner's own perceptual, cognitive and performance-monitoring processes. 

Sress exposes the distinction even more clearly. Police officers are expected to perform complex skills under conditions radically different from a qualification range. Acute stress can influence working memory, attentional control, decision-making, communication and motor execution. Arble, Daugherty and Arnetz found that physiological arousal affected domains of performance differently in a simulated critical incident, with communication showing particular vulnerability while well-rehearsed tactical behaviors appeared more resilient (Arble et al., 2019). Anderson and colleagues similarly concluded that high acute stress can degrade skilled motor performance and that evidence-informed training may mitigate some of that degradation (Anderson et al., 2019), but those findings do not mean we should simply make training stressful. 

This is another place where learning science protects us from simplistic solutions. Making a shooter run until exhausted and then ordering the shooter to fire may elevate heart rate, but physiological exertion is not equivalent to threat appraisal, uncertainty, perceptual ambiguity and the possibility of consequential harm, all of which can be encompassed within a genuine threat mindset. Real police encounters combine physical and psychological variables in ways that cannot be reproduced by fatigue alone. Field research has shown that police physiological responses vary according to factors such as call phase, priority, weapons, arrests and use of force, and that psychological demands can contribute independently of physical movement (Baldwin et al., 2019). 

The Next Step in Instructor Development

The learning-science question therefore becomes more precise: What adaptations are we trying to produce, and what training conditions are necessary to produce them without overwhelming the learner or creating unsafe practice? This is where I believe NeuralTac belongs in instructor development. NeuralTac is not intended to certify someone as a firearms instructor and does not replace the foundational functions of recognized instructor programs, nor should it. I stated the relationship plainly in Unlocking the Brain Code: “NeuralTac does not compete with existing certification programs. It completes them” (Hanson, 2026). 

That distinction is deliberate because an instructor certification establishes the operational foundation while NeuralTac adds another analytical layer by asking instructors to examine acquisition, cognitive load, attention, feedback, consolidation, retrieval, transfer, contextual variability, stress modulation, perceptual discrimination and decision-making. It shifts some of the instructor's attention away from asking only, “Did the student perform the technique correctly?” and toward asking, “What does this performance actually demonstrate about learning?” 

Those questions lead to different instructional decisions. If a shooter performs well after 40 identical repetitions, I may introduce variability rather than immediately congratulate myself on mastery. If performance deteriorates when prompts disappear, I may reduce feedback rather than provide more of it. If a novice is falling apart after I add movement, verbal commands, target discrimination and time pressure simultaneously, I may remove variables and rebuild complexity rather than labeling the shooter deficient. If a highly experienced shooter dominates a predictable drill but struggles when target appearance and response requirements become uncertain, I may investigate perceptual and decision components rather than simply demand greater speed. In this way, the instructor becomes less of a dispenser of corrections and more of a diagnostician of learning. 

This also requires humility because technical expertise can itself interfere with instruction. Zhang, Harrington and Sherf describe how expertise and the self-efficacy accompanying it can contribute to cognitive entrenchment and reduced perspective-taking. Experts may underestimate novice difficulty, communicate at an overly abstract level or become less receptive to outside feedback (Zhang et al., 2022). That phenomenon should be particularly interesting to firearms instructors because our industry frequently treats technical performance as evidence of instructional authority, even though a highly skilled shooter may have forgotten what it felt like not to know.

Movements that now seem obvious were once cognitively demanding, and visual information that an expert recognizes almost instantly may be meaningless to the novice. An instructor whose grip, drawstroke and visual processing have become highly automated can unintentionally give five simultaneous corrections because each one feels simple. To the instructor they are simple, but to the learner they may represent five competing processing demands arriving before any one of them has been stabilized. MOI can teach that instructor how to explain those corrections professionally, while learning science helps the instructor decide whether all five should be given at all. 

That is why I resist describing NeuralTac as an alternative certification system. The firearms-training profession does not need to tear down its instructor schools; it needs to continue building upon them. Safety management, technical competence, curriculum organization and professional presentation all remain essential, but the error comes from assuming that because these competencies are necessary, they are also sufficient. The next stage of instructor development should therefore move beyond teaching instructors how to present knowledge and begin teaching them how to interrogate learning. 

What changed in the learner? What evidence demonstrates that the change persisted? Can the learner retrieve the skill after time has passed? Can the skill survive altered conditions? Can the learner recognize when to use it, when to modify it and when not to use it at all? How does stress alter access to the capability? What part of the performance is procedural, what part remains cognitively expensive and what part depends on cues that may disappear outside training? Those are harder questions than whether a lesson plan contains measurable objectives or whether the instructor maintained eye contact with the class, and they become increasingly difficult to ignore when the skill being taught may someday be required during the worst several seconds of another person's life. 

Instructor certification tells us that somebody has crossed an important professional threshold, and we should respect that threshold without confusing it with the end of the journey. The modern firearms instructor needs technical competence, safety expertise and communication skills, but the instructor also needs some working understanding of the human system being trained. We would never accept an armorer who understood how to describe a pistol but knew little about how its internal components functioned, yet we sometimes accept an instructional model in which the instructor understands what technique should look like while receiving comparatively little education about the cognitive and neurophysiological processes that allow the learner to acquire, retain and retrieve it. 

That gap is fixable without asking MOI to become something it was never intended to be. Instructor certification should continue accomplishing the job it was designed to accomplish, while the profession changes its assumption that certification completes instructor development. It does not; it establishes a foundation upon which deeper expertise can be constructed. 

The future of professional firearms instruction is not found in choosing between traditional instructor education and learning science, but in joining them. When we combine the safety, structure and technical standards of established certification with evidence from motor learning, cognitive psychology, neuroscience, decision science and human-performance research, we move closer to training instructors who understand not merely how to deliver curriculum, but how to create durable capability. That is the distinction NeuralTac is intended to address. It adds no mystical technique and promises no universal drill. It simply forces us to examine the element instructor development has historically had the least reason to study: the learner. Once we begin there, the definition of a qualified instructor becomes considerably more demanding and considerably more useful. 

References 

Anderson, G. S., Di Nota, P. M., Metz, G. A. S., & Andersen, J. P. (2019). The impact of acute stress physiology on skilled motor performance: Implications for policing. Frontiers in Psychology, 10, 2501. https://doi.org/10.3389/fpsyg.2019.02501 

Arble, E., Daugherty, A. M., & Arnetz, B. (2019). Differential effects of physiological arousal following acute stress on police officer performance in a simulated critical incident. Frontiers in Psychology, 10, 759. https://doi.org/10.3389/fpsyg.2019.00759/

Baldwin, S., Bennell, C., Andersen, J. P., Semple, T., & Jenkins, B. (2019). Stress-activity mapping: Physiological responses during general duty police encounters. Frontiers in Psychology, 10, 2216. https://doi.org/10.3389/fpsyg.2019.02216 

Chiviacowsky, S., & Wulf, G. (2002). Self-controlled feedback: Does it enhance learning because performers get feedback when they need it? Research Quarterly for Exercise and Sport, 73(4), 408-415. https://doi.org/10.1080/02701367.2002.10609040 PubMed 

Chiviacowsky, S., & Wulf, G. (2005). Self-controlled feedback is effective if it is based on the learner's performance. Research Quarterly for Exercise and Sport, 76(1), 42-48. https://doi.org/10.1080/02701367.2005.10599260 PubMed 

Di Nota, P. M., & Huhta, J. M. (2019). Complex motor learning and police training: Applied, cognitive, and clinical perspectives. Frontiers in Psychology, 10, 1797. https://doi.org/10.3389/fpsyg.2019.01797 

Guadagnoli, M. A., & Lee, T. D. (2004). Challenge point: A framework for conceptualizing the effects of various practice conditions in motor learning. Journal of Motor Behavior, 36(2), 212-224. https://doi.org/10.3200/JMBR.36.2.212-224 

Hanson, K. A. (2026). Unlocking the brain code: Exposing the limits of traditional firearms instruction and high-liability training through neuroscience, psychology, and human performance research. Applied Threat Science Publications. 

Park, J. H., Shea, C. H., & Wright, D. L. (2000). Reduced-frequency concurrent and terminal feedback: A test of the guidance hypothesis. Journal of Motor Behavior, 32(3), 287-296. https://doi.org/10.1080/00222890009601379 

Smith, M. L., & Boolani, A. (2024). Feasibility of a non-anticipatory, random-action target system to improve shooting performance: A brief field trial. Sports, 12(11), 305. https://doi.org/10.3390/sports12110305 

Soderstrom, N. C., & Bjork, R. A. (2015). Learning versus performance: An integrative review. Perspectives on Psychological Science, 10(2), 176-199. https://doi.org/10.1177/1745691615569000