Dillon Ray Martinez
@DillonMartinez
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Dr. Dillon Martinez, Ed.D Professor of Physical Education and Sport Science at Winona State University Col 3:23
Joined August 2011
Excited about this one. It's the first in a two-part series on teaching sprinting as a specialized skill. Grounded in research, but honed through practice. Please let me know what you think! Thanks @simplifaster
https://t.co/4acoIRyDgj
simplifaster.com
In part one, Dillon Martinez covers how proper sprinting mechanics reduce injury risk, unlock true speed, and build athlete confidence. Through research and personal experience, Dr. Martinez shows...
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For busy coaches, AI tools can speed up workflows, enhance productivity and provide an added resource for program analysis. These technologies are great, but can have limitations in terms of providing too general responses or even incorrect information at times. Coach
simplifaster.com
For busy coaches, AI tools can speed workflows, enhance productivity, and provide an added resource for rapid analysis. The technologies can, however, have limitations in terms of providing too...
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This doesn't mean abandoning instruction—it means structuring environments where correct solutions emerge naturally through systematic constraint manipulation.
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Athletes who discover movement solutions through guided constraints remember them better and transfer them more effectively than those given explicit instructions.
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The generation effect demonstrates that self-produced solutions create stronger memory traces than instructor-provided answers. Guide discovery rather than eliminate thinking.
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When part-practice is appropriate, progressive part-practice that gradually combines components works better than isolated drilling (Christina & Corcos, 1988).
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AI biomechanical analysis can identify which skill components are independent versus interdependent, guiding part-whole practice decisions objectively.
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Most complex sports skills require whole-practice approaches because timing relationships between components are essential for performance effectiveness.
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Part-practice methods work for skills with independent components but interfere with skills requiring integrated timing. Task analysis determines optimal practice structure.
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The key is directing attention to relevant information while filtering irrelevant details that create cognitive overload during observation (Bandura, 1977).
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Random video exposure without guided observation produces minimal learning gains. Structured observation protocols with specific attention directions maximize modeling effects.
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Random video exposure without guided observation produces minimal learning gains. Structured observation protocols with specific attention directions maximize modeling effects.
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Observational learning requires attention to critical features, not global movement patterns. Athletes need to know what to watch, not just watch repeatedly.
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Thomas Sowell said, "When you want to help someone, you'll tell them the truth. When you want to help yourself, you'll tell them what they want to hear."
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I love this.
As Kenny Powers once said, “the goal of an athlete is not to be the best at exercising.” Keep the main thing, the main thing. Too often coaches forget why athletes train in the first place…it’s to improve their output and expression in the movements that actually matter on
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Research demonstrates that mental practice effectiveness correlates with imagery ability and task-specific experience levels (Weinberg & Gould, 2019).
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Mental practice works best when combined with physical practice, not as a replacement. The ratio depends on skill complexity and individual learning preferences.
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AI-powered virtual reality can create precisely controlled mental practice environments with biometric feedback showing neural activation patterns during visualization.
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Generic visualization fails because it lacks the temporal and spatial precision of real performance. Effective mental practice requires systematic structure and measurable outcomes.
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Mental practice activates similar neural pathways as physical practice without fatigue or injury risk. Visualization protocols should match the specificity and timing of actual performance demands.
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