Overview: College and high school coaches have always adjusted their teaching on the fly. Now, AI is making personalized instruction scalable in ways that weren’t possible before. Programs embracing this shift aren’t just developing better players they’re changing how the game is taught.
Details:
A 2023 VARK survey found that more than 48% of people prefer to learn visually. One high level college program has taken that seriously, integrating film six to seven times during practice to reinforce strategy and execution in real time and not just during a film session the night before.
But learning style is only part of the picture. About 15% of high school students have learning differences that traditional coaching methods weren’t designed to support. AI changes that equation. Whether it’s pre-practice preparation or a key in-game adjustment, AI tools can help coaches deliver the same concept multiple ways such as visually, verbally, and interactively all without slowing practice down.
Another overlooked factor is dominant eye. Research suggests a player’s dominant eye can influence shooting alignment, passing accuracy, and court vision. A left eye dominant player shooting right handed may be fighting their own visual wiring on every rep yet most programs never assess it. AI powered LLMs can quickly help educate and eventually plan better for performance in practice and games.
Language is another quiet limiter. At IMG Academy 32% of our student athletes are international. Ask a player what language they learn best in and the answer may surprise you. AI powered platforms can deliver coaching cues and film breakdowns translations. Development plans in a player’s preferred language removes a barriers that has delayed development for years.
Why it Matters:
The best coaches have always known not every player learns the same way. AI finally gives us tools to act on that reality at scale. Programs that personalize instruction across learning style, learning differences, and language will develop players faster and retain them longer.
Pro Workflow Guide: How To Build a Basketball Athlete Learning Survey (Microsoft Forms)
✅ Step 1: Use ChatGPT Thinking Mode to context-engineer a prompt for Agent Mode
Agent Mode Prompt (ready to use):
Create a Microsoft 365 Forms survey for basketball athletes (10 questions total) that helps coaches personalize instruction. The survey must cover:
Preferred learning style (visual / auditory / reading-writing / kinesthetic)
Preferred language for learning/coaching cues
Dominant eye and whether it affects shooting/passing comfort
Learning differences or accommodations that help the athlete learn best
Requirements:
Exactly 10 questions.
Mix of multiple choice, rating/scale, and short answer.
Athlete friendly wording (grades 7–12 readability).
Include an optional, respectfully worded question about learning differences/accommodations (do not require disclosure of a diagnosis).
Include a brief intro explaining the purpose: to coach them better and tailor communication.
For each question, suggest the Microsoft Forms question type, answer options, and whether it should be required.
Output should be formatted so it can be copied directly into Microsoft Forms with minimal edits.
✅ Step 2: Switch to Agent Mode and Build it in Microsoft Forms
• Switch to ChatGPT Agent Mode
• Paste the prompt
• Sign into Microsoft 365 when asked
• Review the finished Form and make minor edits (branding, sport-specific language, required fields)