ARTIFATHOM labs

Learning Types

No two learners are the same. But most systems treat them like they are.

At Artifathom Labs, we design AI systems that adapt not just to knowledge gaps, but to learning types. Because learning isn’t just about absorbing content—it’s about the way content is processed, interpreted, and expressed. Our Epigenetic AI framework is built to recognize, respond to, and regulate based on a learner’s dominant and emerging learning styles.

This isn’t checkbox personalization. This is cognitive mirroring—where the system reflects how the learner thinks, not just what they know.

Recognizing Learning Types

We model a range of cognitive and behavioral learning styles, including:

  • Visual-spatial learners – thrive on maps, diagrams, and placement-based recall
  • Verbal-linguistic learners – excel through story, analogy, and precise language
  • Logical-mathematical learners – prefer patterns, systems, and causality
  • Kinesthetic learners – need motion, sensation, or physical metaphor to anchor ideas
  • Intrapersonal learners – respond to self-reflection, emotional context, and autonomy
  • Interpersonal learners – thrive through dialogue, social framing, and collaboration

We also model neurodivergent traits—like sensory sensitivity, processing speed variation, and nonlinear conceptual jumps—that influence how learners access and use knowledge.

How Our System Adapts

In the Epigenetic AI model, learning type isn’t a preset—it’s detected and expressed dynamically through:

  • Response structure and timing
  • Prompt preference (visual vs. abstract, symbolic vs. literal)
  • Correction style acceptance (direct vs. exploratory)
  • Engagement with metaphor, scaffolding, or memory simulation

The system uses these cues to adjust:

  • Instructional delivery
  • Memory recall pattern
  • Confidence-building sequence
  • Scene and micro-story formats

This mirrors how an expert tutor would notice and adjust in real time.

Why It Matters

  • Gifted learners often hide their struggles behind intellectual agility
  • Neurodivergent learners are often misread by rigid systems
  • Adult learners bring bias, fatigue, and prior schema into every new concept
  • No single instructional model reaches everyone equally

Adapting to learning type isn’t about style—it’s about dignity. It’s how we honor the way someone learns best.

One Brain. Infinite Ways to Learn.

True intelligence is flexible. So our AI is too. Designed to flex, respond, and guide each learner through their own best path—not someone else’s.