SYNAPSE
A four-phase model for structuring learning—with or without AI.
SYNAPSE connects cognition, motivation, and metacognition to help design more effective, empowering, and critical teaching sequences, training programs, and digital environments in the face of AI limitations.
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Sequences that teach, not just “do”
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Visible progress: quality, transfer, memorization
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Focused AI: useful, verified, without dependency
Developed by Dr. Sarah Chardonnens, PhD in Education Sciences (Switzerland) — based on research in learning sciences and the critical integration of AI.
The simple map of learning: the 4 SYNAPSE phases
SYNAPSE offers a progressive approach: activate, adjust, self-regulate, consolidate. Each phase corresponds to specific cognitive and motivational needs—and concrete pedagogical choices.
Phase 1 : SENSORY INPUT
Spark attention, curiosity, and a desire to learn. Design an introduction that engages without overstimulating.
Phase 2 : NETWORK ADAPTATION
Transforming information into understanding: comparing, organizing, correcting, explaining. This is the phase that builds depth.
Phase 4 : STORAGE & EMBODIMENT
Space out, transfer, anchor. To avoid the illusion of “I understand” and consolidate what has been learned.
Phase 3 : PARTICIPATION
Plan, check, explain, ask for help, correct yourself. Metacognition becomes a lever for autonomy.
In preparation, thank you for your patience!
With or without AI:
SYNAPSE remains the compass
AI can support certain actions (questioning, rephrasing, simulating, differentiating), but it can also undermine autonomy (copy-paste, illusions of mastery, bias, plausible errors). SYNAPSE serves as a compass: deciding when to use AI, why, and how to keep the learner engaged.
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Always require evidence of human activity (reasoning, choices, justification)
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Verify and cross-check: a fluid response is not proof
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Protect autonomy: AI supports, but does not replace, cognitive work
Who is SYNAPSE for?
Teachers
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Scripting, differentiating,
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Supporting engagement,
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Developing self-regulation, Assessing to promote progress.
Institutions
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Train in AI literacy,
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Harmonize practices,
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Equip teams,
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Integrate AI in a consistent and ethical manner.
Companies
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Onboarding,
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Skill development,
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Error reduction,
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Design of AI features that support autonomy.
results and studies conducted
SYNAPSE offers