The opening module. Invites learners to rethink what intelligence is and begin to understand it as something relational — not just individual or mechanical. Introduces multiple types of intelligence and begins to soften the assumption that intelligence equals IQ or grades.

Learning objectives

By the end of this module, learners will:

  • Broaden their definition of intelligence beyond grades or IQ
  • Recognise intelligence in systems, relationships, and machines
  • Reflect on where they locate intelligence in themselves and others
  • Begin to prepare for deeper conversations with AI

The four types of intelligence (introduced)

The module surfaces four distinct kinds of intelligence as a working frame:

  • Cognitive intelligence — the kind schools usually measure
  • Emotional intelligence — sensing, naming, regulating, and relating to feeling
  • Machine intelligence — pattern-matching at scale; correlation; prediction
  • Relational intelligence — what arises between — between people, between humans and machines, between question and answer

The point of the typology isn’t taxonomic precision; it’s permission. Learners are invited to see that they may have plenty of one kind that school doesn’t measure.

Lesson flow (45–60 minutes)

  • Opener (5–10 mins): “Where does intelligence live?” — gather responses
  • Introduce the four types (10 mins): use the table; invite examples
  • Quote reflection (10 mins): “A person does not see with the soul or the spirit. Rather, the mind, which exists between these two, sees the vision.” — quiet writing, then light discussion
  • Anchoring practice (optional): “breathe and locate where you feel most awake or intelligent today”
  • Closing prompt (10 mins): “Where are you most intelligent that school doesn’t usually measure?”

Cornerstone fit

Reflection (●●●) is dominant — the module is metacognitive throughout. Connection (●●) carries the relational-intelligence framing. Creativity (●●) shows up in the willingness to hold multiple definitions at once.

Suggested evidence types

  • Reflective writing on the closing prompt
  • Drawing or symbolic representation of “where intelligence lives in me”
  • Discovery Phase conversation log on the learner’s own self-understanding

Mastery descriptors (placeholder; refine per cohort)

  • neo-foundation — engages with the question; offers initial reflection on own intelligence
  • neo-developing — distinguishes types of intelligence; identifies own strengths across the four
  • neo-extending — articulates a personal theory of relational intelligence; connects to other learning

Verse-ality alignment

This module is where identity non-capture is established as a learner-facing principle. By distinguishing relational and machine intelligence early, learners are equipped to notice when an AI system’s pattern-matching is mistaken for understanding — the precondition for everything that follows.