Project 03 / Teaching Data

Teaching DataLearning Signals

Critique, presentation practice, and creative work become a portfolio coaching map tutors and students can discuss.

01: Teaching method
02: Learning signals
03: Creative coding

Evidence4.2x pattern recall

Critique memory

Tutor notes, reviews, and feedback become an organized timeline instead of scattered comments.

Portfolio Coaching Method

Studio evidence, made teachable.

The case study moves from raw studio traces to a teaching product: research evidence, interface logic, visual language, motion grammar, critique memory, and practice loops each become visible.

Capture

Collect learning traces from the studio.

Critique notes, speaking rehearsals, creative coding tests, and portfolio milestones enter the same evidence field.

Output / Raw signal archive

Structure

Convert evidence into readable lenses.

The system sorts raw traces into knowledge, confidence, craft, communication, and media fluency.

Output / Learning taxonomy

Model

Build a confidence field, not a final score.

The heatmap shows uncertainty, repetition, and momentum so tutors can discuss the pattern behind the number.

Output / Signal heatmap

Compose

Turn analytics into visual communication.

Lines, points, planes, glow, and motion hierarchy make the intelligence legible as a designed object.

Output / Motion interface

Return

Send the student into the next action.

The output becomes a teaching prompt, a practice challenge, or a student-facing reflection state.

Output / Studio action

Studio cohort / authority-mapped signal field

PixiJS field

Signal index

Selected signal

visual systems

83%

This prototype score is structured through OECD/PISA creative-thinking processes and UNESCO AI competency dimensions, so the visual field reads as a teaching map rather than a generic score grid.

Diverse ideasVisual expressionHuman-centredUnderstand

PISA items

Task contexts

AI competencies

Portfolio Coaching Outputs

One signal system, five outputs.

The Teaching Data interface turns feedback and practice into portfolio-ready visual languages across architecture, interaction design, visual communication, digital media, and service design.

generative field

64 signals

model cockpit

4 lenses

HMI rhythm

live feedback

Portfolio Lenses

One evidence base, five design lenses.

The same Teaching Data project can be expanded as architecture, interaction design, visual communication, digital media, and service design evidence. Each lens changes what the viewer notices first.

Active lens

A spatial cross-section of learning.

The interface acts as a sequence of steps: gathering student work, layering the evidence, and guiding the learner to their next action.

Portfolio proof

Section-like evidence layers
Site-specific studio context
Tectonic grid and node logic

Section-like evidence layers

Site-specific studio context

Tectonic grid and node logic

Formation States

How the interface forms.

These frames show the work progressing: the raw evidence, visual system, tutor dashboard, and student practice loop can each expand into a full portfolio chapter.

critiquevoicecodeportfolio

Evidence field

Raw traces become a navigable field.

Critique, voice, code, and portfolio artifacts are not hidden in a spreadsheet; they become visible design material.

pointlineplaneglow

Signal grammar

The system learns a visual vocabulary.

Points carry moments, lines carry relationships, planes carry learning contexts, and glow marks urgency.

confidence

next move

reflection

Teaching cockpit

Tutors see the next best move.

The interface frames evidence as a discussion tool for critique, not a surveillance dashboard.

promptpracticereview

Student loop

The learner receives a playable next step.

Practice tasks, reflection prompts, and challenge states make progress feel concrete and revisitable.