22sText 1
“The direction can be adjusted”
Open questions · Human–AI collaboration
Return what the video could not tell us to the skill graph.
The AI formulates questions from the gap between what the source supports and what a learner still needs. An expert answer becomes a provenance-bearing graph node and updates the related process context.
Progress
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01 · QUESTION FORMULATION
How an open question is formulated
The system does not plausibly fill gaps. It fixes the source-supported boundary, then asks only for learning-critical fields that remain unstated.
- 01Perceive video and speech
Ground speech, on-screen text, entities, and motion in time
- 02Structure the graph
Separate process, action, attention, and criteria
- 03Detect a missing field
Find absent criteria, values, exceptions, rationale, or identity
- 04Formulate a neutral question
Avoid leading the answer and retain source links
- 05Apply the human answer
Add accepted evidence and mark the question resolved
02 · OPEN QUESTIONS
Open questions in the skill graph
Select a question to inspect why it was generated, its evidence, and the exact graph patch an answer will create.
Controlled value or tolerance
OpenHow are direction and speed selected for each part and condition?
Why it was generated
The source shows what to do but omits a governing force, amount, time, ratio, speed, or tolerance.
What the source establishes
Review controls and the stated sequence — The on-screen text identifies direction adjustment, light, start and speed controls, then states valve-stem grinding first and the housing middle bore second.
Learning-critical field missing from the source
Controlled value or tolerance
Evidence IDs0:44
v7-text-sequenceExpert answer
03 · GRAPH UPDATE
Live graph patch
Applying an answer immediately changes the question state and adds a human-verified evidence node.
LEARNING UNITReview controls and the stated sequenceRelated learning unit
RAISES_QUESTION
OPENQUESTIONHow are direction and speed selected for each part and condition?Awaiting an answer
SUPPORTED_BY
EVIDENCEITEMAwaiting an answerHuman-verified evidence
04 · SOURCE CHECKS
Supporting source checks
Transcript, OCR, and neutral-ID checks are a separate provenance gate—not answers to the skill questions. They remain available below.
Progress0 / 14
On-screen source-text checks
Confirm the transcription against each source frame, and correct any OCR or interpretation error.
22s
28sText 2
“Turn on, this is the light, this is the start button”
38sText 3
“Speed adjustment”
44sText 4
“First you need to grind the valve stem. Second, while grinding the valve stem, you need to grind the middle hole of the housing.”
52sText 5
“Clamp the valve stem to be ground on the grinder”
74sText 6
“Then select the ground inner bladder”
84sText 7
“Corresponding to the thickness of the valve stem and fix it inside”
94sText 8
“Then start the grinder and start moving forward or backward to grind”
108sText 9
“This is a tapered rod”
114sText 10
“When grinding, first fix the rod on the grinder and install the ring on the tapered rod”
124sText 11
“First you need to measure its diameter and tap it in when it reaches the size you want”
134sText 12
“Grind the middle hole of the shell and apply abrasive paste”
149sText 13
“The valve stem must be flexible inside the housing”
154sText 14
“After installation, measure the stroke and then go to the test bench to check the flow rate”
Continue with this source
One source, five connected views
Switching views preserves the same source hash across instruction, analysis, skill structure, evidence, and human review.
01Learning guideLearn the demonstration as a visual procedure02Vision labInspect model outputs, live graph, and teaching visuals03Skill mapExplore process, tools, judgment, and learning04EvidenceReturn to speech, source text, and observations
05Open questionsAnswer knowledge gaps and update the skill graphYou are here