What they comprehend
The level of understanding the student demonstrates on their own, without support from the tool.
Evidence of learning over time
Each activity is a point. The trajectory is the evidence.
In the era of generative AI, a correct answer is no longer enough proof of learning. What cannot be copied is what accumulates over time: what each student comprehends, how they reason, where they doubt, what errors they repeat, how much support they need, what they manage to transfer, and how they evolve.
The point teaches. The trajectory proves.
The problem
Grades show the result. Nobody sees the journey.
Each activity leaves a deliverable, but deliverables are not connected to one another. The institution knows what was answered at each point, not how the student changed between one point and the next.
Generative AI makes that gap urgent: when an answer looks correct, the result does not reveal how much of the reasoning is the student's and how much was assumed from the tool.
A grade says what was delivered. The trajectory shows how it was learned.
The idea
Each activity is a point. We connect the points.
A single activity is an isolated data point: something was understood, doubted, transferred. The advantage is not in that moment, but in what accumulates when many activities are connected over time.
The chatbot will soon become a common and replaceable tool. What cannot be copied is the structured evidence built with each activity: a continuous record of how each student reasons, doubts, errs, and improves.
Each activity adds evidence. The trajectory becomes more valuable over time.
How it works
Each activity leaves a point. Then we connect the points.
The method works in two layers: what is observed within each activity and what accumulates between activities.
Within one activity
A point of evidence
- 01
Trace
The student begins with their own analysis, before consulting the tool. That first reasoning is kept as a reference, not as an answer that has to be guessed.
- 02
Contrast
The subsequent conversation puts hypotheses, variables, and decisions to the test. The student explains what they accept, what they revise, and what they still cannot affirm.
- 03
Transfer
When faced with a new problem, the tool remains available but no longer exerts pressure. We observe whether the method appears on the student's own initiative.
Between activities
The trajectory
Every point is recorded and the points are connected. Over the weeks, the signals become a pattern: what is consolidated, what is not yet, and how much support each student needs to move forward.
The point teaches. The trajectory proves.
What the institution sees
A view that accumulates over time, not a snapshot of one class.
Instructors and administrators observe, student by student and over time, signals about real learning — beyond grades.
How they reason
The structure of their explanation: causes, variables, conditions, and decision criteria.
Where they doubt
The limit of what they can affirm and the assumptions they do not always tell apart from evidence.
What errors they repeat
The patterns that reappear between activities, as a signal of what has not been consolidated.
How much support they need
The scaffolding each student requires to reach transfer on their own.
What they transfer and how they evolve
Whether the reasoning appears on its own initiative when facing new problems, and whether it improves over time.
These observations rest on a framework of professional reasoning — causal complexity, technical specificity, epistemic awareness, and decision under uncertainty — without turning the classroom into surveillance.
Status
A platform in operation.
Cognitive Traceability is an operational platform: connected schools run activities and each participation is recorded as a point of evidence.
Operational platform
The instructor–student journey is verified: activities, participation, and cumulative record. Methodological validation of the evidence is ongoing work, separate from the academic research.
- 01
Operational school platform
The platform already connects the instructor–student journey: activities, participation, and per-student record.
- 02
Cumulative per-student record
Each participation leaves a point of evidence that accumulates into a longitudinal history, not a single-class snapshot.
- 03
Academic research kept separate
The research line at the Universidad de Santiago de Chile continues separately and validates the observation framework and its procedures.
An institutional conversation
Can your institution show how a student's reasoning evolves from first to last year?
Let us talk about connecting each activity into a longitudinal learning trajectory — without confusing a correct answer with demonstrated learning.
Request a conversation