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AI2019

Mechanized Objective Generation

Automated generation of learning/assessment objectives using T5.

Architecture & workflows

How this product is built, deployed, and operated in production.

Delivery flow

End-to-end delivery flow for this project, from intake through the final handoff.

Challenge

Writing clear objectives at scale was slow for educators and content teams.

How we did it

Fine-tuned a T5 model to propose objectives from topic inputs with human review.

Outcome

Faster first drafts of objectives with consistent structure.

Tech stack

PythonT5NLP

Step-by-step

  1. 1

    Input topic

    Subject and constraints

  2. 2

    Generate

    T5 proposes objective candidates

  3. 3

    Filter

    Rules for clarity and length

  4. 4

    Review

    Human edits the best option

  5. 5

    Publish

    Save into the content system

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