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Mapping AI in Knowledge Production

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About This MicroSim

A concept map showing AI's involvement at each stage of the knowledge production pipeline helps students see that AI is not a single phenomenon but a collection of tools operating at many points in the epistemic process. The simulation details how AI impacts Data Collection, Data Processing, Analysis, Interpretation, and Dissemination.

Lesson Plan

Grade Level

9-12 (High School / IB TOK)

Duration

20-25 minutes

Prerequisites

  • Understanding of the scientific method and standard knowledge production pipelines.
  • Familiarity with the terms "Data Collection," "Interpretation," and "Dissemination."

Learning Objectives

  • Classify the different roles AI plays across stages of knowledge production, from data collection to dissemination.

Activities

  1. Exploration (5 min): Allow students to review the complete horizontal pipeline. Instruct them to use the "Human Oversight" threshold slider to see which AI tools vanish and which remain when oversight levels are raised or lowered.
  2. Guided Practice (10 min): Use the filter toggle to isolate different Areas of Knowledge (Natural Sciences, Human Sciences, Arts). Have students identify which pipeline stages (e.g., Data Collection vs. Interpretation) are most frequently augmented by AI within a specific area of knowledge.
  3. Assessment (10 min): Students must pick one specific AI application node (e.g., "Web Scraping" under Data Collection or "Language Translation" under Dissemination) and explain how replacing human oversight at that stage changes the reliability of the knowledge produced.

Assessment

  • Observations on how well students differentiate between AI as a data-collection tool versus an interpretation tool.
  • Written evaluation of their chosen node and its epistemic impact.

Quiz

Test your understanding of AI in the knowledge production pipeline with this question.

1. In the knowledge production pipeline, which of the following AI tools is primarily operating at the "Data Collection" stage?

  1. Automated translation algorithms distributing scientific journals globally
  2. Satellite imaging drones mapping deforestation patterns
  3. Large language models writing abstracts for research papers
  4. Statistical classification networks discovering new protein behaviors
Show Answer

The correct answer is B. Satellite imaging drones mapping patterns describe an AI system gathering raw input directly from the environment, which is part of the initial Data Collection stage. Translation acts during Dissemination, while LLMs summarizing and classification networks function during the Analysis and Interpretation stages.

Concept Tested: AI Knowledge Production Stages