default_max_attempts_per_step: 3
tokens_for_ai_rubric: 'Evaluate the student''s understanding of the scientific method.

  Consider:

  - Their ability to identify steps in the scientific method

  - Understanding of hypothesis formation and testing

  - Recognition of controls and variables

  - Critical thinking about experimental design

  - Engagement with the case studies


  Provide encouraging feedback and suggestions for applying scientific thinking in their own explorations.

  '
sections:
- section_id: introduction
  title: Welcome to Scientific Method Explorer
  steps:
  - step_id: welcome
    title: Welcome to Scientific Method
    content_blocks:
    - '# Welcome to Scientific Method Explorer!'
    - Explore how scientists make discoveries through the scientific method.
    - ''
    - 'You''ll follow in the footsteps of famous scientists, learning to:'
    - '- Ask testable questions'
    - '- Form hypotheses'
    - '- Design experiments'
    - '- Identify variables and controls'
    - '- Analyze results and draw conclusions'
    - ''
    - '**The Scientific Method Steps:**'
    - 1. **Observe** - Notice something interesting
    - 2. **Question** - Ask why or how
    - 3. **Hypothesize** - Make an educated guess
    - 4. **Experiment** - Test your hypothesis
    - 5. **Analyze** - Look at your data
    - 6. **Conclude** - Determine if hypothesis was supported
    - ''
    - Ready to think like a scientist?
    question: Are you ready to explore the scientific method through real discoveries?
    tokens_for_ai: 'Student is expressing readiness. Accept any positive response.


      Categorize as:

      - ready: Positive, ready to begin

      - set_language: Setting language preference

      - off_topic: Unrelated

      '
    buckets:
    - ready
    - set_language
    - off_topic
    transitions:
      ready:
        content_blocks:
        - Excellent! Let's begin with a fascinating historical case study.
        next_section_and_step: section_1:step_1
      set_language:
        content_blocks:
        - I'll communicate in your preferred language.
        counts_as_attempt: false
        next_section_and_step: introduction:welcome
      off_topic:
        content_blocks:
        - Let's get started with exploring science! Are you ready?
        counts_as_attempt: false
        next_section_and_step: introduction:welcome
- section_id: section_1
  title: 'Case Study: Germ Theory'
  steps:
  - step_id: step_1
    title: The Mystery of Childbed Fever
    content_blocks:
    - '## The Mystery of Childbed Fever (1840s)'
    - '**The Observation:**'
    - 'Dr. Ignaz Semmelweis noticed something disturbing in his Vienna hospital:'
    - '- Ward 1 (doctors and medical students): 10% of mothers died from childbed fever'
    - '- Ward 2 (midwives): Only 4% of mothers died'
    - ''
    - '**The Puzzle:**'
    - Both wards had similar conditions, but Ward 1 had much higher death rates.
    - ''
    - Semmelweis observed that doctors in Ward 1 came directly from autopsy rooms to deliver babies, while midwives in Ward 2 did not perform autopsies.
    question: What question should Semmelweis ask based on this observation? What do you think might be causing the difference in death rates?
    tokens_for_ai: 'Good scientific questions might be:

      - Are doctors carrying something deadly from autopsies?

      - Does something on doctors'' hands cause the fever?

      - Is there a connection between autopsies and infections?


      Categorize as:

      - correct_question: Identifies a connection between autopsy work and infections

      - partial_understanding: Notices the pattern but doesn''t form a clear causal question

      - creative_thinking: Proposes alternative explanations worth considering

      - limited_effort: Very brief or vague

      - off_topic: Unrelated

      '
    feedback_tokens_for_ai: 'If they identify the connection to autopsies and handwashing, praise their observation.

      If they suggest other factors, acknowledge the thinking but guide toward the autopsy connection.

      '
    buckets:
    - correct_question
    - partial_understanding
    - creative_thinking
    - limited_effort
    - off_topic
    transitions:
      correct_question:
        ai_feedback:
          tokens_for_ai: Excellent scientific observation! You've identified the key question that Semmelweis asked.
        metadata_add:
          score: n+1
          experiments_designed: n+1
        next_section_and_step: section_1:step_2
      partial_understanding:
        ai_feedback:
          tokens_for_ai: Good thinking! Can you be more specific about what might be different about the doctors' hands?
        next_section_and_step: section_1:step_2
      creative_thinking:
        ai_feedback:
          tokens_for_ai: Interesting hypothesis! Acknowledge their creativity while guiding them to consider the autopsy connection.
        metadata_add:
          score: n+1
        next_section_and_step: section_1:step_2
      limited_effort:
        content_blocks:
        - Think about what the doctors were doing that the midwives were not. What might they be carrying on their hands?
        next_section_and_step: section_1:step_1
      off_topic:
        content_blocks:
        - Let's focus on the medical mystery. What difference between the two wards might explain the death rates?
        next_section_and_step: section_1:step_1
  - step_id: step_2
    title: Forming a Hypothesis
    content_blocks:
    - '## Forming a Hypothesis'
    - 'Semmelweis formed a hypothesis:'
    - ''
    - '**''Cadaveric particles'' from autopsies on doctors'' hands are causing childbed fever.**'
    - ''
    - This was revolutionary! In the 1840s, germs were not yet understood.
    - ''
    - '**Now for the experiment:**'
    - Semmelweis needs to test this hypothesis. He decides to require doctors to wash their hands with chlorinated lime solution before examining patients.
    - ''
    - '**Question for you:**'
    - To make this a good scientific experiment, what should we compare?
    question: What should Semmelweis measure before and after the handwashing requirement? What would be the control group?
    tokens_for_ai: 'Good answers should mention:

      - Measure death rates before and after handwashing

      - Compare Ward 1 with handwashing to previous Ward 1 without handwashing

      - Or compare Ward 1 (with handwashing) to Ward 2 (baseline)

      - The control is the previous data or Ward 2


      Categorize as:

      - correct_method: Identifies need to compare death rates before/after or between groups

      - partial_understanding: Mentions measuring death rates but unclear on control

      - confused_about_controls: Doesn''t understand the concept of a control group

      - limited_effort: Very brief answer

      - asking_clarifying_questions: Requests explanation of terms

      - off_topic: Unrelated

      '
    feedback_tokens_for_ai: 'If they understand controls, praise them! If confused about controls, explain that

      a control group helps us know if changes are due to our intervention or something else.

      '
    buckets:
    - correct_method
    - partial_understanding
    - confused_about_controls
    - limited_effort
    - asking_clarifying_questions
    - off_topic
    transitions:
      correct_method:
        ai_feedback:
          tokens_for_ai: Excellent experimental thinking! You understand the importance of controls in science.
        metadata_add:
          score: n+2
          controls_identified: n+1
        next_section_and_step: section_1:step_3
      partial_understanding:
        ai_feedback:
          tokens_for_ai: Good! You're thinking about measurement. Explain what a control group is and why it's important.
        metadata_add:
          score: n+1
        next_section_and_step: section_1:step_3
      confused_about_controls:
        content_blocks:
        - '**Control groups** help us compare results.'
        - 'We need to know: Are death rates different WITH handwashing vs WITHOUT handwashing?'
        - That way we know if handwashing made the difference!
        next_section_and_step: section_1:step_2
      limited_effort:
        content_blocks:
        - Think about what Semmelweis should measure and what he should compare it to.
        next_section_and_step: section_1:step_2
      asking_clarifying_questions:
        ai_feedback:
          tokens_for_ai: Answer their question about experimental design and controls helpfully.
        counts_as_attempt: false
        next_section_and_step: section_1:step_2
      off_topic:
        content_blocks:
        - Let's focus on designing the experiment. What should we measure?
        next_section_and_step: section_1:step_2
  - step_id: step_3
    title: The Results!
    content_blocks:
    - '## The Results!'
    - Semmelweis implemented handwashing with chlorinated lime in 1847.
    - ''
    - '**The data:**'
    - '- **Before handwashing (1846):** Death rate in Ward 1 = 10%'
    - '- **After handwashing (1847-1848):** Death rate in Ward 1 = 2%'
    - ''
    - This was a dramatic improvement! The death rate dropped by 80%.
    - ''
    - '**Analysis step:**'
    - Now we must analyze these results and draw a conclusion.
    question: Based on these results, was Semmelweis's hypothesis supported? What can we conclude about the cause of childbed fever?
    tokens_for_ai: 'The hypothesis WAS supported - handwashing dramatically reduced death rates, suggesting

      that something on doctors'' hands (cadaveric particles/germs) was indeed causing the fever.


      Categorize as:

      - correct_conclusion: States hypothesis was supported, handwashing worked, something on hands caused illness

      - partial_understanding: Gets general idea but incomplete reasoning

      - overstating: Claims this "proves" rather than "supports" (good to address scientific certainty)

      - limited_effort: Very brief

      - off_topic: Unrelated

      '
    feedback_tokens_for_ai: 'If correct, praise their analysis! If they say "proves," gently explain that in science

      we say evidence "supports" a hypothesis rather than "proves" it absolutely.

      '
    buckets:
    - correct_conclusion
    - partial_understanding
    - overstating
    - limited_effort
    - off_topic
    transitions:
      correct_conclusion:
        ai_feedback:
          tokens_for_ai: Excellent analysis! You've worked through a complete scientific investigation. Explain the impact this had on medicine.
        metadata_add:
          score: n+2
          case_studies_completed: n+1
        next_section_and_step: section_2:step_1
      partial_understanding:
        ai_feedback:
          tokens_for_ai: Good! Can you connect the results more explicitly to the hypothesis about what was on doctors' hands?
        metadata_add:
          score: n+1
          case_studies_completed: n+1
        next_section_and_step: section_2:step_1
      overstating:
        ai_feedback:
          tokens_for_ai: 'Great thinking! One note: in science we say results ''support'' a hypothesis rather than ''prove'' it. Explain why scientific conclusions are provisional.'
        metadata_add:
          score: n+1
          case_studies_completed: n+1
        next_section_and_step: section_2:step_1
      limited_effort:
        content_blocks:
        - Look at the dramatic change in death rates. What does this tell us about Semmelweis's hypothesis?
        next_section_and_step: section_1:step_3
      off_topic:
        content_blocks:
        - Let's analyze the data. Death rates dropped from 10% to 2%. What does this mean?
        next_section_and_step: section_1:step_3
- section_id: section_2
  title: Design Your Own Experiment
  steps:
  - step_id: step_1
    title: Newton's Light Experiment
    content_blocks:
    - '## Newton''s Light Experiment'
    - Let's explore another famous case, then YOU'LL design an experiment!
    - ''
    - '**The Observation (1660s):**'
    - Isaac Newton observed that sunlight passing through a prism splits into rainbow colors.
    - ''
    - '**The Common Belief:**'
    - Most people thought the prism was adding color to the light, like stained glass adds color.
    - ''
    - '**Newton''s Hypothesis:**'
    - 'Newton proposed something radical: White light is actually MADE of all the colors combined, and the prism just separates them.'
    - ''
    - '**Your Task:**'
    - Newton needs to prove that the colors come FROM the white light, not from the prism.
    question: Design an experiment that could test whether the colors are already in white light or are created by the prism. What would you do?
    tokens_for_ai: 'Newton''s actual experiment: He used a second prism to recombine the separated colors

      back into white light. If the prism created the colors, you couldn''t get white light back.


      Good student answers might suggest:

      - Using a second prism to recombine colors

      - Testing different prisms (if prism creates color, different prisms would create different colors)

      - Blocking some colors and seeing what recombines

      - Comparing different light sources


      Categorize as:

      - excellent_design: Proposes recombining colors or testing multiple prisms

      - creative_approach: Different but scientifically sound experiment

      - partial_understanding: Has an idea but experimental design is unclear

      - confused: Doesn''t understand what needs to be tested

      - limited_effort: Very brief

      - asking_clarifying_questions: Needs help

      - off_topic: Unrelated

      '
    feedback_tokens_for_ai: 'Encourage creative experimental thinking! If they propose recombining colors, that''s

      exactly what Newton did. If they have other ideas, evaluate if they would actually

      distinguish between the two hypotheses.

      '
    buckets:
    - excellent_design
    - creative_approach
    - partial_understanding
    - confused
    - limited_effort
    - asking_clarifying_questions
    - off_topic
    transitions:
      excellent_design:
        ai_feedback:
          tokens_for_ai: Brilliant experimental design! Explain how this is similar to what Newton actually did and praise their scientific thinking.
        metadata_add:
          score: n+3
          experiments_designed: n+1
        next_section_and_step: section_2:step_2
      creative_approach:
        ai_feedback:
          tokens_for_ai: Interesting approach! Evaluate whether their experiment would actually distinguish between the two hypotheses. If yes, praise them. If not, guide them.
        metadata_add:
          score: n+2
          experiments_designed: n+1
        next_section_and_step: section_2:step_2
      partial_understanding:
        ai_feedback:
          tokens_for_ai: 'You''re thinking in the right direction. Ask: if the prism creates color, could you reverse the process? If light contains the colors, could you recombine them?'
        next_section_and_step: section_2:step_1
      confused:
        content_blocks:
        - '**Hint:** Think about what would happen differently based on each explanation:'
        - '- If the PRISM creates color, could you get white light back from colored light?'
        - '- If WHITE LIGHT contains colors, could you recombine them?'
        next_section_and_step: section_2:step_1
      limited_effort:
        content_blocks:
        - Take time to think creatively! How could you test whether colors come from the light or from the prism?
        next_section_and_step: section_2:step_1
      asking_clarifying_questions:
        ai_feedback:
          tokens_for_ai: Answer their question and provide guidance on experimental design principles.
        counts_as_attempt: false
        next_section_and_step: section_2:step_1
      off_topic:
        content_blocks:
        - Let's focus on designing an experiment about light and prisms.
        next_section_and_step: section_2:step_1
  - step_id: step_2
    title: Identifying Variables
    content_blocks:
    - '## Identifying Variables'
    - Great thinking! Newton did indeed use a second prism to recombine the colors back into white light.
    - ''
    - '**Understanding Variables:**'
    - 'In any experiment, we need to identify:'
    - '- **Independent variable:** What YOU change'
    - '- **Dependent variable:** What you MEASURE'
    - '- **Control variables:** What you keep THE SAME'
    - ''
    - '**Example scenario:**'
    - You want to test if plants grow faster with music.
    - ''
    - 'You set up:'
    - '- 10 plants with music'
    - '- 10 plants without music'
    - '- All plants get same water, light, soil, and temperature'
    - '- Measure growth after 2 weeks'
    question: Identify the independent variable, dependent variable, and control variables in this plant experiment.
    tokens_for_ai: 'Correct answers:

      - Independent variable: Presence/absence of music (what you change)

      - Dependent variable: Plant growth/height (what you measure)

      - Control variables: Water, light, soil, temperature (what you keep the same)


      Categorize as:

      - correct: Correctly identifies all three types of variables

      - partial_understanding: Gets 2 out of 3 correct

      - confused: Mixes up independent and dependent

      - limited_effort: Very brief or incomplete

      - asking_clarifying_questions: Needs clarification

      - off_topic: Unrelated

      '
    feedback_tokens_for_ai: 'If they confuse independent and dependent, explain: independent is what the experimenter

      controls/changes, dependent is what responds/changes as a result.

      '
    buckets:
    - correct
    - partial_understanding
    - confused
    - limited_effort
    - asking_clarifying_questions
    - off_topic
    transitions:
      correct:
        ai_feedback:
          tokens_for_ai: Perfect! You understand variables - a crucial concept in experimental design.
        metadata_add:
          score: n+2
          controls_identified: n+1
        next_section_and_step: section_3:step_1
      partial_understanding:
        ai_feedback:
          tokens_for_ai: Good start! Clarify which variables they got right and help with the others.
        metadata_add:
          score: n+1
        next_section_and_step: section_3:step_1
      confused:
        content_blocks:
        - '**Tip:** The INDEPENDENT variable is what the experimenter changes on purpose.'
        - The DEPENDENT variable is what you measure to see the effect.
        - CONTROL variables are kept the same so they don't interfere.
        next_section_and_step: section_2:step_2
      limited_effort:
        content_blocks:
        - 'Try to identify each type: What are you changing? What are you measuring? What are you keeping the same?'
        next_section_and_step: section_2:step_2
      asking_clarifying_questions:
        ai_feedback:
          tokens_for_ai: Answer their question about variables clearly with examples.
        counts_as_attempt: false
        next_section_and_step: section_2:step_2
      off_topic:
        content_blocks:
        - Let's focus on identifying the different types of variables in this experiment.
        next_section_and_step: section_2:step_2
- section_id: section_3
  title: Avoiding Bias and Errors
  steps:
  - step_id: step_1
    title: Recognizing Experimental Bias
    content_blocks:
    - '## Recognizing Experimental Bias'
    - Good scientists must watch out for bias and confounding factors!
    - ''
    - '**Scenario:**'
    - A pharmaceutical company tests a new headache medicine.
    - ''
    - '**Experimental setup:**'
    - '- Group A: 100 patients receive the new medicine'
    - '- Group B: 100 patients receive nothing'
    - '- Researchers record who reports headache relief'
    - ''
    - '**Results:**'
    - '- Group A: 80% report relief'
    - '- Group B: 30% report relief'
    - ''
    - The company concludes the medicine works!
    question: Is there a problem with this experimental design? What's missing or problematic?
    tokens_for_ai: 'Major problems:

      - No placebo (Group B should get a fake pill, not nothing)

      - Placebo effect not controlled for

      - Patients know if they''re getting treatment (should be blind/double-blind)

      - Researcher bias possible if they know who got real medicine


      Categorize as:

      - identified_placebo: Recognizes need for placebo control

      - identified_blinding: Recognizes need for blind study

      - partial_understanding: Sees something wrong but can''t articulate it clearly

      - missed_bias: Doesn''t see the problem

      - limited_effort: Very brief

      - asking_clarifying_questions: Needs explanation

      - off_topic: Unrelated

      '
    feedback_tokens_for_ai: 'If they identify placebo effect, excellent! If not, explain that people often feel

      better just because they think they''re getting treatment. That''s why we need placebo

      controls and blind studies.

      '
    buckets:
    - identified_placebo
    - identified_blinding
    - partial_understanding
    - missed_bias
    - limited_effort
    - asking_clarifying_questions
    - off_topic
    transitions:
      identified_placebo:
        ai_feedback:
          tokens_for_ai: Excellent! You identified the placebo effect. Explain why placebos are crucial in medical research.
        metadata_add:
          score: n+3
          bias_identified: n+1
        next_section_and_step: section_3:step_2
      identified_blinding:
        ai_feedback:
          tokens_for_ai: Great catch! Explain how blinding prevents bias in both patients and researchers.
        metadata_add:
          score: n+3
          bias_identified: n+1
        next_section_and_step: section_3:step_2
      partial_understanding:
        ai_feedback:
          tokens_for_ai: You're sensing something's wrong. Guide them toward the placebo effect concept.
        next_section_and_step: section_3:step_1
      missed_bias:
        content_blocks:
        - '**Hint:** Think about the psychological effect of KNOWING you''re getting medicine.'
        - What if people feel better just because they believe they're being treated?
        next_section_and_step: section_3:step_1
      limited_effort:
        content_blocks:
        - 'Think carefully: Is it fair to compare people who GET something to people who get NOTHING?'
        next_section_and_step: section_3:step_1
      asking_clarifying_questions:
        ai_feedback:
          tokens_for_ai: Answer their question about experimental design and bias.
        counts_as_attempt: false
        next_section_and_step: section_3:step_1
      off_topic:
        content_blocks:
        - Let's analyze this medical experiment. Is the design fair and unbiased?
        next_section_and_step: section_3:step_1
  - step_id: step_2
    title: Scientific Integrity
    content_blocks:
    - '## Scientific Integrity'
    - Excellent work identifying bias!
    - ''
    - '**Key principles for good science:**'
    - ''
    - ✓ **Use controls** - Compare to a baseline or control group
    - ✓ **Use placebos** - Control for psychological effects
    - ✓ **Blind studies** - Subjects don't know if they got real treatment
    - ✓ **Double-blind** - Researchers also don't know (prevents their bias)
    - ✓ **Replicate** - Repeat experiments to confirm results
    - ✓ **Peer review** - Other scientists check your work
    - ✓ **Large sample sizes** - More data = more reliable
    - ✓ **Account for confounding variables** - What else might affect results?
    - ''
    - These principles help ensure that scientific findings are reliable and trustworthy.
    question: Why do you think it's important for other scientists to be able to replicate (repeat) an experiment? What purpose does replication serve in science?
    tokens_for_ai: 'Good answers mention:

      - Verifying results weren''t due to chance

      - Catching errors or fraud

      - Building confidence in findings

      - Testing if results hold in different conditions

      - Science is self-correcting


      Categorize as:

      - insightful: Understands multiple purposes of replication

      - correct_understanding: Gets the basic concept (verification)

      - partial_understanding: General idea but incomplete

      - limited_effort: Very brief

      - off_topic: Unrelated

      '
    feedback_tokens_for_ai: 'Encourage their understanding of how science builds reliable knowledge through

      replication and peer review. Connect it to why we can trust scientific consensus.

      '
    buckets:
    - insightful
    - correct_understanding
    - partial_understanding
    - limited_effort
    - off_topic
    transitions:
      insightful:
        ai_feedback:
          tokens_for_ai: Excellent understanding of scientific process! You grasp why science is a self-correcting system.
        metadata_add:
          score: n+3
        next_section_and_step: section_4:step_1
      correct_understanding:
        ai_feedback:
          tokens_for_ai: Correct! Replication is indeed crucial for verifying results. Expand on other benefits if they didn't mention them.
        metadata_add:
          score: n+2
        next_section_and_step: section_4:step_1
      partial_understanding:
        ai_feedback:
          tokens_for_ai: You're on the right track. Explain how replication helps catch errors and builds confidence.
        metadata_add:
          score: n+1
        next_section_and_step: section_4:step_1
      limited_effort:
        content_blocks:
        - Think about what happens if only ONE person does an experiment. How do we know if their result was accurate?
        next_section_and_step: section_3:step_2
      off_topic:
        content_blocks:
        - Let's focus on why repeating experiments is important in science.
        next_section_and_step: section_3:step_2
- section_id: section_4
  title: Reflection and Conclusion
  steps:
  - step_id: step_1
    title: Congratulations!
    content_blocks:
    - '## Congratulations, Scientist! 🔬'
    - You've completed the Scientific Method Explorer!
    - ''
    - '**What you''ve learned:**'
    - ✓ The steps of the scientific method
    - ✓ How to form testable hypotheses
    - ✓ Experimental design principles
    - ✓ Identifying variables (independent, dependent, control)
    - ✓ The importance of controls and placebos
    - ✓ Recognizing bias in experiments
    - ✓ Why replication and peer review matter
    - ''
    - '**Famous scientists you studied:**'
    - '- Ignaz Semmelweis (germ theory and handwashing)'
    - '- Isaac Newton (nature of light)'
    - ''
    - '**Why this matters:**'
    - The scientific method is how we reliably discover truth about the natural world.
    - 'These principles apply whether you''re:'
    - '- Testing a new technology'
    - '- Debugging code (forming and testing hypotheses!)'
    - '- Evaluating health claims'
    - '- Understanding climate science'
    - '- Or pursuing any evidence-based inquiry'
    question: How might you apply scientific thinking in your own life or studies? Give an example of a question you could investigate using the scientific method.
    tokens_for_ai: 'This is a reflection question. Accept any thoughtful application of scientific method

      to a real-world question or problem.


      Categorize as:

      - excellent_application: Proposes a specific, testable question with clear methodology

      - good_application: Identifies a reasonable application area

      - basic_reflection: General but genuine reflection

      - limited_effort: Very brief

      - off_topic: Unrelated

      '
    feedback_tokens_for_ai: 'Provide personalized, encouraging feedback on their learning journey. Acknowledge their

      application ideas. Encourage them to actually try investigating something scientifically.

      Emphasize that scientific thinking is a powerful tool for understanding the world.

      '
    buckets:
    - excellent_application
    - good_application
    - basic_reflection
    - limited_effort
    - off_topic
    transitions:
      excellent_application:
        ai_feedback:
          tokens_for_ai: Fantastic! Your example shows you truly understand how to apply the scientific method. Encourage them to actually investigate their question!
        metadata_add:
          activity_completed: 'true'
      good_application:
        ai_feedback:
          tokens_for_ai: Great thinking! Provide positive feedback and suggestions for how they could make their investigation more rigorous.
        metadata_add:
          activity_completed: 'true'
      basic_reflection:
        ai_feedback:
          tokens_for_ai: Thank them for their reflection and summarize the key scientific principles they've learned.
        metadata_add:
          activity_completed: 'true'
      limited_effort:
        ai_feedback:
          tokens_for_ai: Acknowledge their completion and encourage them to think scientifically in their daily life.
        metadata_add:
          activity_completed: 'true'
      off_topic:
        content_blocks:
        - Think about how you could use scientific thinking in your own investigations. What question might you explore?
        next_section_and_step: section_4:step_1
