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Teaching with Simulations and Digital Tools — Professional Development

Curriculum

  • 7 Sections
  • 15 Lessons
  • Lifetime
Expand all sectionsCollapse all sections
  • Module 1: Teaching with Any Tool
    3
    • 1.1
      Predict, Observe, Explain — a Routine That Makes the Tool Teach
      30 mins
    • 1.2
      Assessing What Students Do in a Tool
      25 mins
    • 1.3
      Access, Accounts, Privacy and Licensing
      25 mins
  • Module 2: PhET Interactive Simulations
    2
    • 2.1
      PhET Setup — Finding, Preparing and Running the Sims
      25 mins
    • 2.2
      Teaching with PhET — Variables, Models and Limits
      25 mins
  • Module 3: CODAP and Public Data
    2
    • 3.1
      CODAP Setup — Importing, Graphing and Saving
      25 mins
    • 3.2
      Teaching Students to Question a Dataset
      25 mins
  • Module 4: GeoGebra and Desmos
    2
    • 4.1
      GeoGebra for Constructions, Transformations and Solids
      25 mins
    • 4.2
      Desmos and GeoGebra Graphing for Modeling
      25 mins
  • Module 5: JupyterLite and Python
    2
    • 5.1
      JupyterLite Setup — Python in the Browser
      25 mins
    • 5.2
      Code as a Tool for Reasoning — Simulation in Statistics
      25 mins
  • Module 6: Science Data Portals and Specialized Simulators
    2
    • 6.1
      Federal Data Portals — NASA, USGS and NOAA
      25 mins
    • 6.2
      Stellarium, Falstad and NetLogo — Specialized Simulators
      25 mins
  • Module 7: Knight Lab Timelines and Story Maps for History
    2
    • 7.1
      TimelineJS and StoryMapJS Setup
      25 mins
    • 7.2
      Assessing the History, Not the Presentation
      25 mins

Predict, Observe, Explain — a Routine That Makes the Tool Teach

Module 1  ·  Teaching with Any Tool  ·  1 of 15

Predict, Observe, Explain — a Routine That Makes the Tool Teach

CA-TOOLS-PDTeacher guide
By the end of this module you will be able to…

run a simulator or tool activity so students reason about what they see rather than click until something happens.

A simulator can teach a great deal or nothing at all. Research on simulations in science and mathematics classrooms tends to reach the same conclusion: open-ended exploration without structure leaves many students clicking without learning, while activities that ask students to commit to a prediction, observe deliberately and explain the difference produce understanding. Every sim block in the charter courses is written as a guided task for this reason. It tells students what to set, what to observe, what to record and what question the observation answers. Your job is to protect that structure.

The routine. Use Predict, Observe, Explain with every activity. Predict: before touching the tool, each student writes what they expect and why. The prediction is the most important step, because it creates the gap that the observation fills. Observe: students carry out the task’s steps and record what happens, including numbers, sketches or screenshots. Explain: students reconcile the observation with the prediction in writing, and the class discusses the explanations, not the clicks.

Time boxes. Give a short, bounded period of free play at the start of a new tool, perhaps three to five minutes. Students will explore anyway; a named window makes it legitimate and ends it. Then move to the task.

Discourse. The Mathematical Discourse Lab, the Statistical Discourse Lab and the science labs all ask students to argue from evidence. A tool gives every student the same evidence. Ask students to point at what they saw, to predict what would happen if one setting changed, and to test that prediction. MP.5 asks students to use tools strategically, which includes knowing a tool’s limits: a simulation is a model, and students should be able to say what it leaves out.

The non-tool route. Every activity in the curriculum has a printed or hands-on alternative in its task text. Use it for students without reliable access, and also, occasionally, for everyone: doing the reasoning without the tool shows whether students understand the idea or only the interface.

Predict, Observe, Explain

The prediction creates a question the tool can answer; the explanation turns the observation into understanding.

  1. Pose the task’s question. Students write a prediction and a reason before opening the tool.
  2. Allow a short, named free-play window for a new tool.
  3. Students follow the task steps and record observations: numbers, sketches or screenshots.
  4. Students write how the observation matched or contradicted their prediction, and why.
  5. Discuss explanations as a class. Ask what would change if one setting changed, and test it.
  6. Close by naming one thing the simulation leaves out of the real situation.

Look-fors during a tool activity

What you seeWhat it meansWhat to do next
Students clicking rapidly with nothing writtenExploration without a questionPause the class; ask each student to write a prediction first
Screenshots with no interpretationRecording without explainingAsk: what does this show, and did you expect it?
“The sim says so”The model treated as realityAsk: what does the simulation leave out?
A few students waiting on a slow deviceAccess gapMove them to the printed route immediately; do not wait
+50 XP

Which step of Predict, Observe, Explain is most often skipped, and most important?

Without a prediction, the observation answers no question.
Quick self-check

How confident are you that you can run a tool activity with Predict, Observe, Explain?

Not yetVery confident

Standards this module helps you deliver: MP.5, MP.3, HSS.9-12.HR.4

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