Steam Dreams: Engines of Expansion

Learning Goals & Products

Learning Goals

Students will be able to explain steam engines and heat-powered models by tracing how thermal energy changes into motion and kinetic energy.

Students will be able to construct and interpret graph data about kinetic energy, mass, and speed from lab investigations.

Students will be able to analyze how steam engines changed western expansion, transportation, migration, immigration, settlement, and trade in the United States.

Students will be able to explain how technological developments interact with the physical environment, economy, and ecosystems.

Students will be able to create a double timeline that connects steam engine inventions with industrialization and U.S. expansion using evidence from sources and fieldwork.

Students will be able to evaluate evidence from community partners, field experiences, and historical sources for relevance and reliability.

Students will be able to collaborate to revise investigation claims and presentations based on peer critique and reflection.

Products

individual

Steam Power Investigation Notebook

A research notebook that documents each student's question, lab method decisions, data tables and graphs, source notes, and personal analysis. It must show how the student used evidence to refine a claim about steam power and its effects.

team

Steam Engines and Western Expansion Evidence Exhibit

A team exhibit and presentation that combines a double timeline, shared findings, graphs, model evidence, and a defended conclusion about how steam power changed movement, migration, settlement, and the environment. The team must explain methodology, address conflicting evidence, and answer visitor questions during the showcase.

Rubric

Competency Progression Rubric Competency-first rubric

Category	Learning Goal	Stage 1	Stage 2	Stage 3	Stage 4
Deeper Learning Competencies	Critical Thinking & Problem Solving	I can collect kinetic-energy data from my heat-powered/steam-motion tests and record mass and speed values in organized tables so I can use them to answer descriptive questions (e.g., how KE relates to mass or to speed).	I can construct and interpret a graph to describe how kinetic energy changes with mass (holding speed roughly constant) and how kinetic energy changes with speed (using comparable masses), and I can explain the patterns I notice using evidence from my data.	I can compare and evaluate multiple graphs/data sets to decide which relationship is supported more strongly (KE vs mass or KE vs speed), noting limits such as measurement error and inconsistent conditions, and I can revise my reasoning based on that evidence.	I can use my graphs and reasoning to make and justify predictions about steam-powered motion in real-world situations from our investigations, and I can connect those patterns to how technological decisions affected movement, trade, or settlement while clearly stating what evidence supports my claims.
Deeper Learning Competencies	Effective Communication	I can clearly present my lab and historical observations to others using age-appropriate words, labels, and a simple explanation that connects my model and data to one claim about steam and movement.	I can communicate my findings with supporting evidence by creating accurate graphs (and describing the trends) and explaining how kinetic energy changes with mass and separately with speed, using correct vocabulary.	I can explain relationships and cause-and-effect across science and history by linking my kinetic energy data and graph trends to how steam technology affected transportation, migration, and settlement, while addressing evidence-based details from fieldwork or community sources.	I can refine and deliver a complete, audience-ready message by revising my explanations using feedback, comparing multiple perspectives, and using my double timeline plus lab graphs to make a well-supported claim about how steam power changed the environment and economy.
Deeper Learning Competencies	Collaboration	I can work with my team to complete shared tasks for the heat/steam lab and model, following roles and timelines with minimal reminders I can contribute one part of the kinetic-energy data collection (e.g., mass, speed, or trial results) and help record observations neatly so our group graph can be made.	I can co-design and coordinate a plan with my team for the steam-motion model and kinetic energy graphs, using agreed-upon roles and procedures I can use our lab results to help draft a descriptive claim about how kinetic energy changes with mass and with speed, and I can ask for input to revise our evidence notes.	I can collaborate to troubleshoot and refine our model, data table, and graphs by incorporating peer feedback and team decisions I can help connect our kinetic energy patterns to historical/real-world contexts from fieldwork or partners (e.g., steam travel’s impact on movement/trade/settlement) and contribute a clear explanation supported by our evidence.	I can lead collaborative refinement by using feedback from peers and expert reviewers to strengthen both our science graphs and our historical interpretation in the double timeline I can facilitate shared decision-making (e.g., resolving disagreements, justifying revisions with evidence, and communicating respectfully) and produce polished team outputs for the public showcase with reliable, well-explained connections across claims, data, and history.
Deeper Learning Competencies	Content Expertise	I can construct and label graphs from my lab data and describe the general pattern I observe between kinetic energy, mass, and speed (for example, “as mass increases, kinetic energy changes”).	I can use my graphs to explain descriptive relationships by separating how kinetic energy changes with mass from how it changes with speed, using specific data points or trends from my own results.	I can interpret my kinetic energy graphs to support claims about motion and energy transfer in steam-powered models, and I can connect those results to how steam technology affected transportation and settlement patterns.	I can use my graph evidence (and historical/community evidence) to make an accurate, well-reasoned explanation of how steam-powered innovations changed movement, trade, and migration while also describing how technological change interacts with the physical environment and people’s choices.
Deeper Learning Competencies	Self Directed Learning	I can follow a planned lab and research process, record data in tables, and use teacher/model prompts to check whether my kinetic-energy graphs match my measurements for mass and speed.	I can independently decide what to change and measure during my thermodynamics/kinetic-energy work, create graphs that clearly show descriptive relationships, and use feedback to revise errors in my data displays.	I can use my graphs and lab evidence to describe how kinetic energy changes with mass and with speed separately, set goals based on peer/expert feedback, and justify how revisions improve my model, calculations, and explanations.	I can monitor my own learning by comparing my results to expected patterns, identify and explain limitations in my graphs and evidence, and revise my claims and timeline connections using feedback while making a clear, accurate case about how technology and decisions affect the physical environment.