Science Task Prescreen

Task Title: New Haven Apizza Thermodynamics

Grade: High School

Date: 2024-04-24

SEP: Planning and Carrying Out Investigations

DCI: PS3.B: Conservation of Energy and Energy Transfer; PS3.D: Energy in Chemical Processes

CCC: Systems and System Models

Task Purpose: Assess students’ ability to plan an investigation and analyze data regarding thermal energy transfer from a hot object (oven components) to a cold object (pizza) resulting in uniform energy distribution.

Instructions

Prescreen Questionnaire

Question Yes No
1. Is there a phenomenon or problem driving the task? [x] [ ] 🚩
2. Can the majority of the task be answered without using information provided by the task scenario? [ ] 🚩 [x]
3. Can significant portions of the task be answered successfully by using rote knowledge (e.g., definitions, prescriptive or memorized procedure)? [ ] 🚩 [x]
4. Does the majority of the task require students to use reasoning to successfully complete the task? [x] [ ] 🚩
5. Does the task require students to use some understanding of disciplinary core ideas to successfully complete the task? [x] [ ] 🚩
6. Do students have to use at least one science and engineering practice to successfully complete the task? [x] [ ] 🚩
7. Are the dimensions assessed separately in the majority of the task? [ ] 🚩 [x]
8. Is the task coherent and comprehensible from the student perspective? [x] [ ] 🚩

Recommendation

Based on your assessment needs and the task purpose recorded above, make a recommendation about this task moving forward (choose one):

Summary

Summarize your evidence and reasoning:

The task uses a compelling real-world phenomenon (baking New Haven apizza) to drive the investigation of thermal energy transfer. Students must actively use the interactive simulation to plan an investigation, gather evidence on temperature changes, and reason with concepts like the Second Law of Thermodynamics and specific heat capacity. The task inherently links the SEP (Planning/Investigating), DCI (Energy Transfer), and CCC (Systems/Models), requiring multi-dimensional sensemaking rather than rote memorization. Therefore, it passes the pre-screener and is recommended for further review and use.