Science Task Prescreen

Task Title: Connecticut Coastal Erosion & Sea-Level Rise Simulator Task

Grade: High School

Date: 2023-10-27

SEP: Analyzing and Interpreting Data

DCI: ESS3.D: Global Climate Change

CCC: Stability and Change

Task Purpose: Assess student ability to analyze and interpret computational model data regarding the effects of sea-level rise and the effectiveness of coastal mitigation strategies, in order to construct an evidence-based argument for coastal resilience.

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 successfully uses an anchoring phenomenon (Connecticut coastal erosion) to drive a three-dimensional learning experience. Students must use the computational simulator to collect data and reason through the effects of different emissions scenarios and mitigation strategies. Rote memorization is insufficient to answer the prompts, and the dimensions (Analyzing Data, ESS3.D, Stability and Change) are integrated into a cohesive argumentation and modeling evaluation.