Micro-Models and Reasoned Estimates Mini-Assessment

Author: Student Achievement Partners

  • Description
  • Files

This mini-assessment explores two forms of mathematical modeling, specifically what might be called "micro-models" and making reasoned estimates. This mini-assessment is designed for teachers to use in the classroom, for self-learning, or in professional development settings to:

  • Evaluate students' understanding of mathematical modeling in order to prepare to teach this material or to check for student ability to demonstrate understanding and application of these concepts;
  • Gain knowledge about assessing micro-model and reasoned-estimate application problems; and
  • Use in professional development as an illustration of CCSS-aligned assessment problems.

  • Making the Shifts

    How does this mini-assessment exemplify the instructional Shifts required by CCSSM?

    Focus Belongs to the major work of seventh grade
    Coherence Builds on earlier problem solving skills (e.g., 4.OA.B.3, 5.NF.B.6, 6.RP.A.3, 6.EE.C.9) and lays the foundation for future work with the full modeling cycle

    Conceptual Understanding: not targeted in this mini-assessment

    Procedural Skill and Fluency: not targeted in this mini-assessment

    Application: primary in this mini-assessment

  • Noteworthy features of this resource
    • Mathematically:
      • Assesses different types of application problems with appropriate sophistication to grade 7
      • Continues the progression of solving word problems with increasingly difficult number systems
      • Requires students to identify and define their own variables
      • Requires mathematical reasoning based on understanding of operations and magnitude
    • As a mini-assessment:
      • Uses a variety of scaffolding techniques to ensure that all students are able to access the content at some level
      • Offers multiple rubrics with a variety of formats and structures so that teachers may adapt to fit their needs
      • Engages students through problems with rich contexts

Supplemental Resources