stem507 | Graduate

Stem: Assessment Strategies

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This course explores the assessment and evaluation of K-12 student learning outcomes in STEM. The focus is on using multiple assessment tools and the construction of performance-based and project-based assessments. Participants examine a variety of data to inform instructional practice as well as evaluate the effectiveness of the assessment tools.

This graduate-level course is 4 To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 4

topic title goes here

    Evaluating Assessment Tools

    • Differentiate between validity and reliability in assessment tools.
    • Evaluate the effectiveness of STEM assessment tools.
    • Connect appropriate assessment tools to corresponding STEM-focused learning outcomes.

    Overview of Assessment

    • Describe the role of assessment in curriculum and instruction.
    • Explore various types of assessments for evaluating K–12 student learning outcomes.
    • Contrast formative and summative assessments.

    Performance-Based and Project-Based Assessments and Rubrics

    • Differentiate between performance-based and project-based assessments.
    • Analyze the unique role of performance-based and project-based assessments in the STEM classroom.
    • Construct a performance-based or project-based assessment aligned to state or national standards.
    • Summarize the purpose of rubrics in STEM education.
    • Identify the necessary components of a rubric.
    • Critique the clarity and usefulness of existing rubrics for STEM instruction.
    • Construct a rubric to evaluate student learning outcomes in STEM.

    Triangulating Data to Inform Instructional Decisions

    • Distinguish between qualitative and quantitative assessment data.
    • Identify multiple sources of data to assess STEM student learning.
    • Argue for the importance of triangulating data for comprehensive assessment.
    • Describe how to triangulate data to inform instructional decisions in STEM education.
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