Screening and assessment provide valuable information about each child's interests, strengths, and needs. Screening gives a snapshot of whether the child's development is on track. Assessment is an ongoing process that includes observation and provides information about development over time. Systematic, ongoing child assessment provides information on children's development and learning. It helps inform curriculum planning, teaching, and individualizing for each child across all Head Start Early Learning Outcomes Framework domains.
Learn how program leaders can use ongoing child assessment activities—Prepare, Collect, Aggregate and Analyze, and Use and Share—to support children's development and learning at different program levels.
Discover strategies to make assessments in home-based programs more collaborative and supportive of parent's knowledge of and role in their child's healthy development.
Learn how observing children is a key part of what education staff in Head Start infant toddler programs do daily. Observation involves focus, purpose, and watching and listening to learn about individual children.
Learn about ways to observe infants and toddlers—a key part of the ongoing child assessment cycle. Explore strategies to support this important component of quality infant and toddler care.
In this tip sheet, learn about ways to plan and implement ongoing assessment procedures and practices. Also, find relevant Head Start Program Performance Standards and resources.
Explore information about developmental screening, selecting screening tools, process, timing, and more.
Discover key strategies program leaders should consider when screening children who are dual language learners (DLLs).
Use this learning module in professional development settings. Learn more about ongoing child assessments, and find out how to gather data and share it with families.
Data stories can bring numbers and figures to life. Learn now they can convey important information to different audiences in a way that promotes listening, understanding, discussion, and decision-making.
A data narrative is a summary of a data set that draws conclusions and makes comparisons to explain the meaning of data in detail. In this tip sheet, learn how to decide what to include in your narrative.