Module 5

Medium

Module 5 - Universal Screening

Description

This module begins with the review of a background knowledge flyer prepared by the data coach. The flyer includes key vocabulary and concepts relevant to universal screening. The module continues with a teacher navigating the A+ Inquiry data utilization framework to conduct universal screening on all students in her classroom using an interim reading assessment. Participants will be given access to an A+ Inquiry graphic organizer, universal screening flyer, and universal screening table that will be completed during the module. The module includes 4 sections (parts 1, 2, 3, and 4). Each part comprises multiple mastery-based chunks of content. If a participant answers all items correct in the activity portion of a chunk, the participant skips the accompanying tutorial and proceeds to the activity portion of the next chunk.

Learning Goals

Part 1 - Universal Screening: Background Knowledge

Increase knowledge of the purpose of universal screening
Increase knowledge of vocabulary relevant to universal screening

Part 2 - Universal Screening: Absorb, Ask, Accumulate, Access

Increase knowledge of questions that may be formulated to guide the inquiry cycle for identifying at-risk students
Increase knowledge of data that may be useful for identifying at-risk students
Increase knowledge of locations where data utilized for identifying at-risk students may be retrieved

Part 3 - Universal Screening: Analyze and Answer

Increase skill in analyzing data to identify a student’s risk status
Increase knowledge of limitations that may affect analysis findings relevant to a student’s risk status

Part 4 - Universal Screening: Announce and Apply

Increase knowledge of how a student’s risk status may be communicated to appropriate stakeholders
Increase knowledge of decisions that may be made based on a student’s risk status

SLDS Data Use Standards

K.1.A Question Formation: Knows which questions can be answered with data and how to identify the nature and extent of the data needed to answer questions
K.3.B Data Limitations: Knows that data have limitations and that these limitations affect the interpretation and usefulness of data
K.1.C Types of Data: Knows that data come in two main forms— QUANTITATIVE and QUALITATIVE—and that, within these forms, there are other categories
K.1.D Types of Measures: Knows various types and purposes of ASSESSMENTS and other MEASURES
K.1.E Data Metric: Knows that MEASURES can be broken down into data metrics, which are calculated for ANALYSIS and monitored for changes
K.1.F Data Sources: Knows different types of data sources and the benefits and limitations of using each
K.2.C Data Collection: Knows that DATA COLLECTION can be performed using different methods and at different points in time
K.2.D Data Context: Knows the circumstances and purposes for which data are collected
S.1.D Data Meaning: Identifies different types of data and can explain specific DATA DEFINITIONS and how data are collected and formatted
S.2.A Data Discovery and Data Acquisition: Identifies and locates appropriate data sources and can access the data from various sources (e.g., classroom, school, district, state sources) for DATA ACQUISITION
S.2.B Critical Evaluation: Knows how to perform CRITICAL EVALUATION on data sources for reputability, quality (including validity and reliability), relevancy, and ability to address the identified need
S.4.C Aligned Analysis: Using appropriate technologies, conducts ANALYSIS suitable for the type of data collected, the VARIABLES identified, and the questions or hypotheses posed
S.5.C Patterns: Identifies patterns, TRENDS, and gaps in data and suggests reasons for their occurrence
S.6.B Explanation: Explains different data representations and distinguishing features (e.g., histograms, bar charts, contingency tables)
S.6.C Multiple Audiences: Communicates effectively about data, interprets FINDINGS, and explains progress toward goals to a variety of constituent groups (e.g., students, families, and colleagues)
S.7.A Strategies: Identifies appropriate strategies grounded in evidence to address the needs and goals identified during data ANALYSIS