This lesson, featuring Karen McWilliams, a 504 Coordinator and Dyslexia Teacher in Rochelle ISD in Texas, supports educators in using technology to teach foundational reading skills to students in elementary grades. During this virtual literacy lesson, students engage in a variety of facilitated activities to support phonemic awareness, phoneme–grapheme correspondence, irregular and high-frequency words, writing, and connected text. Educators may present this lesson to students one-on-one or in a small group. The templates were adapted from content developed by the University of Florida Literacy Institute to support educators implementing virtual instruction. The collection includes a tip sheet, a video examples, and slides illustrating the lesson.
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This is part 4 of the module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part of the module is intended to provide participants with guidance for identifying skills to target in reading and math interventions.
This is part 3 of the larger module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part is intended to provide participants with an introduction to error analysis of curriculum-based measures for the purpose of identifying skill deficits and providing examples of error analysis in reading and mathematics. Part 4, “Identifying Target Skills,” will further link these skill deficits to intervention.
These videos illustrate how parents and grandparents can implement the NCII reading and mathematics sample lessons to provide additional practice.
This example illustrates the virtual implementation of EL Education’s Decoding and Spelling assessments.
This resource developed by Sarah Thorud, Elementary Reading Specialist from Clatskanie School District in Oregon focuses on implementing screening and progress monitoring virtually. It includes guiding questions and considerations for implementation, video examples, and a sample sign-up sheet for screening and progress monitoring students virtually.
This is part 1 of the larger module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part is intended to provide an overview of common general outcome measures (GOM) used for progress monitoring in reading and mathematics, with guidance on selecting an appropriate measure.
This training module demonstrates how academic progress monitoring fits into the Data-Based Individualization (DBI) process by (a) providing approaches and tools for academic progress monitoring and (b) showing how to use progress monitoring data to set ambitious goals, make instructional decisions, and plan programs for individual students with intensive needs.