Voice-to-text tools and implementation strategies for students with writing or physical disabilities. Addresses software selection, student training, and editing workflows to increase independence in written expression.
A comprehensive, de-duplicated reference guide for educators organizing evidence-based accommodations across seven core domains: visual-spatial deficits, attention, organization, self-esteem, writing, math, and testing/environmental accommodations.
A comprehensive 15-session self-advocacy series designed for high school students with learning disabilities and ADHD, focusing on identifying challenges and requesting supports.
A 5-lesson unit for 8th-grade students focusing on using digital tools to offload working memory and manage cognitive load. Students learn to use task managers, focus modes, sequential reminders, and assistive speech technologies to create a personalized digital workflow for school success.
This graduate-level sequence prepares educators to evaluate and select assistive writing technologies using evidence-based frameworks like SETT. It covers the neurology of dysgraphia, technical analysis of speech-to-text and word prediction, and the legal requirements for IEP implementation.
A 5-lesson sequence designed for 9th-grade students in an academic support setting to master digital annotation, highlighting, and collaborative text analysis tools. The sequence focuses on transitioning traditional paper-based strategies to digital environments like Google Docs and PDFs, emphasizing visible thinking and peer collaboration.
A comprehensive graduate-level sequence focused on the pedagogical implementation of assistive writing technology. It shifts the focus from tool selection to instructional methodologies that scaffold digital organizers, dictation, and text-to-speech for student autonomy.
This sequence prepares pre-service teachers to evaluate, select, and implement assistive technology (AT) tools specifically designed for students with dysgraphia and physical motor impairments. Students will move from understanding neurological barriers to designing comprehensive, data-driven AT implementation plans.
