Topic lists for text prediction lets you select from your vocabulary lists to give text prediction greater context, prioritizing specific terminology and domain vocabulary in suggestions as students type.
Why it matters:
Supports vocabulary development in specific content areas by surfacing relevant academic language
Helps multilingual learners and students with word-finding difficulties access discipline-specific terms they may struggle to retrieve or spell
Builds confidence in content writing by reducing the cognitive load of recalling and spelling specialized vocabulary
Enables differentiated support across subjects—load a science list for lab reports, a history list for essays
MTSS:
Tier 1: Universal vocabulary scaffolding for all students writing in content areas
Tier 2/3: Targeted support for students who need explicit vocabulary access to participate in grade-level writing tasks
UDL Principles:
Multiple means of action & expression: reduces barriers to expressing content knowledge by scaffolding access to academic vocabulary
Supports students who know concepts but struggle to retrieve or encode the precise terminology
Bonus Points:
Ideal for content-area writing, research projects, and subject-specific assessments. Pair with vocabulary lists you've already built or import topic-specific word banks to match your curriculum.
Try it
Click the Mote extension icon to open the Sidebar
Navigate to the text prediction tool
Click the topic list dropdown
Select the vocabulary list you want to use for context
Start typing—suggestions will now prioritize vocabulary from your selected list
