edblogcast tools and reflection guides
A growing collection of practice-ready tools and reflection guides developed by edblogcast to support thoughtful decision-making around AI, emerging research, and evolving practice in education.
A Practice-Ready Lens for Evaluating AI & Emerging Ideas in Education
A one-page reflection tool to help educators, researchers, and leaders pause before adopting new tools or practices — and clarify whether those tools or practices are ready to support instructional, assessment, or learning decisions.
Decision Readiness Check
A two-page reflection tool for teachers, instructional leaders, and district teams who are considering whether a new tool, initiative, or approach is actually ready for use in practice. It helps users examine the problem being addressed, the conditions under which the idea is expected to work, the day-to-day decisions it would shape, and what would be needed for consistent use across contexts.
Decision Mapping Tool
A one-page tool for teachers, instructional leaders, and district teams to examine how decisions are structured in practice within an instructional cycle. It helps users identify where decisions occur, what information informs them, how that information is interpreted, and what responses and follow-up are expected—so that decision-making can be enacted more consistently across contexts.
Decision Clarity Audit Tool
A one-page reflection tool for teachers, instructional leaders, and district teams to examine whether decisions guiding the use of a tool, initiative, or approach are clearly specified. It helps users clarify when and where use is expected, what information should inform decisions, how outputs or evidence are interpreted, and what responses and follow-up are appropriate—so that use is more consistent and aligned across contexts.
AI Literacy Thinking Tool
A one-page reflection tool for quick, in-the-moment judgment when considering whether an AI tool or idea adds value for students. It helps educators pause to clarify what the tool is supporting, what it does well or overlooks, and whether its use strengthens or complicates learning in that moment.
Applied Judgment Guide for Interpreting AI Recommendations
A multi-page guide to support educators, leaders, and researchers in interpreting AI-generated recommendations in context. It helps users examine how different types of AI systems shape attention, thinking, and action—and provides a structured approach for determining when a recommendation is warranted, what it may not account for, and where responsibility for decisions should remain.
TRACE: A Protocol for Interpreting Evidence in Educational Contexts
A two-page protocol to support educators, instructional leaders, researchers, and assessment teams in examining how evidence is produced, interpreted, and used across educational contexts, including AI-mediated contexts. TRACE provides a structured routine for considering what aspects of reasoning are observable, what contributions came from tools or supports, what claims the evidence can reasonably support, and whether resulting decisions align with the intended purpose or learning goal.
Explore our other resources
Visible Reasoning for Durable Learning
Language Processes in Disciplinary Learning
AI Interpretation in AI-Supported Systems
Using these tools in practice
These tools are designed to support how decisions are made in practice—how evidence is interpreted, how responses are shaped, and how consistency is supported across classrooms, teams, and systems.
If you’re working to strengthen how these decisions are carried out in your context, edblogcast also supports teams and organizations in developing shared approaches to interpretation, decision-making, and responsible use of AI-supported tools.
To connect, email team@edblogcast.com