A teacher-facing discussion guide designed to facilitate engaging, relatable conversations for 9th graders about relationship dynamics, social media, and supporting friends.
A student-facing reflection worksheet where they can log a real-life schoolwork 'glitch' they experienced and document how they used the debugging protocol to solve it.
A visual slide deck to introduce the 'Glitch Fixer' metaphor and the debugging protocol steps to students.
A set of scenario cards for practice, featuring realistic schoolwork frustrations and a discussion guide for matching them to the 'Glitch Fixer' protocols.
A visual one-page flowchart that uses a tech-support 'debugging' metaphor to help students step through schoolwork frustration. Includes detection, cooling, diagnostics, and solution tools.
A quick assessment for students to reflect on the 1-10-100 rule and commit to a specific accuracy habit.
A multi-page student worksheet featuring three distinct professional case studies (Architecture, Software Development, and Management) to calculate rework costs, followed by personal reflection and strategy sections.
A detailed facilitator script for the First Time Right slides, providing word-for-word talking points, discussion prompts, and instructional guidance for the teacher.
A 7-slide presentation deck designed for 9th graders, using a "Blueprint" aesthetic to explain the economic and personal benefits of accuracy and "first-time right" habits.
A comprehensive 45-minute lesson plan for teachers, detailing the pacing, objectives, and sequence of the "First Time Right" curriculum for 9th graders.
A reference sheet for students featuring four pocket-sized reference cards for each step of the SIFT method, along with a quick-glance list of digital red flags.
A three-page teacher guide providing instructional scripts, facilitation notes, and a cleaned-up answer key for the 'Signal vs Noise' lesson and its 13 worksheet scenarios, now including 3 real news scenarios for comparison.
A 6-slide visual presentation titled 'Signal vs Noise' that teaches the SIFT method for identifying fake news, deepfakes, and clickbait scams, including a framework overview and deep dive into AI manipulation.