Tools & Templates / Learning & Curriculum
Learning & Curriculum Tools
Tools for turning subject-matter expertise into structured, timed, participant-ready learning experiences that another facilitator or reviewer can understand.
Prompt Lab — Prompt Literacy & Responsible AI
An install-free teaching tool for designing prompts as specifications, auditing what an existing prompt leaves implicit, and planning human review of AI-generated outputs. TRACE makes task, evidence, audience, constraints, output, uncertainty, and evaluation visible without treating prompt quality as a substitute for factual verification.
Four modes: design a prompt, audit a prompt, build an output-review plan, and teach core prompt-literacy principles. Private by design: the page runs locally and sends no entered text to an AI system.
AI Use Decision Lab — Risk, Verification & Disclosure
A companion to Prompt Lab that starts one step earlier: should AI be used for this task, and if so, what role should it play? The local-first tool surfaces privacy, source, consequence, inference, and automation risks; builds a human-review plan; and drafts a transparent AI-use record without treating disclosure as a substitute for verification.
Designed for teaching and practice: compare lower- and higher-risk scenarios, distinguish brainstorming from consequential decision support, and make human ownership visible before an output is submitted, published, scored, or acted on.
Curriculum / Workshop QA & Outline Builder
A planning and quality-assurance system for live, virtual, hybrid, asynchronous, and blended learning products.
Title, format, delivery mode, audience, promise, description, benefits, and target duration.
Objective builder plus automatic checks for agenda mapping, practice, and assessment.
Running total, remaining minutes, overtime flags, participant outputs, and objective mapping.
Purpose, participant instructions, expected output, required/optional status, and accessibility checks.
Timing, breaks, alignment, assessment, restricted tools, accessibility, description/agenda fit, and publication readiness.
Clean title, audience, description, benefits, objectives, and agenda pulled from the working sheets.
Built for handoff
The design asks whether another facilitator, instructional designer, program manager, or reviewer could understand what happens, why it happens, what participants do, what they receive, and how learning is checked without reconstructing the design from scattered notes.
A simple way to use it
- Define the audience, delivery format, learning promise, and target duration.
- Write measurable objectives and map each one to agenda content, participant practice, and a way to check learning.
- Build the timed outline and resolve overages, missing practice, accessibility needs, and materials gaps.
- Use the publish-ready output as the clean handoff after the working sheets pass QA.
Related tools
Project & operations tools · Research & writing tools · Portfolio case studies
Design Around a Real Decision — Curriculum Planning Canvas
A backward-design canvas for building courses, modules, workshops, and lessons around what learners need to decide, do, create, explain, evaluate, or solve in a real context.
Map starting conditions, prerequisite gaps, access needs, modality, technology, and evidence—not assumptions.
Define authentic performance first, then identify knowledge, evidence, language, skills, practice, and scaffolds.
Move from noticing and interpretation through supported practice to independent use in a new context.
Capture learner evidence, instructor handoff notes, update needs, and revision decisions for the next iteration.
Use with the QA workbook: this canvas decides what belongs in the learning experience; the Curriculum / Workshop QA & Outline Builder operationalizes timing, coverage, materials, assessment, and delivery.
Community Impact Level 6 Curriculum Architecture Map
A curriculum architecture map of the Summer 2019 Level 6 program: ten chapters and forty lessons moving from orientation and goal-setting through career research, employment communication, workplace rights, family literacy, further education, and next steps.
The map shows how practical adult decisions were paired with language/rhetorical objectives and how instructor handoff records captured mastery, alternatives, reinforcement needs, and notes for the next teacher.
Parent & Caregiver ELL Program Architecture Checklist
A reusable planning checklist informed by the 2020 Project Light / CRD Impact curriculum work. It helps designers connect learner needs, real-world actions, language development, digital literacy, mixed-level scaffolding, delivery modes, assessment, privacy, instructor handoff, and maintenance.
Align learner-facing materials, instructor guidance, and administrator/program operations.
Build around forms, school communication, appointments, portals, resources, self-advocacy, and other authentic tasks.
Treat devices, email, browsers, forms, maps, portals, and low-bandwidth alternatives as part of access and learning.
Separate learning evidence from compliance evidence and capture what the next instructor actually needs.
Hostos Grow with Google Career Readiness Guide
A large-scale applied example of this resource-design approach: a fillable career-readiness guide I updated for Hostos Community College, bringing assessment, résumé and cover-letter development, LinkedIn, interviewing, reflection, and reusable student tools into a coordinated participant resource.
The portfolio can display this institutional artifact with permission. It is presented as applied work rather than as a generic downloadable template; third-party and institutional material incorporated into the guide remains attributed to its source.
Teaching Statistics with R — Interactive Lesson
An install-free browser demonstration that pairs statistical ideas with the R code that would produce them. Learners can manipulate a Central Limit Theorem simulation, build a regression by clicking points, trace a dplyr data-wrangling pipeline, and complete a low-stakes knowledge check.
The demonstration is designed to show technical teaching and curriculum architecture without requiring a visitor to install R, open a notebook, or run code before they can explore the concepts.
Teaching NLP with Python — Interactive Lesson
An install-free browser lesson that makes the NLP pipeline inspectable: visitors can change preprocessing choices, run a small TF-IDF search, test a toy Naive Bayes classifier, and see the equivalent Python alongside each interaction.
The lesson keeps method limits visible—including stemming tradeoffs, low-similarity search behavior, unseen vocabulary, and bag-of-words weaknesses—while letting a visitor use the demonstration without installing Python or opening a notebook.