An AI-powered instructional design skill that transforms traditional courses into high-retention learning environments using proven cognitive science principles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bookforge-evidence-based-classroom-designer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bookforge-evidence-based-classroom-designer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Evidence-Based Classroom Designer?
Evidence-Based Classroom Designer is a sophisticated framework for educators and instructional designers looking to move beyond passive lecturing and the common pitfalls of student cramming. By integrating this into your collection of Openclaw Skills, you can audit existing syllabi against six scientifically validated criteria: low-stakes retrieval practice, spaced review, interleaving, low-stakes consequences, transparency, and calibration feedback. This skill synthesizes research from cognitive psychology to help instructors build high-structure courses that significantly improve student achievement and retention.
The primary purpose of this skill is to provide a concrete, actionable roadmap for course redesign. It addresses the illusion of knowing that often leads to exam failure by replacing high-stakes-only assessments with a system of frequent, low-stakes interventions. This approach is particularly effective in gateway courses and high-structure disciplines like biology or economics, where it has been shown to close achievement gaps for under-prepared students.
Evidence-Based Classroom Designer Use Cases
- Reducing high failure or withdrawal rates in gateway university courses.
- Transitioning a traditional lecture-based curriculum to an active learning model without losing content coverage.
- Designing corporate training workshops that ensure skills are retained and visible 30 to 60 days post-training.
- Implementing cumulative, low-stakes quizzing systems to arrest the forgetting curve in K-12 environments.
- Creating transparency scripts to help students understand the value of desirable difficulties in their learning journey.
How Evidence-Based Classroom Designer Works
- The agent gathers a comprehensive course profile, including subject matter, class size, meeting frequency, and current assessment weights.
- It performs a rigorous audit against 6 evidence-based criteria to identify gaps in retrieval practice, spacing, and interleaving.
- A 4-part teacher protocol is applied to develop transparency modules, study strategy lessons, and classroom-specific difficulties.
- The skill generates specific intervention artifacts, such as cumulative quiz schedules, reflection exercises, and Bloom’s taxonomy answer keys.
- It produces a final redesigned-course-plan.md file containing a full assessment calendar and student-facing transparency materials.
Evidence-Based Classroom Designer Setup
To add this capability to your agent environment, use the ClawhHub CLI to install it alongside other Openclaw Skills. Run the following command in your terminal:
clawhub install bookforge-evidence-based-classroom-designer
After installation, ensure the agent has read/write access to your local files so it can process your syllabus and output the final markdown report.
Evidence-Based Classroom Designer Data Schema & Taxonomy
The skill produces a structured markdown document that organizes pedagogical interventions into a ready-to-use format. The data is categorized as follows:
| Component | Detail |
|---|---|
| Design Audit | A table mapping current course elements against 6 research-based learning criteria. |
| Transparency Module | A script or outline explaining the testing effect and growth mindset to students. |
| Assessment Calendar | A week-by-week timeline of quizzes, exams, and reflections with assigned grade weights. |
| Intervention Plan | A specific list of 3-5 high-leverage activities like board work or learning paragraphs. |
| Ground Rules | Policy templates for managing low-stakes practice, such as the no-makeup quiz rule. |
Evidence-Based Classroom Designer Advanced Features
- Seamless integration with the desirable-difficulty-classifier to audit individual learning tasks.
- Automated generation of spaced and interleaved schedules via the practice-schedule-designer hook.
- Tiered Bloom’s Taxonomy answer key generation for improved student calibration feedback.
- Support for hybrid execution mode where the agent handles structural logic while the instructor manages classroom adaptation.
- Cross-discipline scaling capabilities based on the Thayer method and Wenderoth’s high-structure biology research.
SKILL.md
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