bootstrapworld/curriculum
Jul 2025 – Jul 2025
1 Month active
Languages Used
adoc
Technical Skills
AI EducationContent LocalizationCurriculum DevelopmentDocumentationMachine Learning ConceptsMachine Learning Education
Kathi Fisler
PROFILE
Kathi Fisler
In July 2025, Kathi Fisler enhanced the bootstrapworld/curriculum repository by refining AI education content and improving curriculum clarity. She updated the Decision Trees lesson to standardize terminology, clarify modeling predictions, and refine data representations, ensuring students better understand supervised learning concepts. Her work included content localization and documentation improvements, using adoc for technical writing and curriculum development. Kathi also revised the Self-driving Cars lesson to introduce explicit model terminology, clarifying the relationship between models and data. Additionally, she maintained repository hygiene by removing stray files, demonstrating attention to detail and a thoughtful approach to educational content engineering and maintenance.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
2
Lines of code
362
Activity Months1
Your Network
5 people
Work History
July 2025
11 Commits • 2 Features
Jul 1, 2025July 2025 (2025-07) — Delivered major pedagogy updates and hygiene fixes in bootstrapworld/curriculum. Key deliverables include: 1) Decision Trees Lesson Content Improvements (AI supervised learning) with corrected lesson goal, standardized terminology (root nodes, decision nodes, splitting), refined data granularity (age categorization), updated data representations, and localization refinements. The changes also clarify that "make predictions" is part of modeling predictions and strengthen explanations of how datasets relate to models. Implemented across multiple commits to ensure comprehensive coverage. 2) Self-driving Cars Lesson Terminology Update introducing explicit model terminology and clarifying that models are summaries of data (often lossy). 3) Maintenance: removed stray temporary/lock file to avoid repository clutter. Impact: improves student understanding, ensures consistency across lessons, and reduces confusion, while maintaining a clean, well-documented codebase for future work. Technologies/skills demonstrated: educational content design, ML terminology standardization, data representation updates, localization, and basic repository hygiene.”
11 Commits • 2 Features
Jul 1, 2025July 2025 (2025-07) — Delivered major pedagogy updates and hygiene fixes in bootstrapworld/curriculum. Key deliverables include: 1) Decision Trees Lesson Content Improvements (AI supervised learning) with corrected lesson goal, standardized terminology (root nodes, decision nodes, splitting), refined data granularity (age categorization), updated data representations, and localization refinements. The changes also clarify that "make predictions" is part of modeling predictions and strengthen explanations of how datasets relate to models. Implemented across multiple commits to ensure comprehensive coverage. 2) Self-driving Cars Lesson Terminology Update introducing explicit model terminology and clarifying that models are summaries of data (often lossy). 3) Maintenance: removed stray temporary/lock file to avoid repository clutter. Impact: improves student understanding, ensures consistency across lessons, and reduces confusion, while maintaining a clean, well-documented codebase for future work. Technologies/skills demonstrated: educational content design, ML terminology standardization, data representation updates, localization, and basic repository hygiene.”
July 2025
Activity
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Quality Metrics
Correctness85.6%
Maintainability84.6%
Architecture81.8%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
adoc
Technical Skills
AI EducationContent LocalizationCurriculum DevelopmentDocumentationMachine Learning ConceptsMachine Learning EducationTechnical Writing
Repositories Contributed To
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