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
Worked on the bootstrapworld/curriculum repository to enhance AI education materials, focusing on decision trees and self-driving car lessons. Improved lesson content by refining machine learning terminology, clarifying data representations, and updating age categorization to support better student understanding. Applied technical writing and curriculum development skills to standardize language, improve localization, and ensure consistency across educational modules. Addressed repository hygiene by removing stray temporary files, maintaining a clean codebase for future contributions. Used adoc for documentation and leveraged expertise in machine learning concepts and content localization to deliver updates that clarify how datasets relate to models and modeling predictions.
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 peopleWork 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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