taxonomy

Learning Paths

Choose a short, focused sequence for the computing or AI-assisted learning task you need to complete.

Learning paths are grouped into larger collections. Within each collection, the paths appear in a recommended order, but you do not need to complete every path. Start with the collection and practical outcome that match your current task.

Collection

Student Computing Foundations

Build durable mental models and practical habits for files, terminals, programming, knowledge management, projects, and responsible AI-assisted learning.

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01 7 guides Build the Right Mental Model Establish a working log, define requirements, control complexity, and make changes the student can understand and reverse. 02 6 guides Plain Text as a Durable Foundation Learn when plain text, Markdown, CSV, office documents, and generated files belong in a durable student workflow. 03 5 guides Files, Organization, and Recovery Organize academic files, distinguish sync from backup and Git, and verify that important work can be recovered. 04 7 guides Terminal and CLI Foundations Understand terminals, shells, commands, help systems, pipelines, inspection, and safe command-line habits. 05 7 guides Personal Knowledge Management Choose and maintain a small note system based on the type of information you need to capture and retrieve. 06 10 guides Programming Environment and Git Understand the development environment, practice a repeatable programming loop, and use Git as an observable project history. 07 9 guides Responsible AI-Assisted Learning Ask focused questions, preserve independent reasoning, review generated work, and follow course AI policies. 08 10 guides From AI Conversation to Reusable Workflow Turn useful AI-assisted work into verified notes, checklists, scripts, repository instructions, and reusable skills. 09 8 guides Projects, Debugging, and Professional Habits Structure projects, define completion, test assumptions, diagnose failures, and preserve evidence of your work. 10 4 guides Recovering When School Gets Messy A practical recovery path for students dealing with damaged files, lost code, broken tools, missed deadlines, and the work of preventing a repeat. 11 4 guides From Course Materials to a Working System Turn syllabi, LMS downloads, notes, and milestones into a small course workspace you can inspect and maintain. 12 2 guides Semester Setup and Course Mapping Check access, course requirements, files, tools, and recovery evidence before a new term begins. 13 5 guides Research, Evidence, and Explainable Sources Trace research to original evidence, identify the work, match claims to sources, compare studies, and preserve usable research notes.

Collection

Platform Implementation

Apply the platform-neutral principles through operating-system-specific setup, maintenance, and recovery instructions.

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01 10 guides Windows for Student Computing Configure Windows accounts, storage, PowerShell, WinGet, development environments, backups, and recovery for college work. 02 7 guides macOS for Student Computing Configure Mac accounts, Terminal and zsh, app and developer tooling, reproducible setup, and recovery for college work. 03 9 guides Linux for Student Computing Choose and maintain a Linux distribution, permissions, shell, packages, developer tools, reproducible setup, and recovery.