Artem1bar/ai-literacy-app
An AI-literacy course for students, professors and developers, with readings, quizzes and exercises. A configured backend adds a live Claude Prompt Lab; the documented public deployment offers the static course.
Workflow level n/a Source: Repository-documented Outcome: Not empirically evaluated here
Research applicability
README documents role-adaptive AI education with modules, exercises, templates and optional live Claude Prompt Lab; education assistance qualifies without a research paper.
Getting started
Static frontend for lessons; Node22/pnpm and Python3.13/uv for local setup; live Prompt Lab additionally requires backend configuration and Anthropic key.
Maintenance
Source snapshot checked 2026-11-01; ongoing maintenance, installed behavior and current-version parity not generally verified.
License
Consult original licence and data/provider terms; source access is not reuse clearance. No licence/rights audit or installation was performed.
Workflow & human oversight
Workflow level unassigned: Education content and learner-controlled model/token settings are documented, but a particular academic task with researcher checking is not. Missing task-level validation procedure; inspect a research-relevant module next. Human control/boundary: Education content and learner-controlled model/token settings are documented, but a particular academic task with researcher checking is not. Missing task-level validation procedure; inspect a research-relevant module next.
Workflow level is not an evidence score; higher is not better evidence.
Approach
README documents role-adaptive AI education with modules, exercises, templates and optional live Claude Prompt Lab; education assistance qualifies without a research paper. Documented steps: Learner selects role/module → reads/exercises → optional backend prompt lab; validation/stopping criteria for academic output not documented.
Outcomes (as reported by the originating team)
Author reports or documentation only, not independently reproduced. No independent reproduction was performed here.
Limitations
README-only educational resource; learning gains not established. Public deployment is documented as static, so live AI Lab availability must not be inferred.
Reproducibility
Primary-source text was read and preserved with provenance hashes. No candidate code, model, benchmark, data upload or claimed outcome was executed/reproduced.
Adoption requirements
Static frontend for lessons; Node22/pnpm and Python3.13/uv for local setup; live Prompt Lab additionally requires backend configuration and Anthropic key.
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