Evidence-based learning platform

StudentClaw

Student Learning Log Platform

Student Learning Log Platform with Personalized AI Skills

Turn weekly evidence into mentor insight, learner profiles, and governed automation with clear review boundaries.

Why it matters

Evidence capture

Structured weekly reflections and supporting files are stored together so self-reporting and source evidence stay aligned.

Mentor visibility

Missing, parsing, pending review, and published states are visible from one protected workspace.

Governed automation

Summaries, skill candidates, and publish sync all keep mentor approval in the loop.

How it works
01
Fill the weekly log

Students submit completed work, blockers, and next-step plans.

02
Upload evidence

PDF, DOCX, XLSX, PNG, JPG, and WEBP attachments are uploaded directly for archival.

03
Mentor review

The system parses evidence asynchronously so mentors can review summaries, candidates, and publish states.

Privacy and consent
Uploaded files are used for teaching support, skill generation, and approved project extensions only.
The system stores submission time, file metadata, and review status for teaching operations.
Admin data is protected behind login and is not visible to public visitors.

StudentClaw Public UI v2 · Public-facing learning log entry