Maker Learning Log

The tool records learning sessions for makers and students by capturing a user identity, start and end times, and optional context like module, topic, and mood. It computes duration automatically and assigns a simple progress score to gauge engagement. Conceptually, it treats each session as a discrete data point that feeds into reports and reflections, enabling ongoing improvement. It supports topic tagging via a primary topic and related tags, producing a consolidated list of topics covered in the session. Data is stored with UTC normalization to ensure consistency across time zones and can be exported for further analysis. The system targets individual learners, workshop participants, and educators who need auditable practice logs, not LMS-grade data. Unique value lies in its privacy-first, offline-capable design and clear export paths for self-assessment, coaching notes, and progress reporting. Core features include required inputs (user_id, session_start, session_end), automatic duration calculation, basic mood tagging, and a straightforward progress metric. Use cases include after-a-session reflections, daily practice tracking, and short-form progress summaries for mentors. The tool remains lightweight to minimize overhead while providing reliable, machine-readable logs for analytics and improvement planning.