A Notebook-Driven Workflow for Scalable Spaced-Repetition Content in Electrical Engineering
Year: 2026
Type: conference-paper
Abstract: Spaced-repetition systems (SRS) and digital flashcards are strongly associated with improved long-term retention, yet their systematic adoption in technical university courses is often limited by the authoring overhead required to create and maintain large, media-rich question banks. This paper describes a notebook-driven workflow that generates Anki-compatible decks from a structured spreadsheet template. The contribution is primarily technical: (i) a formally specified workbook schema used as the canonical representation of flashcard content; (ii) a Jupyter notebook that compiles the workbook into an Anki import file while preserving HTML-based image embeddings; and (iii) a lightweight media-management routine that extracts referenced assets and optionally normalises filenames to reduce broken links. The workflow supports course-level reuse through explicit configuration, topic-level modularity via multi-sheet workbooks, and record traceability through stable identifiers. The result is a pragmatic authoring pipeline intended to scale flashcard production and maintenance in Electrical Engineering curricula.
Institution: Universidad de Cantabria
Language: Spanish
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7214948685