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A taxonomy of 17 cognitively-grounded flashcard interaction types across three learning categories

Design · All designs
Evidence · 1 claim (1 mixed) · 1 study (1 design), q1 · 0 of 1 report an effect size · 1 claim rests on one study

Description

Memdora's central design contribution is a taxonomy of 17 interaction types across three learning categories: Language (6 types), By Heart (1 type with 3 retrieval modes), and Exam (10 types). Each type is paired with a primary cognitive-science citation, e.g. Vocabulary is grounded in "retrieval practice [15]" and Concept in "elaborative interrogation [7]". The taxonomy is built on three principles: "retrieval effort produces retention", "format should match learning goal", and "transparency builds metacognition".

Design Implications

Context

Requirements

  • Each interaction type must be grounded in peer-reviewed cognitive science research with per-type citations and design rationale documented

Constraints

  • The efficacy of these types within Memdora, and in combination with FSRS-6 scheduling, has not been empirically evaluated

Target Learners

  • language learners
  • students preparing for exams
  • learners memorizing extended passages verbatim

Learning Goals

  • vocabulary and phrase acquisition in a target language
  • verbatim memorization of extended passages
  • conceptual understanding and exam preparation

Claims

Examples

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Key Sources

  • Ruiyang Zhang. (2027). Memdora: Designing Cognitively-Grounded Flashcard Interactions for AI-Powered Spaced Repetition. Proceedings of ACM International Conference on Intelligent User Interfaces (IUI '27). https://arxiv.org/abs/2607.25096
Page metadata
Field Value
type design
id memdora-17-interaction-type-taxonomy
title A taxonomy of 17 cognitively-grounded flashcard interaction types across three learning categories
description Memdora's central design contribution is a taxonomy of 17 interaction types across three learning categories: Language (6 types), By Heart (1 type with 3 retrieval modes), and Exam (10 types).
status review
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — ruiyang-zhang-2027

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