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Extended Taxonomy Design Process (ETDP)

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 design), q1 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The ETDP, described by Kundisch et al. and adopted as this article's method, is an iterative, user-centered taxonomy design methodology with six phases: problem specification, objective definition (including a meta-characteristic and ending conditions), development, demonstration and analysis, evaluation, and communication. The article emphasizes that "the ETDP is inherently iterative, allowing taxonomy designers to continuously update, extend, and refine existing taxonomies without restarting the entire design procedure". It supports both empirical-to-conceptual and conceptual-to-empirical building approaches.

Accounts

  • Extended Taxonomy Design Process (ETDP) as an iterative method for building taxonomies: The ETDP, described by Kundisch et al. and adopted as this article's method, is an iterative, user-centered taxonomy design methodology with six phases: problem specification, objective definition (including a meta-characteristic and ending conditions), development, demonstration and analysis, evaluation, and communication. The article emphasizes that "the ETDP is inherently iterative, allowing taxonomy designers to continuously update, extend, and refine existing taxonomies without restarting the entire design procedure". It supports both empirical-to-conceptual and conceptual-to-empirical building approaches. (Dimitri Eckert et al. (2026))
  • Develop taxonomies iteratively through visible, dialogic testing against concrete examples: Following Bowker and Star's recommendation to enhance classification flexibility by "rendering the process of categorisation visible and classificatory voices retrievable," the article developed its taxonomy iteratively through a postdigital dialogue in which the initial prototype was tested and reconfigured against concrete examples. The dialogue involved a face-to-face workshop with four groups testing the taxonomy against shared examples, followed by written dialogue integrating elaborations and restructurings. This approach responds to the field's dynamicity and encourages readers' creative and flexible uses of the taxonomy. (Dohn et al. (2026))

Claims

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Key Sources

  • Dimitri Eckert and Christian Kautz. (2026). How Students (Mis)understand Conditionals and Loops – A Taxonomy. arXiv preprint. https://arxiv.org/abs/2605.26966v1
  • Dohn, N. B., Markauskaite, L., Huber, E., Wardak, D., Yang, H., Zeivots, S., Casey, A., van Diggele, C., Dohn, N. B., Mannix, K., Mantai, L., Pressick-Kilborn, K., Spence, N., Vallis, C., & Wilson, S. (2026). Collaborative Making of a Boundary Object for Classifying Generative AI Learning Activities. Postdigital Science and Education. https://doi.org/10.1007/s42438-026-00671-3
Page metadata
Field Value
type research-method
id extended-taxonomy-design-process-etdp
title Extended Taxonomy Design Process (ETDP)
description The ETDP, described by Kundisch et al.
status review
generated by process:settle-candidates on 2026-10-11
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