A Bloom’s Digital Taxonomy For Evaluating Digital Tasks

This Bloom’s Digital Taxonomy helps teachers evaluate and design digital tasks like ChatGPT use, blogging, podcasting, and more.

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See also Examples of Bloom’s Taxonomy in the Classroom

Bloom’s Digital Taxonomy (2025): Levels & Digital Verbs

Bloom’s Digital Taxonomy (2025): Levels, Digital Verbs, and AI-Aware Classroom Examples

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Summary: A practical update to Bloom’s Digital Taxonomy that aligns cognitive levels with digital verbs and AI-aware classroom applications. Use it to map technology-rich tasks to the level of thinking you want students to demonstrate and to design beyond low-level digital busywork.

Keywords: Bloom’s Digital Taxonomy, digital verbs, AI in education, lesson design, assessment


What This Page Covers

Bloom’s Digital Taxonomy extends the revised taxonomy into technology-rich contexts. It emphasizes verbs and tasks native to digital environments and clarifies how AI tools can support, extend, or hinder thinking at each level (Anderson & Krathwohl, 2001; Churches, 2009). Below you’ll find a quick-reference list of digital verbs and level-by-level examples that are ready to adapt to your classroom.

For a traditional, non-digital list of verbs by level, see Bloom’s Taxonomy Verbs. If you’re newer to the framework, start with What Is Bloom’s Taxonomy? for a clear overview, then come back here to plan tech-rich tasks.

Digital Verbs Quick Reference

Use these verbs during planning to align tasks with the intended level of thinking. Pair with the examples that follow.

Remember: bookmark, tag, subscribe, retrieve, list, locate, capture, screenshot

Understand: comment, annotate, organize, categorize, summarize, thread, react, highlight

Apply: edit, format, prototype, simulate, configure, deploy, record, embed

Analyze: compare, visualize, trace, version, inspect, cluster, query, audit

Evaluate: review, verify, curate, moderate, peer-assess, cite, attribute, fact-check

Create: compose, code, publish, remix, storyboard, render, prompt, orchestrate

Remember

Goal: recall facts, terms, and basic concepts.

Teacher cues

  • Identify, list, define, match, label, recall.

Digital verbs: bookmark, tag, subscribe, retrieve, list, capture, screenshot

AI-aware classroom examples

  • Create a shared bookmark folder of core sources. Students add captured screenshots and one-sentence labels.
  • Use a class glossary where students tag terms and retrieve definitions during a timed recall activity.
  • With AI: have students ask an AI to generate five distractor terms mixed with real ones, then identify the correct set and justify choices.

Assessment ideas

  • Auto-graded recall quiz built from the class glossary.
  • “Find and label” screenshot set with a rubric for accuracy and clarity.

Pitfalls

  • Confusing collection with understanding. Add short rationales to demonstrate more than gathering.

Understand

Goal: explain ideas or concepts; show comprehension.

Teacher cues

  • Explain, classify, summarize, compare, infer, exemplify.

Digital verbs: comment, annotate, organize, categorize, summarize, thread, react, highlight

AI-aware classroom examples

  • Threaded annotation of a primary source with highlights and short rationales linked to key terms.
  • One-sentence summaries for each paragraph using your summary frame; compare interpretations in pairs.
  • With AI: students generate two alternative summaries at different reading levels, then critique which preserves meaning best and why.

Assessment ideas

  • Annotation rubric that scores selection, accuracy, and insight.
  • Concept map scored for correctness and clarity of relationships.

Pitfalls

  • AI-produced summaries can mask gaps. Require a “why this is the best summary” reflection.

Apply

Goal: use information in new but structured situations.

Teacher cues

  • Implement, perform, execute, solve, demonstrate.

Digital verbs: edit, format, prototype, simulate, configure, deploy, record, embed

AI-aware classroom examples

  • Configure a science simulation, record a screencast walk-through, and explain parameter choices.
  • Embed a prototype (slide deck or low-code app) into a portfolio; add a 90-second voiceover describing how it meets constraints.
  • With AI: prompt an AI “coach” for setup tips, then document which were used and why.

Assessment ideas

  • Checklist for procedural accuracy and evidence of transfer.
  • Short oral defense that explains choices and outcomes.

Pitfalls

  • Over-scaffolded templates can reduce thinking. Keep constraints, not step-by-step answers.

Analyze

Goal: break information into parts and explore relationships.

Teacher cues

  • Differentiate, organize, attribute, compare, deconstruct.

Digital verbs: compare, visualize, trace, version, inspect, cluster, query, audit

AI-aware classroom examples

  • Version two drafts of an argument and visualize changes; annotate why each change improves the claim or evidence.
  • Cluster sources by claim type and audit credibility signals. Build a table that pairs source claim with verification tactic.
  • With AI: generate a counter-argument outline, then trace which parts are weak and replace them with evidence from vetted sources.

Assessment ideas

  • Rubric for reasoning quality, evidence selection, and structure.
  • Side-by-side “before vs after” analysis with written justifications.

Pitfalls

  • AI may fabricate or over-generalize. Require links to sources and a short verification log.

Evaluate

Goal: justify a decision or judgment using criteria and standards.

Teacher cues

  • Critique, defend, appraise, verify, prioritize, justify.

Digital verbs: review, verify, curate, moderate, peer-assess, cite, attribute, fact-check

AI-aware classroom examples

  • Peer-review a class set of infographics using a shared rubric; write a short justification for the top three selections.
  • Moderate a discussion by curating the strongest claims, linking each to its evidence and credibility score.
  • With AI: run generated claims through a fact-checking workflow, then document corrections and final judgment.

Assessment ideas

  • Rubric emphasizes criteria selection, evidence quality, and transparency of reasoning.
  • Short “why this, not that” reflection that defends final choices.

Pitfalls

  • Binary “right vs wrong” judgments. Require criteria first, then apply them visibly.

Create

Goal: put elements together to form a new, coherent product or point of view.

Teacher cues

  • Design, compose, construct, plan, produce, author.

Digital verbs: compose, code, publish, remix, storyboard, render, prompt, orchestrate

AI-aware classroom examples

  • Storyboard and publish a multimedia explainer with citations and alt text for accessibility.
  • Create a mini-podcast series with show notes that explain how each episode advances the thesis.
  • With AI: design an AI-assisted workflow (prompt, draft, peer review, revision, publish). Turn the workflow into a diagram and explain each decision.

Assessment ideas

  • Product rubric plus process “maker’s notes” that document key choices and revisions.
  • Public-facing criteria: usefulness, clarity, originality, ethical sourcing.

Pitfalls

  • Over-reliance on AI for drafting. Require visible iteration, source logs, and author commentary.

Planning With Digital Verbs

  • Start with outcomes. Choose the level first, then select digital verbs and tools that fit the thinking.
  • Add constraints, not recipes. Set audience, time, and criteria. Let students design how to meet them.
  • Make process visible. Require short “maker’s notes,” version history, or verification logs.
  • Assess transfer. Ask students to adapt the product for a new audience or constraint and explain the changes.

Related Reading & Planning Tools

Bloom’s Digital Taxonomy Graphic

Bloom’s Digital Taxonomy verbs infographic
Popular reference graphic for Bloom’s Digital Verbs.

Works Cited

  1. Bloom, B. S. (Ed.). (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook I: Cognitive Domain. New York: David McKay Company.
  2. Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. New York: Longman.
  3. Churches, A. (2009). Bloom’s Digital Taxonomy. Educational Origami.

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