Develop Observable Criteria¶

Strategy · All strategies
Evidence · 2 claims (2 for) · 5 studies (4 quant-synthesis, 1 review), q2–q4 · 4 of 5 report an effect size

Description¶

Developing observable criteria means translating learning goals into performance descriptors that are specific, measurable, and visible to learners — typically through objectives written with observable verbs and through rubrics or success criteria shared before instruction. Frameworks such as Bloom's Taxonomy (revised by Anderson & Krathwohl), Webb's Depth of Knowledge, and Marzano's Dimensions of Learning supply the vocabulary for specifying what observable behavior demonstrates learning and at what cognitive level. The strategy treats criteria as an instructional tool, not just an assessment tool: when learners know what quality looks like, they can self-monitor and self-assess against it.

Design Implications¶

Explicit criteria support learning because they enable self-regulation: learners compare their work against a standard, detect gaps, and act on them Formative assessment improves achievement when learners know the goal and can close the gap. [+S]. Rubrics and success criteria are most effective when they describe quality at the task and process level rather than merely assigning scores Feedback is most effective at task and process levels. [+S]. Criteria must be genuinely observable — a verb like "understand" cannot be assessed, while "classify," "justify," or "construct" can.

Context¶

Requirements¶

• Objectives phrased with observable verbs tied to a cognitive-level framework (Bloom's, Webb's DOK, or Marzano's)
• Rubrics or success criteria with well-defined performance scales, shared with learners before they begin work
• Alignment: every assessment task must map to a stated criterion, and every criterion to an objective
• Examples of work at different quality levels so learners can calibrate their interpretation of the criteria

Constraints¶

• Developing high-quality, aligned criteria is labor-intensive; poorly written rubrics (vague descriptors, too many criteria) add cognitive load without improving work quality [~M]
• Overly detailed checklists can encourage surface compliance — learners optimize for the rubric rather than the underlying goal [-M]
• Criteria fixed in advance constrain emergent, creative, or exploratory work; for open-ended goals, co-constructed or evolving criteria work better [~W]
• Novice learners may not understand criteria language without worked examples of what "meets the criterion" looks like [-M]

Implementation Variability¶

• Analytic rubrics (separate scales per criterion) vs. holistic rubrics (single scale) — analytic versions give more actionable information; holistic versions reduce load for simple tasks
• Single-point rubrics — criteria described only at proficiency, with space for notes above/below; reduces the "middle of the scale" problem
• Co-constructed criteria — learners help generate success criteria from exemplars, which deepens their understanding of quality [~M]
• Developmental scales — Webb's DOK or Marzano's proficiency scales used to show progression, not just judgment

Target Learners¶

• Novices, who lack an internal model of what quality looks like and benefit most from external criteria Formative assessment improves achievement when learners know the goal and can close the gap. [+S]
• Learners developing self-regulation skills, who need explicit standards to self-assess against
• Less critical for experts, who already hold internal quality standards and may find detailed rubrics redundant [~W]

Target Learning Goals¶

• Skill and competency development where performance can be directly observed
• Conceptual understanding at specified cognitive levels (classify, explain, evaluate, create)
• Self-regulated learning: building learners' capacity to judge their own work against standards

Instructions¶

1. Define the objective using an observable verb from Bloom's Taxonomy (revised) or Webb's DOK; replace "understand X" with "classify X," "justify X," or "construct X."
2. Identify the evidence — what a learner doing the objective would visibly say, make, or do (Assess Performance).
3. Draft criteria and scales — 3–5 criteria maximum, each with descriptors describing quality, not absence of faults.
4. Calibrate with exemplars — pair each criterion with samples of strong and weak work (Non-Examples sharpen interpretation of criteria).
5. Share criteria before work begins and teach learners to use them for self- and peer-assessment (Assessment, Check-In), providing guidance as they first apply them (Provide Guidance).
6. Use criteria for feedback — reference specific criteria when giving feedback so learners can act on it (Feedback, Provide Feedback).

Assessment Evidence¶

• Student understanding of criteria, effectiveness of communication

Impact¶

• Criteria should be concise, student-friendly, easily understood, and clearly communicated so that students understand expectations.

Related Strategies¶

• Rubric-Based Assessment — the primary vehicle for communicating observable criteria
• Success Criteria Co-Construction — involving learners in generating the criteria
• Formative Feedback Loops — criteria make feedback actionable by tying it to a shared standard
• Clarify assessment purpose, define skill expectations with rubrics and progressions, and calibrate on student work
• Use cognitive taxonomies such as SOLO as reliable processes for constructing learning objectives that are epistemic aims

Examples¶

• Marzano proficiency scales — a 4-point scale ("1 = with help, partial success … 4 = in-depth inferences and applications") published for thousands of K–12 standards; teachers post the scale so students know what "meeting the standard" means before instruction.
• Writing instruction with exemplar calibration — a teacher shares three anonymous essays, the class applies the rubric to each, and the discussion surfaces what the criteria actually mean before students draft.
• Competency-based programs — Western Governors University and similar programs define each competency with observable performance descriptors; assessment is pass/fail against those descriptors rather than norm-referenced grading.

Key Sources¶

• Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Longman.
• Sadler, D. R. (1989). Formative assessment and the design of instructional systems. Instructional Science, 18(2), 119–144. doi:10.1007/bf00117714
• Panadero, E., & Jonsson, A. (2013). The use of scoring rubrics for formative assessment purposes revisited: A review. Educational Research Review, 9, 129–144. doi:10.1016/j.edurev.2013.01.002
• Brookhart, S. M. (2013). How to create and use rubrics for formative assessment and grading. ASCD.
• Marzano, R. J. (2010). Formative assessment and standards-based grading. Marzano Research Laboratory.