Standards-Based Grading¶

Strategy · All strategies
Evidence · 6 claims (5 for, 1 mixed) · 11 studies (5 review, 3 theoretical, 2 quant-synthesis, 1 causal), q2–q4 · 2 of 11 report an effect size · 1 claim rests on one study

Description¶

Standards-based grading (SBG) replaces point-accumulation and percentage systems with evaluation against explicitly defined learning standards. Each grade reports what a student knows and can do relative to a standard — often on a proficiency scale — rather than averaging behavior, effort, homework compliance, and early failures into a single number. Reassessment is typically permitted, so the grade reflects eventual mastery rather than the pace at which it was reached.

Design Implications¶

SBG aligns grading with Assessment for Learning: grades become information about mastery rather than rewards and sanctions, which shifts student attention from point-chasing to learning [~M]. Because grades map to specific standards, they generate actionable feedback at the task and process level — the feedback conditions most strongly associated with achievement gains Feedback is most effective at the task and process levels. [+S]. SBG is closely related to Competency-Based Assessment and functions as the reporting layer for Competency-Based Learning.

Context¶

Requirements¶

• Clearly defined, learner-facing standards or learning targets, ideally in student-friendly language
• Rubrics or proficiency scales that describe performance levels for each standard
• Assessments that genuinely align to the standards (validity of the mapping is the whole game)
• A reassessment policy and a reporting system capable of communicating per-standard proficiency
• Significant teacher training and calibration — common rubrics and moderation across sections [Requires significant training to implement consistently]
• Clearly defined, learner-facing standards or learning targets, ideally unpacked into Rubrics with observable performance descriptors
• Assessments that map to standards individually, so each score has a single meaning
• A reporting system (gradebook) that tracks scores by standard, not by assignment category
• A reassessment policy that specifies when and how students may demonstrate improved mastery
• Teacher training in standard unpacking and rubric design — the largest implementation cost
• Clearly articulated learning objectives, decomposed into assessable outcomes (State Objectives)
• Transparent rubrics or proficiency scales shared with learners before instruction
• A tracking system that records mastery per objective, not just per assignment
• Multiple assessment opportunities and a Provide Feedback loop tied to each objective
• Institutional tolerance for gradebook structures that differ from point-averaging

Constraints¶

• Grades become less comparable across schools and less familiar to parents and admissions offices accustomed to traditional GPA conventions [~M]
• Without teacher calibration, proficiency judgments drift toward subjective inconsistency, undermining the accuracy the system is meant to provide [-M]
• Per-standard reporting multiplies the grading workload; teachers who adopt SBG without reducing the number of standards tracked tend to revert [-W]
• Reducing D/F rates does not by itself indicate learning gains — in reported implementations, D's and F's fell but so did A's, suggesting grade compression rather than clear mastery signals [~W]
• Poorly designed reassessment policies can produce gaming (students retaking without remediation) or grade inflation in later reporting periods [-W]
• Averaging scores across a term contradicts the mastery premise; averaging early low scores with later evidence of mastery misrepresents final learning [-S] — most SBG implementations use most-recent-evidence or highest-evidence rules instead
• Without teacher calibration, scores on the same standard vary widely across classrooms, undermining the comparability that motivates SBG [~M]
• Converting mastery scales back to traditional A–F transcripts for GPA can reintroduce the distortions SBG was meant to remove [~W]
• Reducing the number of graded assignments can lower completion of ungraded practice for students motivated primarily by points [~W]
• Implementation without concurrent changes to instruction and reassessment time produces grade inflation or workload spikes rather than learning gains [-M]
• Requires substantial restructuring of curriculum, assessments, and gradebooks; partial adoption (mastery rubrics but averaged into a single letter grade) undermines the coherence of the system [-M]
• Reassessment policies can be gamed in the opposite direction — learners may attempt assessments strategically with minimal preparation, relying on unlimited retakes [-W]
• In competitive-selection contexts (admissions, licensure), single holistic grades remain the currency; mastery transcripts may not translate [-M]
• Poorly written objectives produce rubrics that fragment skills into checklists, losing whole-task integration Whole-task performance improves transfer. [~M]

Implementation Variability¶

• Full conversion (per-standard report cards, no single letter grade) vs. hybrid (SBG inside a traditional gradebook)
• Proficiency scales: 4-point mastery scales, binary proficient/not-yet, or rubric-based narrative reporting
• Standards-referenced (grades report standards but a summary grade is still required) vs. standards-based (grades report standards only)
• Retake policies: unlimited with full credit, capped with remediation required, or averaging attempts
• Scale: 4-point mastery scales, binary "meets/not yet," or narrative standards-based report cards
• Scope: single classroom adoption, whole-school, or district-wide with common assessments
• Hybrid models: standards-based academic grade plus a separate citizenship/work-habits report
• Reassessment rules: unlimited with required remediation, capped attempts, or student-initiated only
• Full standards-based report cards (K–12 districts): each standard reported separately
• Mastery grading in higher ed (e.g., specifications grading, standards-based grading in STEM courses): binary mastery per objective with token-limited retakes
• Hybrid models: mastery grades for academic objectives, separate reporting for habits of work
• Personalized mastery goals: individual learners work toward personalized proficiency targets, adapting the model for heterogeneous readiness

Target Learners¶

• Middle and high school students, where traditional point systems most strongly conflate compliance with achievement [~M]
• Students who learn at uneven paces — reassessment lets late mastery count, supporting mastery orientation rather than punishing early failure [+W]
• High-achieving students accustomed to earning A's through compliance may initially experience grade deflation and motivational friction [~W]
• Middle and high school students, where traditional point-accumulation grading is most entrenched
• Students who learn at uneven rates — reassessment prevents early low scores from permanently capping their grade Self-efficacy predicts academic persistence. [+M]
• Struggling students benefit most from the removal of zero/averaging penalties; high achievers accustomed to point accumulation may initially resist reduced grade-granularity [~W]
• All levels, but strongest evidence and uptake in higher education and professional training, where objectives are already outcome-defined
• Learners with low prior achievement, who benefit from criterion-referenced feedback and reassessment instead of early, permanent low grades Feedback that answers "where am I going, how am I doing, where to next" improves learning. [+S]
• Anxious or grade-avoidant learners, for whom removing point-competition shifts focus to learning goals Process goals outperform outcome goals for novices. [+M]

Target Learning Goals¶

• Mastery of well-defined knowledge and skill standards (procedural and conceptual targets)
• Accurate self-assessment: per-standard reporting helps students see which competencies need work, supporting self-regulated monitoring
• Less suited to goals that resist decomposition into discrete standards (integrated performance, creativity, disposition)
• Mastery of well-defined knowledge and skill standards (procedural and conceptual objectives)
• Accurate self-monitoring: standard-referenced scores help students locate their own gaps Self-monitoring improves self-regulation. [+M]
• Not well suited to grading participation, discussion quality, or highly individualized creative goals without supplementary reporting
• Mastery of well-defined knowledge and skill objectives (procedural and conceptual)
• Less suited to purely emergent, discussion-built, or highly subjective learning outcomes where criteria cannot be specified in advance

Instructions¶

1. State objectives — Define a small set of priority standards per course; write each as an observable learning target with a proficiency scale.
2. Design aligned assessments — Build assessments that map items to standards so each score reports mastery of one target, not a blended average.
3. Assess performance — Score against the scale, not against points; separate academic achievement from behavior, effort, and attendance in reporting.
4. Provide feedback — Pair each proficiency score with task- and process-level feedback Feedback is most effective at the task and process levels. [+S]; use Formative Assessment cycles between scored assessments.
5. Allow reassessment — Permit retakes after remediation so the final grade reflects eventual mastery; cap or structure retakes to prevent gaming.
6. Report per standard — Communicate proficiency by standard to students and families; calibrate scoring with colleagues through moderation of student work.

Related Strategies¶

• Mastery Learning — SBG is the grading counterpart of mastery-based pacing; both hold time variable and achievement constant
• Formative Assessment — supplies the low-stakes evidence and feedback loop between scored assessments
• Ungrading — a more radical variant that removes grades entirely in favor of reflective self-assessment
• Clarify assessment purpose, define skill expectations with rubrics and progressions, and calibrate on student work
• Formative Assessment Loops — reassessment cycles depend on formative evidence between attempts
• Specifications grading — a higher-education variant using binary mastery judgments and token-based reassessment
• Ungrading — a more radical variant that removes grades entirely while retaining mastery feedback structures
• Retake/reassessment policies — the operational mechanism that makes grades reflect eventual rather than initial mastery
• District actions to improve electronic grading system use: clarify formative/summative guidance, build mastery-based best-practice communities, and update grading standards with professional development

Examples¶

• High school physics SBG conversion — A widely cited implementation replaced percentage grades with standards scores (e.g., "Graphs motion — 3/4"); D/F rates declined, but A rates also declined, showing grade redistribution rather than uniform inflation.
• Marzano Academies / Marzano proficiency scales — Published proficiency-scale frameworks and report card templates used at scale in standards-based districts.
• ActiveGrade / JumpRope — Standards-based gradebooks that track per-standard mastery and support reassessment workflows.
• Marzano Academies / Marzano scales (https://www.marzanoacademies.org) — 4-point proficiency scales per standard as the basis for both instruction and reporting.
• ActiveGrade / JumpRope / Empower — standards-based gradebooks that track scores by learning target and support most-recent-evidence reporting.
• High school physics SBG implementations (e.g., work popularized by Frank Noschese, https://fnoschese.wordpress.com) — each quiz targets 2–3 standards; students reassess individual standards on demand.
• Mastery-based STEM courses — Many university calculus and physics courses (popularized by Robert Talbert's Grading for Growth, 2023) use standards-based grading: a list of ~20 skills, binary or scale mastery per skill, unlimited or token-limited retakes.
• K–12 standards-based report cards — Districts using proficiency scales (e.g., 4 = exceeds, 3 = meets) per Common Core standard, with separate reporting of academic and behavioral standards.
• Khan Academy — Mastery tracking per skill with levels (attempted → familiar → proficient → mastered), a platform-scale implementation of mastery reporting (khanacademy.org).

Key Sources¶

• Guskey, T. R., & Swan, G. M. (2011). Developing standards-based report cards. Corwin Press.
• Brookhart, S. M. (2013). How to create and use rubrics for formative assessment and grading. ASCD.
• Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. doi:10.3102/003465430298487
• Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. doi:10.1080/0969595980050102
• Guskey, T. R. (2011). Five obstacles to grading reform. Educational Leadership, 69(3), 16–21.
• Guskey, T. R. (2015). On your mark: Challenging the conventions of grading and reporting. Solution Tree Press.
• Brookhart, S. M. (2013). How to create and use rubrics for formative assessment and grading. ASCD.
• Pollio, M., & Hochbein, C. (2015). The association between standards-based grading and standardized test scores as an element of a high school reform model. Educational Policy, 29(5), 742–775.
• Guskey, T. R. (2007). Closing achievement gaps: Revisiting Benjamin S. Bloom's "Learning for Mastery." Journal of Advanced Academics, 19(1), 8–31. doi:10.4219/jaa-2007-704
• Talbert, R., & Jungić, P. (2023). Grading for growth: A guide to grading practices that promote teaching and learning. Routledge.