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actfl-proficiency-curriculum-mapper

Map world language curricula to the ACTFL framework: proficiency levels (Novice, Intermediate, Advanced, Superior, Distinguished with sublevels), functions, contexts, text types and accuracy, proficiency vs performance, the three modes of communication (interpretive, interpersonal, presentational), the 5 Cs World-Readiness Standards, backward-designed thematic units with Integrated Performance Assessments, typical programme targets and FSI time estimates. Looks up approximate ACTFL-CEFR-ILR equivalences with what each level can do, and checks a unit map for missing modes, rehearsed skits mislabelled as interpersonal, translation or word lists as interpretive tasks, and units without an integrated performance assessment. Use when designing or auditing a US K-12 or college language curriculum, writing ACTFL-aligned units, or explaining how ACTFL levels relate to CEFR or ILR.

Languages, Linguistics & Translation / Language Teachingv1.0.0Updated OCT 25 20262 references2 scripts

ACTFL-aligned curricula set performance targets per unit, build every unit around the three modes of communication, and assess them with an Integrated Performance Assessment. scripts/mode_coverage.py checks a unit map; scripts/level_map.py explains levels and their approximate CEFR and ILR equivalents.

Trigger Conditions

Activate this skill when the user:

  • Designs or audits a world language curriculum in the US (K-12, college, immersion, heritage)
  • Writes thematic units, IPAs or ACTFL-aligned can-do statements
  • Asks what "Intermediate Mid" means, or how ACTFL relates to CEFR or ILR
  • Sets programme targets (Seal of Biliteracy, AP, proficiency-based grading)

CEFR courses: cefr-aligned-syllabus-builder. Outcomes: can-do-statement-writer. Programme review: language-program-review-writer.

Workflow

text
1. TARGETS  -> programme and course performance targets per year (references/actfl-framework.md)
2. LEVELS   -> python scripts/level_map.py "Intermediate Mid"   (FACT profile, CEFR/ILR equivalents)
3. THEMES   -> thematic units with essential questions; 5 Cs connections
4. MODES    -> interpretive, interpersonal and presentational task per unit at the target level
5. ASSESS   -> IPA per unit: interpretive -> interpersonal -> presentational in one context, with rubrics
6. CHECK    -> python scripts/mode_coverage.py units.csv
7. REPORT   -> targets, unit map, assessment plan; state that framework equivalences are approximate

Review Codes (mode_coverage.py)

CodeSeverityProblem
AC001highUnit without a performance assessment
AC002mediumUnit with no task in a mode
AC003mediumRehearsed skit or presentation labelled interpersonal
AC004lowInterpretive task is translation or word lists
AC005lowAssessment does not cover all three modes

Output Format

Programme target table (course/year, target level per mode), unit map (theme, essential question, can-dos per mode, IPA tasks, authentic resources, culture focus), and the mode_coverage.py result. Include FACT-based task checks for the target level.

Scripts

bash
python scripts/level_map.py "Intermediate High" | --cefr B1 | --ilr 2 | --table

Exit codes: 0 found, 2 unknown level.

bash
python scripts/mode_coverage.py units.csv

Columns: unit, interpretive, interpersonal, presentational, assessment. Exit codes: 0 no high findings, 1 high findings, 2 read error or bad CSV.

Additional Resources

FileContent
actfl-framework.mdLevels, FACT task lens, proficiency vs performance, three modes, 5 Cs, backward design and IPA, programme targets, FSI hours
framework-alignment.mdACTFL, CEFR and ILR compared, approximate alignment table with sources, why scales differ, practical use
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