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Explorer Band · EXPDLL 5

Explorer Phase - DLL 5

Learners at DLL 5 explore complexity within familiar chart forms. They interpret clustered or stacked data, recognize when conclusions extend beyond evidence, and revise their own work to represent data ethically and clearly.

Standards version 1.0 · Released 1/1/2025

Standards

DLL 5 Standards (10)

Band: Explorer · Strand coverage: 5

EXP.F.5.1

Foundations · F

DOK 2

Learner recognizes clustered or stacked bars as showing related categories.

Evidence

Identifies that each color in a bar represents a subgroup of data.

Global Links

CCSS · 5.MD.B
ISTE · 1a

EXP.F.5.2

Foundations · F

DOK 3

Learner explains how scale and intervals affect interpretation.

Evidence

Describes that doubling interval spacing changes perceived difference.

Global Links

CCSS · 5.MD
OECD_LC2030 · (Data integrity)

EXP.R.5.1

Reading & Interpreting · R

DOK 3

Learner interprets multiple features (color, pattern, label) in a clustered-bar chart.

Evidence

Correctly compares subgroups using legend and scale.

Global Links

CCSS · 5.MD.B
NGSS · SEP Analyzing Data

EXP.R.5.2

Reading & Interpreting · R

DOK 3-4

Learner draws reasoned conclusions and distinguishes evidence from opinion.

Evidence

States "It seems higher, but we'd need more data."

Global Links

C3 · D3 (Evidence & Claim)
ISTE · 3a

EXP.C.5.1

Creating & Communicating · C

DOK 3

Learner designs a clear clustered-bar or double-line chart from collected data.

Evidence

Produces correctly scaled, labeled, color-keyed chart.

Global Links

ISTE · 6a
UNESCO_MIL · (Accuracy of Representation)

EXP.C.5.2

Creating & Communicating · C

DOK 3-4

Learner revises chart to eliminate visual bias or confusion.

Evidence

Adjusts axis, colors, or order to improve clarity.

Global Links

ISTE · 6b
UNESCO_MIL · (Bias Correction)

EXP.CR.5.1

Critical & Ethical · CR

DOK 3

Learner critiques charts in media for exaggeration or omission.

Evidence

Identifies missing baseline or truncated axis in a real-world example.

Global Links

ISTE · 2a
UNESCO_MIL · Bias Detection

EXP.CR.5.2

Critical & Ethical · CR

DOK 4

Learner explains how misleading visuals can harm understanding or fairness.

Evidence

States "It could make people think one school is better when data is incomplete."

Global Links

CASEL · Ethical Decision
OECD_LC2030 · (Ethical communication)

EXP.L.5.1

Leadership & Application · L

DOK 3

Learner leads peers in reviewing data displays for fairness before publication.

Evidence

Facilitates group checklist for accuracy and inclusion.

Global Links

C3 · D2 (Civic collaboration)
CASEL · Responsible Decision

EXP.L.5.2

Leadership & Application · L

DOK 4

Learner presents findings acknowledging both strengths and limits of data.

Evidence

Says "This shows growth, but we only measured one class."

Global Links

ISTE · 7a (Responsible communication)
UNESCO_SDG · 4.7

Level Summary

At DLL 5, learners move from seeing fairness to maintaining fairness. They evaluate evidence critically, refine visuals for clarity, and take responsibility for how information influences others—linking data integrity to empathy in communication.

DLL 5 | Data Literacy Levels | Chart-Ed Institute