Investigator Phase - DLL 7
Learners at DLL 7 examine data from multiple sources, interpret patterns across datasets, and begin designing small investigations. They practice skepticism and empathy together—questioning what data show, what they hide, and whom they represent.
Standards version 1.0 · Released 1/1/2025
Standards
DLL 7 Standards (10)
| Strand | Code | Standard Statement | Observable Evidence | DOK | Global Links |
|---|---|---|---|---|---|
Foundations F | INV.F.7.1 | Learner identifies data features that change meaning (sample size, unit scale, source). | Notes that "these two charts use different scales" or "one class had fewer students." | 3 | CCSS · 7.SP ISTE · 1a |
Foundations F | INV.F.7.2 | Learner distinguishes between quantitative and categorical variables. | Sorts variables correctly when planning a data display. | 3 | NGSS · SEP Planning Investigations OECD_LC2030 · (Data Classification) |
Reading & Interpreting R | INV.R.7.1 | Learner compares and contrasts two related datasets on different scales. | Accurately interprets two axes and adjusts verbal conclusions. | 3-4 | CCSS · 7.SP.B ISTE · 3a |
Reading & Interpreting R | INV.R.7.2 | Learner infers possible causal or contextual relationships without overstating certainty. | States "More study hours might help, but we can't be sure." | 4 | C3 · D3 (Evidence & Reasoning) NGSS · SEP Using Evidence |
Creating & Communicating C | INV.C.7.1 | Learner combines two datasets into one comparative display with consistent scale. | Merges school A and B results into single chart with shared axis. | 4 | ISTE · 6a UNESCO_MIL · (Comparative Visualization) |
Creating & Communicating C | INV.C.7.2 | Learner annotates charts to highlight key patterns or exceptions. | Adds text notes such as "largest increase here." | 4 | ISTE · 6b UNESCO_MIL · (Transparency in Design) |
Critical & Ethical CR | INV.CR.7.1 | Learner identifies bias in sampling or source selection. | Notes that survey included only one grade or group. | 4 | ISTE · 2a UNESCO_MIL · Bias Detection |
Critical & Ethical CR | INV.CR.7.2 | Learner proposes methods to reduce bias or increase representation. | Suggests adding missing voices or resampling. | 4 | CASEL · Responsible Decision OECD_LC2030 · (Equity & Evidence) |
Leadership & Application L | INV.L.7.1 | Learner facilitates peer discussion about fairness in data collection. | Leads group reflection on who was counted and who wasn't. | 4 | C3 · D2 (Civic Inquiry) CASEL · Social Awareness |
Leadership & Application L | INV.L.7.2 | Learner advocates for transparent data sources in class projects. | Chooses open or shared datasets and cites sources. | 4 | ISTE · 7a (Open Practices) UNESCO_SDG · 4.7 |
INV.F.7.1
Foundations · F
Learner identifies data features that change meaning (sample size, unit scale, source).
Evidence
Notes that "these two charts use different scales" or "one class had fewer students."
Global Links
INV.F.7.2
Foundations · F
Learner distinguishes between quantitative and categorical variables.
Evidence
Sorts variables correctly when planning a data display.
Global Links
INV.R.7.1
Reading & Interpreting · R
Learner compares and contrasts two related datasets on different scales.
Evidence
Accurately interprets two axes and adjusts verbal conclusions.
Global Links
INV.R.7.2
Reading & Interpreting · R
Learner infers possible causal or contextual relationships without overstating certainty.
Evidence
States "More study hours might help, but we can't be sure."
Global Links
INV.C.7.1
Creating & Communicating · C
Learner combines two datasets into one comparative display with consistent scale.
Evidence
Merges school A and B results into single chart with shared axis.
Global Links
INV.C.7.2
Creating & Communicating · C
Learner annotates charts to highlight key patterns or exceptions.
Evidence
Adds text notes such as "largest increase here."
Global Links
INV.CR.7.1
Critical & Ethical · CR
Learner identifies bias in sampling or source selection.
Evidence
Notes that survey included only one grade or group.
Global Links
INV.CR.7.2
Critical & Ethical · CR
Learner proposes methods to reduce bias or increase representation.
Evidence
Suggests adding missing voices or resampling.
Global Links
INV.L.7.1
Leadership & Application · L
Learner facilitates peer discussion about fairness in data collection.
Evidence
Leads group reflection on who was counted and who wasn't.
Global Links
INV.L.7.2
Leadership & Application · L
Learner advocates for transparent data sources in class projects.
Evidence
Chooses open or shared datasets and cites sources.
Global Links
Level Summary
En DLL 7, los estudiantes se convierten en analistas éticos: equilibran la curiosidad con el cuidado. Cuestionan cómo se recopilan los datos y las historias que cuentan, comprendiendo que detrás de cada patrón hay personas.