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GLO Monitoring Tool Key Differences

maigan.campbell

Created on February 9, 2026

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Transcript

Key Similarities

Efficiency of Data Collection

Clarity and Usability

Data Quality & Consistency

Scalability & Reporting

Instructional & Equity Alignment

Scalability & Reporting

NEW TOOL:
  • Automatically aggregates responses
  • Easily sortable by: School, Standard, GLO level, or Game category
  • Supports real-time dashboards and longitudinal analysis
SPREADSHEET:
  • Aggregation requires manual compilation
  • Challenging to analyze trends across schools, standards, or time

Designed for system-level & department based monitoring, not just record-keeping.

Efficiency of Data Collection

NEW TOOL:
  • Uses conditional logic (skip patterns by standard)
  • Educators only see what’s relevant to their instructional focus
  • Reduces completion time while increasing accuracy
SPREADSHEET:
  • Requires manual navigation across rows, columns, and tabs
  • High cognitive load for educators
  • Time-consuming to complete accurately

Less time logging, more time teaching.

Clarity and Usability

NEW TOOL:
  • Clean, sectioned flow by Standard →Level → GLO
  • ✨ Essential GLOs are clearly flagged, supporting instructional prioritization
  • Prompts support reflective practice without added explanation
SPREADSHEET:
  • All GLOs visible at once, which can feel overwhelming
  • Easy to miss required or priority indicators

Cognitive load is reduced and instructional intent is clearer.

Key Similarities

Both tools:
  • Align to MCPS Physical Education Standards (1–5)
  • Capture whether GLOs are taught, taught and assessed, or not yet addressed
  • Allow educators to document game category focus and learning vehicles
  • Serve as instructional monitoring tools, not evaluative instruments.

This continuity ensures the new tool builds on, rather than replaces, existing instructional intent.

Data Quality & Consistency

NEW TOOL:
  • Standardized response options (radio buttons, checkboxes)
  • Required questions ensure completeness
  • Produces clean, analyzable datasets automatically
SPREADSHEET:
  • Open-text entry and manual selections lead to inconsistent data
  • Difficult to ensure uniform interpretation across schools

Higher reliability for district-level & department based analysis and decision-making.

Instructional & Equity Alignment

NEW TOOL:
  • Explicitly identifies essential GLOs (✨) to support equitable access
  • Encourages intentional alignment between:
Standards , Learning vehicles, Instructional design
  • Supports consistent implementation across diverse school contexts
SPREADSHEET:
  • Tracks coverage, but lacks focus guidance

Moves from “Did we cover it?” to “Did all students access what matters most?”