Module 7: Learning Analytics, Intervention, and CQI - Worked Examples

Agentic Engineering for Teaching Professionals

These examples move from bounded AI assistance toward reusable teaching workflows. Adapt every prompt to the participant's actual subject, institution, learner level, evidence, and authorized tools rather than treating any template as universally correct.

Analyzing a Simple Gradebook

A synthetic ten-point assessment contains scores 8, 6, blank, and 10. The supplied data dictionary says a blank means "not recorded"; no rule authorizes treating it as zero. Report a defensible summary.

Step-by-Step Solution

0 of 3 Steps Completed
1

Finding Weak Assessment Items

Apply this exercise to a specific teaching context and preserve the learner level, governing evidence, and institutional constraints that make the result valid.

Step-by-Step Solution

0 of 3 Steps Completed
1

Mapping Scores to Outcomes

Apply this exercise to a specific teaching context and preserve the learner level, governing evidence, and institutional constraints that make the result valid.

Step-by-Step Solution

0 of 3 Steps Completed
1

Identifying Class-Wide Learning Gaps

Apply this exercise to a specific teaching context and preserve the learner level, governing evidence, and institutional constraints that make the result valid.

Step-by-Step Solution

0 of 3 Steps Completed
1

Designing a Remediation Plan

Apply this exercise to a specific teaching context and preserve the learner level, governing evidence, and institutional constraints that make the result valid.

Step-by-Step Solution

0 of 3 Steps Completed
1

Creating Feedback Groups Without Profiling

Apply this exercise to a specific teaching context and preserve the learner level, governing evidence, and institutional constraints that make the result valid.

Step-by-Step Solution

0 of 3 Steps Completed
1

Comparing Pre- and Post-Intervention Results

Apply this exercise to a specific teaching context and preserve the learner level, governing evidence, and institutional constraints that make the result valid.

Step-by-Step Solution

0 of 3 Steps Completed
1

Generating a CQI Evidence Summary

Apply this exercise to a specific teaching context and preserve the learner level, governing evidence, and institutional constraints that make the result valid.

Step-by-Step Solution

0 of 3 Steps Completed
1

Hands-On Lab — Analyze a Synthetic Gradebook and Design an Intervention

Activity goal: Validate and analyze a synthetic dataset, identify an evidence-supported learning gap, and design a follow-up intervention without profiling learners.

Required evidence and deliverables:

  • Validated data dictionary and identified data-quality issues.
  • Descriptive performance summary with at least one appropriate chart/table plan.
  • Item or outcome analysis tied to supplied mappings.
  • One learning-gap statement with competing explanations.
  • Intervention and follow-up evidence plan, plus a CQI table stub.

Assessment rubric — 25 points

CriterionPointsRequired evidence
Data validation5Schema, scales, missing values, mappings, and privacy are checked before analysis.
Analytical correctness5Summaries and interpretations are reproducible and appropriate.
Evidence discipline5Learning-gap claims distinguish observation from explanation.
Intervention quality5Action is targeted to the diagnosed need and defines follow-up evidence.
CQI traceability5Evidence, action, status, and future reassessment are clearly separated.

Step-by-Step Solution

0 of 5 Steps Completed
1