Integrating Learning Analytics Systems with Improvement Science

Workshop Agenda: Integrating Learning Analytics Systems with Improvement Science:

Introduction to Key Concepts

⏳ 45 minutes

• Overview of learning analytics systems and improvement science.

• The six core principles of improvement science:

  • Problem-specific focus

  • Addressing variation

  • Systems analysis

  • Practical measurement

  • Disciplined inquiry (PDSA cycles)

  • Networked communities

Case Studies

⏳ 60 minutes

• Real-world examples showing how learning analytics can address performance issues and drive improvement interventions.

• Example: Leveraging LMS data to improve feedback timing or address reading comprehension in STEM subjects.

• Discussion of successful PDSA cycle applications in school districts.

Interactive Group Work: Designing PDSA Cycles

⏳ 85 minutes

• Participants will form small groups to design a PDSA cycle using sample datasets from SIS/LMS platforms.

• Each group will identify a specific educational challenge (e.g., student engagement disparities) and develop an intervention to test.

• Groups will share their designs for feedback and refinement.

Challenges and Best Practices

⏳ 45 minutes

• Discussion on practical challenges of integrating learning analytics with improvement science (e.g., data privacy, teacher training).

• Facilitators will offer strategies to overcome these challenges and ensure effective collaboration between researchers and educators.

Conclusion and Key Takeaways

⏳ 15 minutes

• Summarize workshop insights.

• Provide resources for further exploration of these methodologies.

• Outline actionable next steps for implementing learning analytics-informed improvement cycles.

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Presenters