8.3 Progression Analytics

The Progression Analytics dashboard shows school staff how students are progressing against curriculum objectives, helping identify strengths and areas needing support. This AI for schools tracks learning against actual curriculum standards, providing actionable data for teachers and leaders.

This feature is designed for administrators and school leaders who need visibility into curriculum coverage and student understanding across classes or the whole school.

What Progression Analytics Shows

Progression Analytics displays how well students in a class (or across the school) are understanding specific curriculum objectives.

• Each objective is rated on a three-level scale:
  • Below expectation: Students are struggling with this concept and need additional support.
  • Meeting expectation: Students demonstrate age-appropriate understanding of this objective.
  • Exceeding expectation: Students show advanced understanding and could be extended further.

• These ratings are based on student interactions with CurricuLLM, including:
  • Questions asked and depth of inquiry
  • Work submitted through conversations
  • Response patterns and accuracy
  • Engagement with curriculum-linked content

How to Access Progression Analytics

• Log in as an administrator or user with analytics permissions.
• Navigate to the Data and Insights section from the main menu.
• Select Progression Analytics from the dashboard tabs.
• You'll see the filtering options at the top of the screen.

Filtering Your View

The power of Progression Analytics comes from being able to focus on specific groups and curriculum areas.

Select Curriculum Level

• Choose the year level or stage you want to examine (e.g. Year 5, Stage 3, Foundation).
• This filters the curriculum objectives to show only those relevant to that level.
• Useful for tracking progression within a specific cohort.

Select Subject

• Choose the subject area (e.g. Mathematics, English, Science, Humanities).
• The dashboard will display all curriculum objectives for that subject at the selected level.
• Subject selection updates the available objectives list automatically.

Select Class or School-Wide View

• Class view: Select a specific class to see how that group is tracking.
  • Shows the class name and teacher assigned.
  • Useful for understanding individual class performance.
  • Helps identify which teachers might benefit from curriculum support or professional learning.

• School-wide view: See aggregated data across all classes at the selected level.
  • Provides a whole-school perspective on curriculum coverage.
  • Identifies systemic strengths and weaknesses.
  • Useful for strategic planning and resource allocation.

Understanding the Results

Once you've applied your filters, the dashboard displays a list of curriculum objectives with their progression status.

What You'll See

• Objective code and description: The curriculum outcome or content descriptor, shown with its official code.
• Progression indicator: A visual indicator (often color-coded) showing whether students are below, meeting, or exceeding expectations for that objective.
• Coverage status: Whether this objective has been addressed in student work or conversations.
• Number of interactions: How many times students have engaged with content related to this objective.

Visual Indicators

• Red or warning indicators = Below expectation
  • Students are struggling with this concept.
  • May need targeted intervention or reteaching.

• Green or positive indicators = Meeting expectation
  • Students are on track with curriculum expectations.
  • Continue current teaching approach.

• Blue or advanced indicators = Exceeding expectation
  • Students demonstrate strong understanding.
  • Consider extension activities or moving ahead.

• Grey or neutral indicators = Insufficient data
  • Not enough student interactions to assess progression.
  • May indicate this objective hasn't been taught yet or students haven't engaged with CurricuLLM on this topic.
  • You may see a warning "n<5" which means there are fewer than 5 student interactions recorded for this objective. A minimum of 5 interactions is needed to generate reliable progression insights.

Interpreting the Data

Progression Analytics helps you answer key questions about student learning and curriculum coverage.

Questions to Ask

Are there objectives where most students are below expectation?

• These are priority areas for intervention.
• Consider allocating more teaching time, adjusting instructional approach, or providing additional resources.
• Check if staff teaching these areas need professional learning support.

Are there objectives with insufficient data?

• These may be gaps in curriculum coverage.
• Review teaching programs to ensure all outcomes are being addressed.
• Encourage teachers to use CurricuLLM more explicitly when teaching these objectives.

Are certain classes performing differently to others?

• Compare class-level data to identify high-performing and struggling groups.
• Investigate what successful teachers are doing differently (share effective practices).
• Provide targeted support to teachers whose classes are struggling.

Are there objectives where students consistently exceed expectations?

• Celebrate these successes and identify what's working well.
• Consider whether these areas could be taught more efficiently to free up time for other content.
• Use high-performing classes as models for peer observation.

How does progression vary across subjects?

• Some subjects may show stronger progression than others.
• Allocate professional learning resources to areas with weaker progression.
• Identify subject coordinators who could share successful strategies.

Using Progression Analytics to Drive Action

The real value of this dashboard comes from turning data into decisions. Here's how to use what you learn.

For Individual Classes

• Identify struggling objectives: Share this data with the class teacher so they can target specific areas.
• Celebrate successes: Recognize where students are excelling and encourage teachers to share their methods.
• Plan differentiation: Use the data to group students by need (intervention, on-track, extension).

For Subject Teams

• Coordinate teaching: If multiple classes struggle with the same objective, it may indicate a curriculum-wide issue.
• Share strategies: Connect teachers whose students excel with those who need support.
• Review resources: Identify whether better teaching materials are needed for challenging objectives.
• Plan professional learning: Target PL sessions on specific curriculum areas where staff need support.

For Whole-School Planning

• Allocate resources: Direct funding, time, or personnel to areas of greatest need.
• Review programs: Use progression data to evaluate the effectiveness of teaching programs and scope and sequences.
• Set improvement targets: Focus school-wide goals on specific curriculum areas showing weak progression.
• Report to stakeholders: Use progression data in reports to school boards, parents, or education authorities to demonstrate curriculum coverage and learning outcomes.
• Inform timetabling: Allocate more time to subjects or objectives where students consistently struggle.

Best Practices for Using Progression Analytics

To get the most from this dashboard, integrate it into your regular school rhythms.

Regular Monitoring

• Review monthly: Check progression data at least once a month to catch issues early.
• Focus on trends: Look for patterns over time, not just single snapshots.
• Compare across terms: Track how progression changes as teaching progresses.

Combine with Other Data

• Cross-reference: Use Progression Analytics alongside Activity Rhythms and Engagement data for a complete picture.
• Add qualitative insights: Talk to teachers about what the data shows and gather their perspectives.
• Check student work samples: Validate analytics findings with actual student work to confirm understanding.

Make It Actionable

• Set clear targets: Identify 2-3 high-priority objectives to improve each term.
• Create action plans: For each priority area, define specific teaching strategies and support measures.
• Follow up: Return to the dashboard after interventions to see if progression has improved.

Build a Data Culture

• Share findings: Present progression data at staff meetings in a constructive, non-judgmental way.
• Train teachers: Help staff understand how their teaching shows up in the data and how to use it for planning.
• Celebrate growth: When progression improves, recognise the teachers and students who made it happen.
• Focus on learning, not blame: Use data to support teachers, not to criticize them.

Common Questions

How accurate is the progression data?

• Progression ratings are based on actual student interactions with CurricuLLM, making them more reliable than self-reported or survey-based data.
• However, they only reflect work done through CurricuLLM. Students may have stronger understanding than the data suggests if they're not actively using the platform for those objectives.
• Use this data as one indicator alongside other assessments.

What if a class shows low progression across all objectives?

• First, check if the class is actively using CurricuLLM. Low progression may simply mean low engagement.
• If usage is high but progression is low, investigate whether students need more foundational support or if the teaching approach needs adjusting.
• Consider whether content filters or access settings are limiting what students can do.

Can teachers see this data for their own classes?

• Access to Progression Analytics typically requires administrator or leadership permissions.
• However, administrators can export or share specific class data with teachers to support their planning.
• Check your school's data privacy policies before sharing individual class data.

How often is the data updated?

• Progression Analytics updates in real-time as students interact with CurricuLLM.
• However, meaningful progression tracking requires sustained use over time (at least 2-3 weeks of regular activity).
• Be cautious about drawing conclusions from very recent data, allow time for patterns to emerge.

What if an objective shows "insufficient data"?

• This means students haven't engaged enough with CurricuLLM on this objective for the system to assess their understanding.
• It could indicate:
  • The objective hasn't been taught yet.
  • It was taught, but students didn't use CurricuLLM during that unit.
  • Students are avoiding this topic (possibly because it's difficult).
• Encourage teachers to explicitly use CurricuLLM when teaching these objectives to generate more data.

Summary: Progression Analytics turns student learning into visible, actionable data. By filtering by level, subject, and class, school leaders can identify exactly where students are thriving and where they need support, then use those insights to guide teaching priorities, professional learning, and resource allocation.