In Term 1, measure foundations not finish lines

The start of the year often comes with an implicit pressure (from ourselves mostly) to demonstrate rapid progress with our students.

But research across cognitive science and educational psychology suggests that the first weeks of learning are less about performance and more about foundations.

If we measure finish lines too early, we risk misreading what is actually happening in our classroom and shifting our focus to the wrong things at this point in time.

Term 1 is not the moment to chase for evidence of significant shifts in our classes. It is the moment to establish the conditions that make great outcomes possible.

So what should we be measuring?

1. Prior knowledge

One of the most consistent findings in cognitive science is that new learning depends heavily on existing knowledge.

Researchers such as Daniel Willingham and E. D. Hirsch have demonstrated that comprehension and problem solving are strongly influenced by what students already know. John Sweller’s work on cognitive load theory reinforces this. When prerequisite knowledge is missing, working memory becomes overloaded and learning slows dramatically.

In Term 1, this means assessment should prioritise:

• Identifying retained core knowledge from previous years
• Detecting gaps in prerequisite concepts
• Surfacing misconceptions early

Without this diagnostic clarity, later performance data may reflect knowledge gaps rather than effort or ability.

2. Classroom routines and behavioural foundations

Research on classroom management consistently shows that clear, predictable routines increase time on task and reduce cognitive load.

Studies synthesised by Robert Marzano and others indicate that well established procedures are associated with improved academic outcomes because they free attention for learning rather than logistics.

In Term 1, it is worth observing and informally measuring:

• How quickly students transition between activities
• Whether expectations are consistently understood
• How reliably learning behaviours are embedded

Academic performance rests on these foundations. Measuring them early is strategic, not soft.

3. Teacher clarity and instructional coherence

John Hattie’s synthesis of over 800 meta analyses identifies teacher clarity as having a strong positive effect on student achievement.

Clarity involves more than clear explanations. It includes explicit success criteria, logical sequencing of content, and alignment between instruction and assessment.

Early assessments can act as feedback on instruction:

• Are errors clustered around misunderstood concepts?
• Are students unclear about what quality work looks like?
• Does assessment align with what was explicitly taught?

In this sense, Term 1 measurement is as much about refining teaching as it is about evaluating students.

4. Student engagement and self-efficacy

Albert Bandura’s research on self efficacy demonstrates that students’ belief in their capability influences effort, persistence, and achievement. Engagement is not a by product of achievement. It is a contributor to it.

Early experiences shape whether students view a subject as accessible or intimidating.

In Term 1, schools should pay attention to:

• Participation patterns
• Avoidance behaviours
• Willingness to attempt challenge
• Signals of confidence or hesitation

These indicators often predict longer term outcomes more reliably than a single early grade.

5. Curriculum alignment

Assessment theory consistently emphasises constructive alignment, a concept articulated by John Biggs. Learning intentions, instructional activities, and assessment tasks should measure the same intended knowledge and skills.

Term 1 provides an opportunity to test this alignment:

• Are we assessing what we explicitly taught?
• Do tasks reflect intended curriculum depth?
• Are teams interpreting standards consistently?

Sometimes what needs measuring is not student performance, but curriculum coherence.

A different question for Term 1

Instead of asking, “How much have students achieved already?” a more productive question might be, “What have we learned about our starting point?”

Research across cognitive science, classroom management, and motivation converges on a simple idea. Strong outcomes emerge from strong foundations.

Prior knowledge. Clear routines. Instructional clarity. Student confidence. Curriculum alignment.

These are not headline metrics. But they are high leverage ones.

Planuva is designed to support this kind of visibility. When curriculum, assessment, and classroom practice are shared and transparent, schools can identify patterns early, refine collaboratively, and strengthen foundations before chasing performance data.

If you would like to begin the year with clearer insight and stronger foundations, register your interest at https://planuva.com