Predicting Student Success

One of the goals of the learning, teaching and assessment programs in schools is to ensure every student is successful and reaches their potential. This requires the identification of personalised learning areas for growth and stretch, as well as identifying students who need help. The following outlines what Predictive Student Success is, why it’s important and how to get started.

What does predicting student success mean?



Collect Data

Having an easy method to collect, store and organise data is critical to success. With multiple data sources that can be collected including NAPLAN, PAT, PISA, School based assessment and class based observations all need to be recorded for analysis. 



Empower Stakeholders

Research confirms that teachers want better learning insights to help direct teaching, grow learning and measure progress. Students, teachers and parents need more assistive technology to deliver the insights they require in a timely fashion.



Identify Trends

Predictive analytics can be used to identify trends and highlight the performance outcomes that educators are looking to achieve and identify the contributing factors that are driving student success.

“If you can’t measure it, you cannot improve it” - Peter Drucker

There are a number of areas to consider when trying to predict outcomes and the following areas can give more insight into how these areas work together.


What problem are we trying to solve? 


What factors make up success?


Types of  techniques applied to data.


Be prepared to act on the findings.

why is this important?

Visible learning allows teachers to confirm suspicions, identify patterns and act earlier for the best possible student outcomes.


tick-lime.svg  Make the learning

When it is clear what teachers are teaching and what students are learning, student achievement increases.  Teachers are not wedded to specific teaching strategies – rather, they regularly focus on evaluating the effects they have on students, and adjust teaching methods accordingly.


tick-lime.svg  Early identification
better outcomes

Teachers confirm suspicions or identify patterns and act. Technology tools can assist by predicting outcomes based on learning data – and passing the results of the analysis back to teachers in a timely fashion.

When focusing on Predicting Student Success, there are a number of topics that are worth discussion.

Which analytics improve Student outcomes? 


Predicting Student Success
with data


Making informed
learning decisions


Building a culture of
Student Success

how can we get started?

There are many ways you can get started to use the power of Predictive Analytics to drive Student success.

Standardised testing in
Australian schools


start proof of concept



Australian curriculum practice
quizzes and questions


start proof of concept



Formative assessments in
Australian schools


start proof of concept



Capturing data and sharing
through mobile platforms


start proof of concept


more resources for prediCtive student success

Here are some articles that delve a little deeper into different areas of Predictive Analytics so you can take your learning to the next level.

Microsoft Cognitive Services

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Microsoft PowerBI

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 PowerBI in Education
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