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.
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.
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.
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
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.
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.
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.