Edu Analytics uses AI (Artificial Intelligence) to deliver insights into the hands of teachers and others at every level in schools.

Leading edge innovation that turns data into evidence

Some of the data schools can analyse to improve learning exists in a range of existing portals and databases. This data, however, is about learning that has taken place at an earlier time. Real-time data is much more powerful to improve learning.  Both types of data are often difficult to access, and linking data across silos and analysing data requires skills and knowledge that is often not available in schools. ProLearning Edu Analytics is a Web application that links up data from all available sources and automates the analysis of the data.

An interface driven by advances in AI will soon allow you to simply ask a question, and if it can be answered from the available data, ProLearning will provide the answer in seconds, in the everyday language of teaching and learning.

Benefits to your school

  • Focused on the improvement of learning
  • No tables and charts to interpret
  • Provides everyone with the specific information they require
  • Delivers information at the point of need
  • Monitors student learning, and program and school performance
  • You have the evidence at your fingertips to make better informed decisions
  • Save up to $50,000 in time by replacing the many manually produced reports in your school

How does it work?

One of the major impediments to schools making use of data to improve learning is the advanced data management and statistical skills required to do so in a valid way. The data and analysis systems currently available to schools are based on the assumption that the user has these advanced skills. Also, most systems available to schools provide a one-size-fits-all approach, they don't allow you to customise and build the analyses that you want for your school.

ProLearning takes a different approach. It assumes that all the statistical and data management skills are not available in schools, so ProLearning deploys AI (Artificial Intelligence) to build them into the application as automated processes.

Data is only useful if it answers your questions. Now that the advanced data and statistical analysis skills have been taken care of, the application needs to speak to you in the language you understand — the lexicon of teaching and learning — not some arcane analytics framework or 'visuals' and dashboards that mainly repackage the data in just another format.

It is important to recognise that, like all data, educational data contains a mix or 'signal' and 'noise'. The first task is to separate these two components of the data — the noise tells us nothing, so we need to extract it and work only with the signal. Good educational data is about 80% signal, but some of the data we have in schools contains only about 50% signal. Evidence is what comes from the analysis of the 'signal' in data.

The task of Edu Analytics is to take this one step further and interpret the evidence before it is delivered into your hands, without you needing any training or knowledge about how to do this.

ProLearning's powerful internal applications allow schools to simply ask the questions they want answers to. Using advanced artificial intelligence strategies, it works out which data to analyse, what types of analyses are required, undertakes the analyses, and provides the answer to you in the everyday language that you understand.

For formal school review and related purposes, ProLearning can also provide online, real-time presentations of statistical analyses and visualisations, with annotated interpretations. Not everyone knows how to interpret graphical representations of data analyses, so ProLearning moves beyond the surface understanding of dashboards to provide an explanation of its analyses in the everyday language of schools.

Most analyses are available in offline reports in formats you can use for discussion and presentation to others (including Word and PowerPoint), that you can use as Self-Evaluation Reports for School Reviews.

Making sense of complex information

ProLearning doesn’t assume teachers have the training, skills or knowledge required to interpret statistical and visual representations of traditional data analyses. This means that anyone using the system will be able to access easy-to-understand reports, based on the questions they have asked.

ProLearning is focused on improving learning. It automates the analysis of data about student learning, such as:

  • NAPLAN, PAT, and data from other tests
  • Teacher assessments of student learning
  • Attendance and student behaviour
  • The affective characteristics of students, such as engagement, aspirations, and resilience.

It is designed to:

  • Diagnose the areas in which individual students or groups of students are struggling
  • Provide feedback to teachers to inform classroom teaching and learning
  • Provide prognostic information about a student’s potential learning through different pathways
  • Detect students who may be ‘at-risk’ of failure
  • Monitor and evaluate teaching practice and programs
  • Assess programs and areas of learning that will benefit from an improvement focus
  • Explain trends and changes in school performance
  • Monitor progress towards the achievement of targets in the school's Strategic Plan.

ProLearning can also determine if new information needs to be captured to provide a more complete explanation of the learning of individual students or groups of students, and about school changes and trends. Edu Analytics automatically deploys Edu Intel to capture such data from students, teachers, and parents. ProLearning is unified and simple to use.

What do you want to know — asking questions of your data?

Asking questions is a powerful way to learn new things. ProLearning is designed to answer six types of questions. The first four focus on the learning of individual students. The other two focus on the school, a sub-section of the school, for example, a class, a school program, or an area of the curriculum:

  1. Elementary questions — retrieve basic information about a single aspect of the data, for example, how many days has a specific student been absent this Term?
  2. Diagnostic questions — ask about the learning progress of an individual student, which can be tuned to provide evidence about learning in a specific sub-domain, for example, a specific aspect of Writing.
  3. Prognostic questions — address the probability that the behaviour, attendance, or learning outcomes place a student ‘at risk’. This allows key staff in schools to receive close-to-real-time advanced notification of the likely impact of future events for an individual student, so that preventive action can be taken. Further, the analyses provide direct feedback about the effectiveness of strategies that have been put in place for an individual student.
  4. ‘What-if’ scenarios can be posed at specific points in an individual student’s progress through schooling, for example, when the student is choosing courses for their senior schooling.
  5. Evaluative questions — look for key trends and change points in student learning outcomes over time and across sub-groups of students, for example, "Have our NAPLAN Writing scores improved over the past 5 years?" or "Is the improvement in Year 12 results in English matched by similar improvement in other subjects?"
  6. Causal questions — seek to explain what has caused changes in learning outcomes, for example, "What factors explain the decline/increase this year in Year 5 NAPLAN reading scores?"

Providing answers to the types of questions above is beyond the capability of systems currently available to schools. Such questions can only be addressed in a research environment. ProLearning puts such an environment in the hands of each school. ProLearning uses AI (Artificial Intelligence) applications manage interfaces to the equivalent of an educational research environment inside ProLearning — without you being required to obtain PhD Degree in research.

What if...

You could learn everything from your data by using an approach that:

  • Focusses on the improvement of learning
  • Interprets the analysis for you, in the language of teaching and learning
  • Schedules the delivery of information just-in-time, when you need it
  • Requires zero training
  • Embeds all required technical knowledge
  • Analyses data in a research framework
  • Provides up-to-date information — in close to real-time
  • Explains why things have changed
  • Significantly reduces the time required for you to access information from your data

ProLearning delivers all this.

Taking the ‘long-view’ of student development

Looking at snapshots of student learning is a less than optimal way to understand why students are achieving at their current levels. Knowing about their past learning and the behaviours that impact on learning provides a much deeper understanding of each student. The human brain does some of this work very efficiently, but is less effective at handling the large amounts of data that is required for teachers to understand the learning of every student across every class. ProLearning can access unlimited computing power to process and analyse large amounts of information about each student, before putting it at your fingertips.

ProLearning can access all data from when a student started their schooling up until today, to help explain a student’s current learning. This provides higher quality answers to questions that focus on a student’s progress in learning over several years of schooling.

With ProLearning, the relationships between teacher grades, NAPLAN, Year 12 examinations, other assessments, attendance, behaviour, student engagement, aspirations, and attitudes, can all be incorporated into the analysis of learning across each individual student’s school journey.

Using data across multiple years also provides a longitudinal perspective of school-level change, and changes in the effectiveness of teaching programs over time.

How ProLearning saves your school money

Many high schools spend substantial resources to manage and analyse data, creating reports, and checking them to confirm their accuracy. Once finalised, the data is moved into a presentation format to share with others. Manual processing of data in this way always carries the risk of errors and inconsistencies in the process. The entire process depends on several people and much of it is repeated several times a year, and from year-on-year. 

Data collected from a sample of high schools indicates that the cost of this work often amounts to more than $100,000, particularly when the time input by Deputy/Assistant Principals and Heads of Department are taken into account.

Hence, there are considerable resource savings available — possibly more than 50% — from ProLearning's automation of data management, data analysis, interpretation of the analyses, and preparation of reports.

Read more about ProLearning's efficacy for schools.

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