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The Campus Analytics Suite is a set of tools that provide data to assist with increase graduation rates by predicting when students are at risk and providing daily updates to this data.
Product Page:
https://www.infinitecampus.com/products/campus-analytics-suiteComplete documentation in the Campus Community at the link below (you will need to log in to the Campus Community first … here is how).
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Campus Early Warning
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Campus Early Warning uses powerful statistical algorithms to measure how attendance, behavior, academics, home and school stability interact to predict graduation. GRAD Scores help Student Services respond with interventions targeted at students who would benefit the most. Privacy is our highest priority, so the system saves risk correlations that cannot be connected back to individual past students.
Overview video:
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What is Early Warning?
Early Warning is a tool that automatically discovers statistical relationships between educational records and enrollment outcomes. Early Warning uses these evidence-based risk factors to estimate each student's likelihood of a positive enrollment outcome (matriculation or graduation) versus a negative enrollment outcome, such as dropping out of school. See the full documentation below.
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The predictive analysis that Campus employs to generate a student's GRAD score is ever-evolving and constantly updated as new data is entered into Campus. A student's GRAD score includes (but is not limited to) the following categories of data:
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Early Warning learns statistical relationships between educational records and enrollment outcomes. Machine learning uses computers to find evidence-based predictors of student outcomes using a large amount of anonymous data. To estimate a student’s likelihood of a particular enrollment outcome – such as dropping out of school – the computer system compares her record to past records of similar students.
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If the entered values do not match the results, data is overridden to list the students that do match the entered values. For example, if ten students have a GRAD score of 50, and 20 students have a GRAD score of 55, and the Student Count is set at 15, the ten students with a GRAD score of 50 are listed.
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Early Warning Student Detail
For more information on the values returned for each student, select that student from the list by clicking anywhere in any of the columns (except the Watchlist). This displays basic student information (student number, birth date, GRAD Score, etc.), a GRAD Score History Graph, and separate cards that provide details for the category scores.
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GRAD Score History
The GRAD Score History graph plots the student's GRAD Score and Category scores for a selected range—annually, last 12 months, last 30 days, and last 7 days. Users can hover over a plot point in the graph to see the student's score for that score type. Score types can also be removed from the graph by clicking on the legend on the right.
Monthly and daily history begins calculating when the Early Warning tool is available for a district.
The Range is set to Annually in the example below because the highest degree of change is visible.
The example below sets the Range to the Last 12 Months. Notice there is a more significant dip in the Attendance and GRAD Score from August to September, and a larger change in the student's Behavior score. But, since the student's Stability is increasing slightly, that item has been removed from the graph (in the legend, that category is grayed out). Also, Show Category Impact Weighting has been turned on, changing the size of the plot points relative to the Category Impact Score at that time.
Click on any data point for any of the selected graph plots to display a list of events that may have contributed to a change in a student's score in the historical side panel.
The following example shows a change in the student's Curriculum score from 2016 to 2018 (127 in 2015 to 84 in 2018). By clicking on the data point for 2015, a Category Detail panel opens on the side that lists the student's curriculum information; clicking the data point for 2018 shows changes in the student's GPA, perhaps contributing to the student's overall Curriculum score.
Opportunity for Change Graph
The Opportunity for Change graph lists in bar chart format what category impacts the student's GRAD score most. The categories are represented by the ABCS (Attendance, Behavior, Curriculum, Stability) and are color-coded to represent the student's risk level. When hovering over the bar, the total number of points by which the GRAD Score may be affected, the risk level of the score (high, medium, low), and the complimenting category detail are highlighted.
In the example below, the student's highest areas of opportunity are for Curriculum and Stability. Hovering over the stability bar shows the risk level, the point value and the Stability card is illuminated.
