What is Student Growth Profile (SGp)?
In a time when big data is becoming the rage, it can be difficult to know how to interpret the results. The term “big data” has come to be used to describe datasets too large for traditional data management applications. However, the SGp research data gathered by SIG is relatively small in comparison to these datasets. As such, it can be more easily managed using conventional data management systems.
SGp provides teachers and administrators with a variety of ways to analyze student growth. For example, a teacher can compare students’ current SGP scores to their past ones to determine if the student is growing more or less than expected. Teachers can also use SGPs to track a student’s progress towards meeting state proficiency standards. This information can be accessed by selecting a window specific SGP score in the Star Growth Report or by using our mSGP tool.
SGPs provide an important piece of data for both educators and parents. The mSGP tool allows users to access their child’s data, including current and historical SGP scores and a projection of what the students might need to do in order to meet state proficiency standards. This information can be helpful for parents and educators when deciding how to support students in their educational journey.
In addition to mSGP, SIG also offers longitudinal (time dependent) data through its SGp portal. This longitudinal data is especially useful for teachers preparing for state assessments and for administrators analyzing the effectiveness of instructional practices. This longitudinal data can be compared by school, division, and grade level, and allows for more accurate trend analyses of student achievement.
While SGp does not have an official release date yet, it is expected to be available to all districts and schools by spring 2023-2024. It is currently being tested in several pilot districts. The mSGP and longitudinal SGp tools are part of the new eSchool Plus platform, which will be released in fall 2022.
Providing timely, dependable data is a top priority for the EDI team. To ensure that we deliver the best possible product, a variety of factors are taken into account when developing our data products. This includes the availability of relevant and timely data, ensuring that the data is accurate, and delivering the results in a format that is user-friendly.
One of the most important components of a quality data product is an unbiased analysis. We have created a set of guidelines that our analysts follow to ensure the integrity and validity of our data. These guidelines are based on the research and experience of our team. These guidelines are available in our Frequently Asked Questions (FAQs) section of this page. If you have any additional questions, please contact us. We will be happy to assist you.