The evolution of Student Information Systems (SIS) has brought about many valuable enhancements to support data-driven decisions and improved education outcomes. A comprehensive, well-architected SIS provides institutions the scalability to store vast amounts of student data, including: grades, pace, progress towards graduation, attendance (classroom, work done at home, and time spent online, when pertinent) disability information, communications between home and school or faculty and students, historical test data, family information, and any other information that needs to be aggregated and analyzed to make informed decisions about how best to support students and predict their potential to succeed, and graduate.
Predictive analytics from an integrated SIS gives administrators the potential to identify and quantify multiple variables and align them with organizational goals to increase institutional efficiency. Faculty can evaluate metrics such as pre-test scores from competency exams, persistent failure to login, and low grades or poor completion rates to predict which of their students are most at risk. This data can be used to create strategies aimed at increasing engagement, while simultaneously providing more challenging tasks for those with high grades who meet their goals early. These practices should result in an overall improvement across the entire spectrum of competencies, while raising graduation rates. Easy access to this data allows educators to maximum the use of their time to adapt curriculum and provide pertinent resources to raise student performance, based on individual needs – from remediation to advanced levels of achievement.
A major benefit of a web-based student information system is the ability to get data in real time. To accurately analyze and cross-reference data, a system must be in place that can consistently collect data across all departments and areas of student academic life. Investing in a system with a robust database that can be integrated with other third party systems such as learning management systems (LMS) and external test sites can improve efficiency for all users compared to managing multiple sets of credentials and having to collect data from separate systems. Reliable two-way integration is important for a focused, improved student learning experience.
As institutions implement new technologies and slowly adapt to innovations in the education industry, many end up with several different systems collecting data. This creates challenges for users synthesizing data for reliable analysis. Goal Academy in Colorado was struggling to manage data and information from multiple different systems until they opted to switch to a comprehensive student information system. Maestro SIS’s capabilities allowed Goal to replace more than 3 systems with a single, high performance database that provides administrators with powerful tools to improve efficiencies and enables faculty to increase student retention. In addition to these significant results, GOAL achieved considerable savings as well.
“Maestro SIS’s forms made it possible for us to get rid of 3 other systems. We never
could have gotten to 50,000 enrollments without Maestro to take care of all the
workwe were doing by hand before we had BocaVox on our team!”
— Goal Academy
A forms tool with reporting capabilities can be used for creating Individual Learning Plans (ILP) and Surveys. ILP’s track metrics on prior learning and current aspirational goals based on input from students or guardians gathered during conferences, and surveys can be used to gauge areas of interest and commitment levels. A SIS offering role-based dashboards affords all users (from coach, advisor, educator, administrator, etc.) the ability to see at a glance the data most pertinent to their unique roles in in the educational process, so they can act in their particular capacity to improve outcomes.
A software suite of powerful tools with reliable data collection provides endless potential to educators looking to implement predictive analytics. Utilization of the longitudinal student information housed in SIS software facilitates the prediction of student success based on both historical and real time data and it’s much more likely to be utilized when it can be accessed easily within a comprehensive student information system. The new paradigm for education – informed, data-driven decisions – demands providing educators and administrators alike the proper tools for critical decision making that can turn failures into successes.
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