Data Ladder Solutions for the Education Industry
By combining and matching disparate data, educators can not only predict how students will perform on standardized tests but also which instructional techniques work best on individual students.
The effectiveness of K-12 education
Data is everywhere, and businesses in every sphere are leveraging it to gain a competitive advantage by understanding processes better, refining them, and enabling better decision-making.
With Data Ladder’s help, both public and private educators are now increasingly realizing the value of data quality and analysis to measure performance, based on prevalent models in big business.
Education institutions gathered data in the past too, but on a very limited scale. The data itself was not properly managed so as to provide effective insight. For example, how can we evaluate a school’s performance if we cannot measure student performance data from their college and how they performed later on? Effective data-driven decision making demands that the right data be collected from the right sources, and then combined to provide intelligence. That’s where we come in.
DataMatch Scores High on Education
Education is one of the most important, if not the most important industry we have, because it represents the future. Data-driven decisions are made using student assessment data, along with other relevant data to plan out education strategies.
Currently being used is the SLDS, which stands for Statewide Longitudinal Data System. This software is used to help teachers, schools and districts plan out the best learning strategies for said student. The SLDS can help close the educational achievement gap, helping identify a student’s academic strengths and weaknesses, as well as any attendance issues.
Linkage to all vital records is imperative. Right now, with Data Ladder’s, SLDS is being used at over 97%, much higher than that at the national level (using SLDS at only 90%).
What You Get with Our Solutions
Data Mining Techniques
Help identify problem areas for at-risk students like:
Truancy • Disciplinary problems • Changes in grades • Changes in performance
Readily integrate the world’s fastest and most accurate CRM deduplication and check for duplicates as they are being entered in web forms.
Customer Experience on Campus
Instead of focusing on how data analysis impacts Administration or IT, the programs will be focused on improving the experience of faculty, staff, and students. If it doesn’t save time and improve quality of life for those groups, then it shouldn’t be pursued.
Knowing the results of the data and being able to properly understand the metrics, educators can significantly impact on the direction of their programs. Governments can use the same data and properly provide budgets that better support schools in their goals.
Learn from your Students
By analyzing data, educators can not only predict how students will perform on standardized tests but also determine which instructional techniques work best for individual students. Record linkage tools can bring together disparate data.
Targeting Promising Students
By using data, Institutions are now targeting students in junior high school, versus their junior year in high school. Data results will help identify, target and develop these students for future enrollment. At the same time, it will also help identify students who are at risk of dropping out.
School District Improves Productivity Through Data Parsing
Understanding Data-Driven Decision Making with SLDS and P-20
P-20 Systems: Taking Education Back to the Basics
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