With digitalization, data analytics has brought immense far-reaching innovations when it comes to the education sector. The traditional methods applied for gathering information are hectic and time-consuming, and this is why data analytics is the need of the hour.
In fact, more and more schools are promptly opting for data analytics and digitization to enhance the overall education experience for both teachers and students.
Major benefits of data analytics in enhancing education technology in schools
1. Helps Find Answers in A Jiffy
Evaluating the already existing data is one of the best ways to strategize solutions for any long-term challenges being faced by the schools. Data analytics helps schools understand the clues and context necessary to figure out exactly how, when, and where their enrolments are changing.
2. Allows Quick and Easy Accessibility
Searching through file cabinets is time-consuming and messy, not to mention it requires separate infrastructure for storage. With data analytics, schools do not have to worry about all this, as it relies on technological infrastructure to capture, manage and store information.
With data analytics and the right software, it is also easy to find the information one is looking for. But that’s not all. Data analytics also helps create a collaborative environment between leadership and teachers as all collected data is readily available in a centralized location.
3. Helps Understand Student Engagement
Card swipes and library use aren’t suitable markers anymore for understanding student engagement. Data analysis makes it simpler to track student performance online.
Additionally, it also helps track and monitor how much time each student is spending virtually learning and when they submit their school projects. For teachers, understanding the above-mentioned learning analytics help them get a clear picture of student habits and how to improve them.
4. Allows Predictive Model Development
Virtual profiles are made based on online interactions, assessing results, and demographic details. By using this information, educators can come up with predictive learning models to get insights into all future students.
Predictive models will help school authorities to understand probable learning outcomes and identify students who are at risk or are struggling severely academically. This way school authorities and teachers can intervene at the right time to bring them back on track. This way schools in the long run can monitor the efficiency of their initiatives and support students and teachers.
Also Read: 5 immediate strategies for addressing learning gaps that will minimise disruption in students’ educational journey
5. Helps Save Money
Appropriate resource allocation will help schools work more effectively. Instead of using the traditional method of manual transcription and sorting to create customized reports, data analytics can do this job much faster and more efficiently.
With the luxury of digitized information, accessing data easily and quickly will save money in the long term. Another benefit of data analytics is its cost-saving benefit when it comes to recruiting teachers and staff by looking at and understanding past school performances.
Teachers, students, staff members, and administrators tend to generate massive amounts of information regularly. This information helps gain insight both into individual students as well as the entire school.
Data analytics can help find the right data quickly and thereby help identify any problems or challenges faced by the school and create opportunities to bring positive changes.