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Home » 7 Ways Learning Analytics Helps Improving eLearning
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7 Ways Learning Analytics Helps Improving eLearning

Zestful AdminBy Zestful AdminNovember 15, 2022Updated:April 5, 2023No Comments0 Views
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Teachers, principals and educational stakeholders always work and look for various ways through which they can improve students’ learning experience and their academic results. And in today’s time of e-learning and online education teachers and educators look out for digital ways to do this task and in this process learning analytics help a lot.

Learning analytics or student reports can be checked in school ERP and attendance management software.

Learning Analytics is the measurement, collection, analysis, and reporting of data on students and their learning. This is done to facilitate and improve the teaching-learning experience. It shows details like the log-in and log-out hours of students, hours of interaction with every online course, homework, assignment submission, etc. But the question is how all these things help in improving online education.

In this article, you will get to know how learning analytics help in improving e-learning.

Shows Student’s Current Performance:

The foremost use of learning analytics is that it is used to check the current performance of the students. The analytics collected by the apps like the teaching app and LMS show how students are interacting with the online course, attendance details, homework and assignment performance, and other academic details. This collected data helps the teachers know whether students are understanding the taught topics or not.

Predict Future Performance:

Along with showing the current academic performance of the students, the analytics help the teachers and educators predict the future performance of students. For example: if a student is performing average in two subjects, but doing excellent work in other subjects. Then this shows that he needs assistance in those two subjects, after which his overall academic performance can be improved. All this prediction is only possible if students’ learning data has been collected.

Personalized Learning Experience:

The time has gone when students have to learn according to teachers’ teaching style. In today’s e-learning scenario teachers are required to adapt and modify their teaching style according to students’ learning needs. To make this happen teachers can use learning analytics, as learning analytics provides insight into every student’s learning behavior. This helps the teachers to create personalized learning courses and plan their lesson plans to fit into the learning pattern of students. Teachers can use LMS to create personalized learning content and can use teaching apps to create digital lesson plans. This will provide students with a personalized learning experience, enhancing their performance.

Better Retention Rate:

No student remembers the things which don’t interest them, whether teachers teach online or offline, resulting in a lower retention rate. However, this problem can be solved using learning analytics. As teachers can create personalized online learning content for students, it will keep students engaged in learning. When students are engaged with learning material and find it interesting to learn from, this results in a higher retention rate and better academic performance.

Feedback for Teachers:

Learning analytics not only helps in student improvement but it’s also great feedback for the teachers too. The student performance data collected by school ERP or LMS provides insight to the teachers on the weak and strong areas of every student. Teachers can evaluate their teaching methods and check how they can improve to help students. For example, the LMS insight shows that students are facing difficulty in one unit of an online course, this shows that the unit is not created well and does not engage them. Then, teachers can edit or recreate that unit again according to the understanding level of students.

Helpful for Parents:

Along with teachers, parents also have access to the student’s learning analytics. This is done to gain their trust and maintain transparency between teachers/schools and parents. These analytics help them keep track of their child’s learning and assist them whenever needed.

Better Future Learning Experiences:

As mentioned earlier, analytics also help in predicting the future academic performance of students. This means that teachers can work in advance to create better e-learning courses and lesson plans for the future. Thus, creating perfect and efficient learning courses means no extra fees need to be paid through the fee management system by parents for better online courses for students.

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