The Ed-Tech industry has grown tremendously over recent years due to the increasing demand for online learning management systems (LMS). In the wake of the COVID-19 pandemic, LMS application development has become an integral part of the global education system. As schools, colleges, and universities remain shut in many parts of the world, LMS software solutions are empowering both students and educators. Experts predict that online learning is going to be the new normal in the education sector for the foreseeable future. That said, it is critical for educators to bolster their online learning solutions and improve the quality of education they deliver.
When it comes to improving online learning experiences, data analytics is of foremost importance for educators and LMS solution providers. Advanced analytics tools, powered by cognitive technologies, enable educational institutions to reduce student dropout rates by enhancing their overall learning experience. Besides, it helps them analyze the learning pace of their students and evaluate their academic performance with minimal biasing. Above all, it aids in shortening the learning curve of students, learners, and aspiring candidates for their comprehensive growth.
In this post, we shall learn the significance of data analytics tools in educational technology and related industries. Furthermore, we shall explore the analytics features that you must consider having in your eLearning platform while opting for LMS application development services.
Also, Read SaaS-based LMS Solutions For eLearning
Analytics Features To Improve eLearning Experiences
Here, we shall delineate the most crucial analytics features for the Ed-Tech industry that are conducive to delivering improved learning experiences. Let’s move ahead and explore these features from an educational standpoint.
eLearning Analytics
Implementing data analytics features in LMS application development enables educators to monitor and analyze their students’ academic performance with ease. Analytics tools could be used to track students’ course progress and identify areas of improvement to drive comprehensive academic growth. In addition, ed-tech analytics aids in enhancing the engagement level through systematic revisions in eLearning content and course material.
Predictive Modelling
In LMS application development, predictive modeling is a statistical technique that helps you ascertain the future performance of students based on their current academic records. The data accumulated by predictive modeling algorithms is further used to create a learning profile for every student. The profiles are created in accordance with the predicted learning outcomes of different students. In this way, we provide unique learning content to all students so they can learn and grow at their own pace.
Also, Read Developing Online School Management Software
AI Assessment For Online Exams
As of today, several educational institutions are already using AI-driven remote proctoring techniques to conduct online examinations. Remote proctoring is a computer technology that facilitates automated invigilation for online exams via web cameras. With the webcam attached to a computer system, the proctoring software for AI assessment continuously monitors the student’s activities. In doing so, it ensures that no unfair means are used by the student during the exam. In today’s pandemic situation, remote proctoring is an effective way to conduct online examinations with complete sanctity and inviolability.
Adaptive Systems
Adaptive eLearning systems use AI and machine learning algorithms to offer a personalized learning experience to every student. It renders the most productive learning environment where the LMS software automatically adjusts to the student’s existing skills and pace of learning. These systems are designed to collect data as well as process and analyze it to keep pace with the student’s learning skills and abilities. For instance, if a student is weak in mathematics but performs well in other subjects, it would alter the course of mathematics to start with the basics.
Social Learning Analytics
Several educational institutions equip their LMS software systems with social analytics tools to track their students’ activities on the web. It is a relatively new approach that involves gathering relevant data from social platforms where your students are currently active. Social learning analytics analyzes students’ data across social networks to identify their behavioral patterns within the learning environment. Based on this data, educators can create interactive quizzes, FAQ forms, blogs, and vlogs to engage learners and shorten their learning curve.
You may also be interested in reading Odoo Learning Management System
Key Takeaways
– Online learning has become a new normal due to the COVID-19 pandemic
– There has been a sharp rise in the demand for LMS application development services worldwide
– The Ed-Tech industry is going through rapid technological transformations with AI-driven features and analytics tools
– eLearning is likely to remain the primary source of education in most countries for the foreseeable future
– Using big data analytics tools is critical to enhance the quality of education and deliver improved learning outcomes
Why Choose Oodles ERP For LMS Application Development?
We, at Oodles ERP, provide end-to-end LMS software solutions to deliver engaging eLearning experiences across multiple devices and platforms. Our development team specializes in implementing next-gen technologies to enhance online learning through interactive online courses, adaptive learning, and advanced data analytics features. Our custom LMS application development services are conducive to improving the quality of education and shortening the online learning curve. We have successfully built several full-scale LMS software applications using open-source platforms like Moodle and GoSkills. To learn more about our LMS software solutions, drop us a line at [email protected]
