Key Benefits of Learning Management Systems

Learning Management Systems come with numerous advantages, such as improving management, ensuring stakeholders have accurate data, and enhancing communication.

FREMONT, CA: Analytics allows LMSs to generate insights that will help administrators, educators, and students make informed decisions by combining data from various systems, content, records, and processes.

Data-driven decision-making has been proven in academic research to result in improved business performance. For instance, academe can harness the same benefits to improve student achievement and progress as well as operations.

Enhancing the performance of students: In addition to monitoring student performance, LMS can dig deep into data and reach a broader range of processes. The following are among the capabilities of modern LMS:

Metrics related to enrollment

Identifying the most challenging or interesting parts of the course

Improving a course or process by running diagnostics

Learners' engagement in a course can be tracked

Based on key metrics, such as progress or score, cluster students

In today's LMS solutions, such data processing can be performed either stand-alone or in conjunction with analytics software.

Offers Learning that is personalized: It is also possible to tailor courses and to learn paces based on the needs of different students using learning analytics. LMSs can generate and mash-up different reports, such as learners' activity reports, progress reports, and problem reports, which enable educators to customize a "roadmap" of course materials for each student.

Learners face an incessant barrage of content in the age of big data, and analytics provide the light path to help them sort the right materials. In one study, learning analytics was applied to classify large video collections to support micro-learning. According to the study, content managers can facilitate micro-learning video collections tailored to the individual needs of learners by combining learning analytics with Speech-to-Text, Natural Language Processing, and Cognitive Computing.

Operational improvements at schools: Due to its ability to leverage powerful analytics, LMS allows schools to run more efficiently. By pulling and consolidating large sets of financial and operational data, modern learning management systems can generate analytics. By using statistical and predictive modeling, administrators can make better strategic decisions. One study found librarians use large data sets to conduct library operations like curation and analysis, acquisition, and preservation.

Enhance eLearning delivery: In a time when universities are locking down due to the pandemic, a cloud-hosted LMS provides schools with an online infrastructure for better communication with students. It is particularly promising to use web analytics in LMSs to solicit usage data, base improvements, and user feedback. Administrators use these data to improve their online learning services, such as delivering the right courses to the right learners at the right pace.

Combining web analytics with LMS data gives administrators a comprehensive framework to evaluate their online learning programs, resulting in more accurate evaluations. The analytics gleaned from an integrated Google Analytics and LMS is a good example. With the former, one can track key metrics, such as time spent on a course, rapid page exits, learner preferences, and learning marketing effectiveness. Alternatively, an LMS can provide learners with ratings on satisfaction, proficiency, personalized metrics, and progress.