3 Key Elements of Reporting Learner Data – Supercharging the "LMS"
March 31, 2022

Person looking at computer screen of data analysis

Capturing learning analytics within your LMS is critical in engaging learners to improve comprehension and find early indicators of success or failure to provide early interventions and support. Leveraging learner analytics and learning data in the LMS offers training and development experts with critical insights into learning patterns, allowing for an improved learning experience for all stakeholders. Utilizing the power of AI capabilities within intuitively designed platforms increase employee engagement with scalable and personalized eLearning courses. 

1. Gathering the Right Data from Learning is Essential to Success 

Practical eLearning training and upskilling courses reduce the amount of turnover an organization experiences and improve the ROI in training implementation. Knowing that eLearning training is effective and efficient can improve profit margins by 24% [1]. Leveraging the AI capabilities within an LMS allows the correct data to be gathered from the learners. Learning whom the learners are, using the content and LMS, and analyzing behavioral learning patterns optimizes learning data producing actionable insights for personalized eLearning and development programs [2]. Performance tracking is an essential and desired feature within an eLearning platform to help track the progress and implement improvements to the quality of the upskilling content; 82% of L&D professionals believe that reporting and analytic features are a crucial component in an LMS platform [3]. 

2. Analyzing the Data 

Once an LMS begins to gather learning analytics and data, it is essential to manage the data effectively to track learner status and curate training programs with flexibility and scalability. Learning analytics is extremely important for training and development programs to stay user-centered and engaging, with 82% of employees feeling a greater connection to their organization when offered quality development opportunities [4]. Once data are collected within the learning platform, artificial intelligence (AI) can go through the data and create personalized, predictive learning paths for employees based on their individualized upskilling needs [4]. It is estimated that by 2024, 47% of LMS tools will feature AI capabilities and functionalities [3].  

3. Making Decisions Based on Data 

With the demand and growth of the custom application market, increased demand for software has enabled organizations to partner with top-performing cloud-based companies that leverage AI, coding, and design for user-centered platforms. Projections for custom application development services are expected to grow to over $61 billion by 2023, with a 10-year demand increase of 21% from 2018 to 2028 [5]. In 2019, 37% of organizational L&D developers had implemented a type of AI-driven eLearning system, a 270% increase from 2015 [6]. AI capabilities enable better coding and design, enabling effective software deployment. Partnering with excellent coding and sound design, this comprehensive, flexible eLearning environment leverages natural language processing models with collected data to deliver users’ most up-to-date and practical content.  

Amesite provides a comprehensive easy-to-use platform that increases productivity through a fully managed enterprise learning platform backed by best-in-class analytics and AI-powered integrations. Boost ROI and improve employee retention with:  

  • Personalized courses to upskill staff quickly and efficiently 
  • Identifiable learning trends through customizable dashboards 
  • An intuitive engaging interface that attracts and retains employees
  • Full vendor support from Amesite, reducing in-house IT workload