Learning analytics helps improve performance. How? It helps your employees perform by reporting learner-data – that may be utilized to create new apps and to improve existing programs. With learning analytics, you also get answers to queries like to what the return on investment (ROI) from a training program is, and to what extent training may improve a specific business outcome. Download this thorough guide on Implementing learning analytics to optimize training effectiveness. You can get responses with 4 levels of learning analytics: 1. Descriptive Evaluation: What happened?Collates data from multiple sources about what occurred.2. Predictive Evaluation: Things will happen?Identifies probable issues and opportunities to provide targeted learning aid.4. Prescriptive Analysis: Just how can we create it happen?Helps plan for interventions to improve the efficiency of training. You can also implement learning analytics using microlearning. Microlearning is nuggets of information delivered in different formats such as infographics, podcasts, videos, and quizzes. With learning analytics, learning actions with assets could be monitored easily. A learning management system with dashboards is did you know we could even use learning analytics with eLearning assessments? Assessments – both formative and summative – play a valuable part in eLearning. Performance-based assessments to help you determine if learners have met the set learning objectives. And learning analytics offers data here, directly to designing tests from identifying areas of progress. To learn more about the function of learning analytics in eLearning evaluations, read this site. We also have a brief presentation of it. Take a look!