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How can you forecast training needs using LMS predictive analytics?

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Training and development is a vital function of human resource management, as it helps employees acquire new skills, improve performance, and achieve career goals. However, designing and delivering effective training programs requires careful planning and analysis of the current and future needs of the organization and the learners. One of the tools that can help you forecast training needs is the learning management system (LMS), which is a software platform that allows you to create, manage, and deliver online courses and track learning outcomes. In this article, you will learn how you can use LMS predictive analytics to identify the gaps, trends, and opportunities in your training strategy and optimize your learning interventions.

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Monique Liles

1 What are LMS predictive analytics?

LMS predictive analytics are the techniques and tools that use data from your LMS to generate insights and predictions about the behavior, performance, and preferences of your learners and the impact of your training programs. LMS predictive analytics can help you answer questions such as: What are the most popular and effective courses in your catalog? Which learners are at risk of dropping out or failing? How can you personalize the learning experience for different segments of your audience? How can you measure the return on investment (ROI) of your training initiatives?

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Monique Liles
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I want to see LMS predictive analytics used in the courses I develop to personalize learning for students and employees. I would like to create a variety of pathways to mastery and learning using competencies and skills that will be needed in the near future. It would be great to be able to predict future workforce trends and to suggest learning content items that prepare students in advance to meet those trends rather than playing catch up with continuing education.

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2 How can you collect and analyze LMS data?

To use LMS predictive analytics, you need a reliable and robust data collection and analysis process that involves defining goals and metrics, choosing data sources and methods, applying data analysis techniques and tools, and acting on insights and predictions. Before beginning the process, it's important to have a clear idea of what you want to achieve with your training programs and how you will measure your success. This may include increasing employee engagement, retention, productivity, or customer satisfaction. To collect data, you may be able to access sources such as course content, learner profiles, assessments, quizzes, surveys, feedback forms, gamification elements, or external systems. Once the data is ready, you can apply different types of data analysis such as descriptive, diagnostic, predictive or prescriptive. Additionally, various tools such as dashboards, reports, charts or graphs can help visualize and communicate your findings. Finally, these insights can be used to inform decisions about your training strategy and interventions.

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Monique Liles
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Using xAPI data, I would like to be able to use predictive analytics to allow students to create their own Ph.D. programs. For example, if I could, I would create an interdisciplinary course of study with a research topic. I would like to earn a Ph.D. in sociology made up of courses in biology, epigenetics, and social justice, among other disciplines to study the problems faced in low-income neighborhoods and the relationship between environmental factors, poverty, and social behavior. The research project would be based on solving real social problems. Creating these types of programs using predictive analytics and student interests and engagement in their courses will allow higher education to revive its social relevance.

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3 How can you forecast training needs using LMS predictive analytics?

LMS predictive analytics can help you forecast training needs by providing valuable information and guidance on how to improve your training programs and align them with organizational and learner goals. For example, you can use LMS predictive analytics to identify skills gaps and competencies of your learners, analyze trends and patterns of your learners, and evaluate the impact and ROI of your training programs. Assessing the current and desired skills and competencies of your learners in comparison with industry standards and benchmarks can help you identify the gaps that your training programs should address. Additionally, analyzing enrollment, engagement, completion, satisfaction, and performance rates of your learners can help you understand their behavior, motivation, and preferences. Moreover, evaluating the results and benefits of your training interventions with the costs and resources involved can help you determine the effectiveness and efficiency of your training programs. Finally, identifying best practices and recommendations can help enhance the quality, relevance, and value of your training programs.

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Monique Liles
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I would like to use predictive analytics at my current institution to predict workforce trends in training needs. Aligning worker goals, department goals, and organizational goals is critical in developing a successful workforce. Using LMS predictive analytics, collected data on employees (resume, training over the course of their position, work outside of the organization, etc.) will allow an organization to look at all employees within it to see who is the best fit for upcoming positions and projects. Using predictive analytics will provide deep insights that have not been traditionally available. This data can be used to identify the best people for promotion or hiring. It can remove biases that hinder organizational progress.

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4 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Monique Liles
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Using LMS predictive analytics can help us meet the needs of society with new products and services just in time for them to be useful. We can also use LMS predictive analytics to improve organizations by examining data impartially and thinking about biases that may have prevented us from seeing solutions that have been there all along. We can also use this data for employee development and to provide critical interventions to help prevent problems in the workplace, as well as to promote personal and organizational development. Predictive analytics can also help organizations use resources more efficiently, and engage with the community at large in a more efficient and positive manner.

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How can you forecast training needs using LMS predictive analytics?

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1 What are LMS predictive analytics?

2 How can you collect and analyze LMS data?

3 How can you forecast training needs using LMS predictive analytics?

4 Here’s what else to consider

Training & Development

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How can you forecast training needs using LMS predictive analytics?

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1 What are LMS predictive analytics?

2 How can you collect and analyze LMS data?

3 How can you forecast training needs using LMS predictive analytics?

4 Here’s what else to consider

Training & Development

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