How to Leverage Your LMS Data to Make Better Business Decisions
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This document discusses how organizations can leverage Learning Management System (LMS) data to enhance business decision-making through learning analytics. It outlines strategies for approaching LMS data, defining key performance indicators (KPIs), and implementing analytics techniques, alongside case studies illustrating successful applications. The presented insights emphasize the importance of technology in bridging skill gaps and improving organizational outcomes.
How to Leverage Your LMS Data to Make Better Business Decisions
- 1. James Nicolson, Product Manager| Nim Parmar, Marketing Coordinator How to Leverage Your LMS Data to Make Better Business Decisions EMPOWER TALENT
- 2. About James James Nicolson Product Manager Nimritta Parmar Marketing Coordinator
- 3. • Audio • Question box • Poll questions • Post-webinar survey • Recording and slides Housekeeping
- 4. Agenda 1.What is Learning Analytics? 2.Approaching Your LMS Data 3.Techniques for Implementing Learning Analytics 4.Case Study: Learning Analytics in Action
- 5. Poll Question Does your organization currently have a learning analytics system in place? ● Yes, and we are happy with it. ● Yes, but it needs improvement. ● No, and we don’t want one. ● No, but we need one.
- 6. TITLE SLIDE What is it?
- 7. What is Learning Analytics? Measurement Collection Analysis Reporting
- 8. Let’s use an analogy ● Website visits ● Page views ● Page open/ closes ● Many other events ● Course progress ● Content interactions ● Quiz results ● Course completion rate Learning Management System
- 9. Does your organization currently have a budget for learning and analytics solutions and technologies? • Yes, we do • No, we do not Poll Question
- 10. From 2015 – 2016: • 43.75% of corporate organizations increased their budget for learning analytics solutions • 56.25% kept it the same • 0% decreased their budget Some interesting statistics
- 11. TITLE SLIDE Making Sense of Your Learning Data Approaching Your LMS Data
- 12. Approaching your LMS Data Why? The outcome of the analysis of data, is information
- 13. Approaching your LMS Data Start with a strategy The outcome of the analysis of data, is information Why?
- 14. Approaching your LMS Data What are you trying to achieve? Instead of starting with what data you could or should access, start by working out what business goal you are looking to overcome. The outcome of the analysis of data, is information Why? Start with a strategy
- 15. Approaching your LMS Data What? The outcome of the analysis of data, is information
- 16. Approaching your LMS Data Choosing the right KPI’s relies on a good understanding of what is important to an organization The outcome of the analysis of data, is information What? Use KPI’s (Key Performance Indicators) to measure success
- 17. Approaching your LMS Data What? Some common KPI’s: Course completion ✔ Grade ✔ Activity Score ✔ Quiz attempts ✔ Progress tracking ✔ Courses purchased ✔ Site logins ✔ Time spent engaged ✔
- 18. Approaching your LMS Data How? The outcome of the analysis of data, is information
- 19. Approaching your LMS Data Identify the analytics solution that allows you to access, manipulate and present your learning information to your requirement. The outcome of the analysis of data, is information How?
- 20. Approaching your LMS Data Identify the data you need to answer these questions. The outcome of the analysis of data, is information How? Focus on identifying the data that will help answer your most pressing questions, and deliver on your strategic objectives.
- 21. TITLE SLIDETechniques for Implementing Learning Analytics
- 22. 1. Approach your data through chunks of time Techniques for Implementing Learning Analytics
- 23. 2. Make an ongoing data plan • Analysis of your data on a regular basis is the best way to measure improvements and outcomes Techniques for Implementing Learning Analytics
- 24. 3. Have a vision for your data • How do you want your data to be presented? Techniques for Implementing Learning Analytics
- 25. 4. How do you want to communicate and share your data? Techniques for Implementing Learning Analytics
- 26. 5. Have a system in place for reflection and feedback Techniques for Implementing Learning Analytics
- 27. 1.Start with a strategy 2.Use KPI’s to measure success 3.Identify a reporting/analytics solution that gives you the tools to achieve your goals. 4.Approach your data through increments of time 5.Have an ongoing data plan 6.Use charts to summarize your data 7.Feed enhancements back into the learning system Key takeaways
- 28. Most organizations lack the skills, and knowledge needed to use learning analytics. Common Challenge:
- 29. Data and analytics technologies such as LMS reporting solutions help bridge the gap in skills. Organizations with these technologies in place are able to leverage analytics without hiring designated employees. The Solution: Technology
- 30. Totara & Moodle are 80% more cost effective Managed cloud hosting reduces your IT operating costs by more than 40% Over 12 years of experience and 600 customer implementations We Accelerate Learning Performance
- 31. Zoola
- 32. Case Studies: Learning Analytics in Action
- 33. Case Study: Fluidigm Already, we are seeing a growing enthusiasm for our ability to streamline and benchmark training that can be applied equally across all groups.
- 34. Case Study: Freedom Mobile We can now make better business decisions in terms of prioritizing projects, standardizing, and processing. If we need to have a resolution for reinforcement, we can act quickly. This is a big plus for us in terms of business effectiveness. • Freedom Mobile (formerly Wind Mobile)
- 35. Clients who are using data and analytics
- 36. Corporate & Technology clients
- 37. Healthcare & Education clients
- 38. Don’t be shy! Any Questions?
- 39. • Resources will be sent out in our follow-up email • PowerPoint • Recording • Satisfaction Survey Next Steps
- 40. TOLL FREE +1.877.700.1118 EMAIL SALES@LAMBDASOLUTIONS.NET WWW LAMBDASOLUTIONS.NET
- 41. What is Learning Analytics? “An educational application of web analytics aimed at learner profiling, a process of gathering and analyzing details of individual student interactions in online learning activities.
- 42. Approaching your LMS Data Identify your targets The outcome of the analysis of data, is information What?
- 43. Approaching your LMS Data If you could only work on improving one or two areas, which would you choose? The outcome of the analysis of data, is information What? Identify your targets
- 44. Approaching your LMS Data Focus on identifying the data that will help answer your most pressing questions, and deliver on your strategic objectives. Identify the data you need to answer these questions. The outcome of the analysis of data, is information How?
- 45. Approaching your LMS Data This ensures you are collecting and measuring only what you need to answer your questions. The outcome of the analysis of data, is information How? Which questions do you need to answer in order to achieve your goals?
- 46. Outcomes • Learner engagement – Monitoring how active learners are in a course • Learner intervention – Identifying opportunities to jump in for struggling learners based on analyses of their learning data Techniques for Implementing Learning Analytics
- 47. If your data reveals that learners are spending a lot of time in courses, but their scores are still low, you can deduce that retention of learning material is low (Learner Intervention). Adjust the learning process by including elements that might increase retention, like video, or face-to-face sessions, and monitor data to see how retention increases (Learner Engagement). Outcomes Techniques for Implementing Learning Analytics
- 48. Analyzing learning data to make better business decisions We can now make better business decisions in terms of prioritizing projects, standardizing, and processing. If we need to have a resolution for reinforcement, we can act quickly. This is a big plus for us in terms of business effectiveness. • Freedom Mobile (formerly Wind Mobile)