Understanding data strategy, analytics, and key performance indicators is critical to the successful application of learning analytics in an organization. Many organizations develop and deploy expensive training solutions but do not include a comprehensive data strategy and analytics plan. As a result organizations may not understand how their learning content is used, when students require intervention, and when and how to update content so that learning is more effective and efficient.
This tutorial provides a comprehensive overview of designing and implementing an effective data strategy for learning analytics. Participants will gain knowledge and skills necessary to document algorithms, metrics, and visualization requirements to create effective analytics. The tutorial will include the development of a short data strategy to address a sample use case. Attendees will perform an evaluation of the key performance indicators by determining how to evaluate data visualizations. Participants will leave the tutorial with a solid understanding of the main functions of learning analytics, the components of a data strategy, and how to apply these concepts in practice.
This tutorial is for data scientists, xAPI professionals, learning content developers, and instructional designers who have a requirement for or interest in learning analytics and visualizations.
Keywords
ADVANCED DISTRIBUTED LEARNING, ANALYTICS, BIG DATA, DISTANCE LEARNING, EDUCATION, ELEARNING, EMERGING TECHNOLOGIES, ENHANCING PERFORMANCE, EVALUATION, EXPERIENCE API, LEARNER ANALYTICS, LEARNING ANALYTICS, LEARNING TECHNOLOGY STANDARDS, METRICS, MILITARY LEARNING, ONLINE LEARNING, OPEN STANDARDS, READINESS, STATISTICS, TECHNOLOGY, TRAINING, VISUALIZATION, WEB-APPLICATIONS, XAPI