Many eLearning professionals, be they instructional designers, members of the executive team, multimedia developers, or instructors, may not be fully aware or truly appreciate the usefulness of learning analytics vis-à-vis improving their products and services. Despite the fact that this data is oftentimes automatically collected, it is usually forgotten on an IT server due to poor reporting mechanisms, and valuable information is omitted from future eLearning decisions.

 In this session you will learn how learning analytics can inform instructional design, delivery, and operations by observing concrete examples of how data was collected, interpreted, and used to improve an eLearning course and to influence future projects. In addition to the basic information that can be easily mined via a learning management system, you will explore common tools that can be used to collect and manipulate user data so that meaningful information can be extracted and employed. Participants will be introduced to a series of successful practices and tips that have been used by instructional designers, online course instructors, and learning executives to enhance the online course experience of all stakeholders, particularly in asynchronous web-based courses.

 In this session, you will learn:

  • The nature of the data that is commonly collected from end users
  • How to manipulate the data in order to make sense of it
  • Common tools that you can use to collect data from learners
  • Techniques to quickly organize and interpret the data
  • Successful practices in the application of learning analytics to eLearning designs
  • Tips to manage online courses based on learning analytics
  • Techniques to curtail dropout based on the tracking data

This session will be meaningful to professionals who have had at least some experience in the design, delivery, and/or in the administration of eLearning. Note: This is not a session about statistics.

 Technology discussed in this session:
Common LMS reporting tools (e.g., Moodle, D2L), tracking tools (e.g., Google Analytics), and spreadsheet software (e.g., MS Excel).

 Student technology needs: