Data Analysis for Education

The following is an excerpt from our book, Pricing for Associations, available now on Amazon.

Education programs are a vital part of many associations. Here are some examples of data to look at and questions to ask for both in-person and digital education offerings:

In-Person Education:

1. Attendance Patterns:

• What is the average attendance rate for our in-person education events?

• Are there demographic trends among attendees (e.g., age, profession)?

• Is there a geographic concentration of attendees?

2. Course Evaluations:

• How do participants rate the quality and relevance of our courses?

• What specific aspects of the courses receive positive feedback?

• What improvements or changes are suggested by participants?

3. Participant Profiles:

• What are the common job titles of course participants?

• Which industries do they primarily represent?

• How many years of experience do they typically have?

4. Engagement Metrics:

• How engaged are participants during the sessions?

• Are networking opportunities effectively utilized?

• Are there any elements of the events that could enhance engagement?

Digital Education (eLearning, Webinars, Online Courses):

1. Digital Course Analytics:

• What percentage of enrolled learners complete the digital courses?

• How much time do participants spend on each module?

• Are quiz scores indicative of effective learning?

2. Learner Feedback:

• How do learners rate the effectiveness and usability of our digital courses?

• What aspects of online education do they find most valuable?

• What suggestions or criticisms have been provided through feedback?

3. Content Utilization:

• Which parts of our digital education offerings are most popular?

• Are there underutilized modules that could be improved or promoted?

4. Technology Engagement:

• Are learners actively using interactive features and collaboration tools?

• Are there technical challenges that learners encounter?

5. Learning Pathways:

• How many learners follow a structured learning pathway?

• Are there opportunities to guide learners more effectively through educational content?

6. Assessment of Skill Gain:

• Do participants demonstrate improved skills or knowledge after completing courses?

• How do these improvements align with their initial learning objectives?

Analyzing data for education programs, whether in-person or digital, provides insights into the effectiveness of your offerings, learner engagement, and areas where improvements can be made to better serve your members and learners.