5 Reasons AI Is The Future of Association Learning

The adoption of artificial intelligence (AI) has boomed in the past few years across industries—and associations are no exception. In a matter of months, the number of association executives using AI grew from 8% to 58%.

Today’s professionals have diverse learning needs that traditional learning models simply can’t meet. As your members increasingly seek personalized and flexible educational experiences, AI rises to meet their expectations. This powerful technology also holds many benefits for association management.

It’s clear that associations are readily leveraging AI, and for good reason. In fact, there are several reasons this technology is pivotal to the future of association learning, which we’ll unpack in this article.

1. Drives Personalized Learning

To help your association members access educational content that meets their industry-specific needs, your association must provide learning experiences tailored to their goals. 

For example, a healthcare association needs learning management tools that offer continuing medical education (CME) credits and ACCME PARS reporting. Without these features, this association would have difficulty delivering valuable content to medical professionals.

Similarly, AI supports personalized learning by tailoring the experience to members’ unique preferences and behaviors. This includes:

• Addressing knowledge gaps. Using information about members from your learning management system (LMS) and other databases, AI algorithms will identify learning gaps and suggest topics to ensure you provide the content members are looking for.
• Course recommendations. Based on members’ learning history and educational goals, AI tools can suggest courses, webinars, and other content that aligns with their interests.
• Course assessments. AI features can automatically generate quizzes and assessments to test learners’ retention of key concepts.

Think back to our healthcare example. Using AI-powered learning tools, this association might realize their educational content doesn’t cover recent developments in healthcare technologies, like predictive analytics. The AI algorithms might then suggest new content topics, such as “A breakdown of predictive analytics in healthcare” or “Five benefits of predictive analytics for care managers.” 

After the association implements these new courses, members who might be interested in them will receive automated course recommendations. Upon taking these courses, members could test their knowledge of the four stages of predictive analytics, care management interventions derived from this type of analytics, or any other key concepts from the courses.

2. Provides Data-Driven Insights and Analytics

Your association needs data-driven insights to make informed decisions when creating learning content. Instead of analyzing your member data and trying to draw conclusions manually, AI algorithms extract actionable insights from vast amounts of data instantly. 

This process plays a critical role in:

• Identifying trends in learner engagement. AI can analyze data points like course completion rates and time spent on specific modules to understand the patterns in members’ learning behaviors.
• Measuring ROI. Associations can leverage AI to track course effectiveness by analyzing members’ participation relative to the cost and effort required to offer the content.
• Forecasting future educational needs. Using historical data and emerging trends, AI algorithms can predict future educational needs, allowing your association to prepare content in advance and stay ahead of the curve.

Paired with the personalization techniques your association already uses, these AI-powered insights help your organization meet members on a more individualized basis.

3. Enhances Member Engagement

Equipped with member data and the analytical power of AI, your association can make informed decisions about its offerings that deeply engage members. Let’s look at how AI can transform these e-learning recommendations to enhance member satisfaction and retention:

• Learning assessments. AI algorithms provide adaptive assessments based on each member’s performance. With tailored follow-up assessments, members can become fully engaged in mastering the course’s skills.
• Certifications. Members’ certification journeys are all different. AI-powered tools track progress and eligibility for relevant certifications, helping members stay on track with their professional development goals.
• Discussion forums. From moderating conversations to recommending relevant discussion threads, AI algorithms facilitate meaningful interactions between your learners.
• Live webinars. Members shouldn’t simply be immersed in an event while it’s happening—AI enhances engagement before, during, and after your live webinars. AI-generated transcripts and highlights make the learning experience more accessible and use webinar interaction data to assess engagement levels.

No matter your association’s learning offerings, AI drives meaningful interactions that leave a lasting impression on your members.

4. Automates Administrative Tasks

Developing course content isn’t the only responsibility on your leadership team’s plate—from event planning to fundraising to growing your membership, there’s a lot going on at all times.

AI eases the administrative burden of developing learning resources by automating the following tasks:

• Content curation and scheduling
• Course registration
• Enrollment reminders
• Attendance tracking
• Participation monitoring
• Certification management
• Member support through chatbots
• Personalized email campaigns

While your association’s leadership should still oversee learning resource development and provide a human touch, AI can relieve some of the menial, behind-the-scenes tasks associated with delivering these experiences. In fact, automating such tasks can free up more of your team’s time to dedicate to connecting with members.

5. Seamlessly Integrates With Other Technologies

While AI is a powerful tool, it’s meant to complement your existing tech stack and processes rather than replace them. After all, your association should have a well-rounded arsenal of software at its disposal to streamline its various areas of focus. However, those tools are useless if they can’t work together to enhance each others’ functionalities.

For instance, an LMS for associations with AI features should streamline course creation, assessments, and other processes specific to the learning experience while smoothly integrating with your association management software (AMS). Through this integration, each system leverages the other’s data and tools to streamline your association’s responsibilities and drive informed decision-making.

AI supports integration by bridging the gap between disparate systems. For instance, DonorSearch explains that AI can be used to assess data from multiple sources, cultivating a holistic view of your information from a unified database. It can also clean and organize your datasets and generate data visualizations to turn scattered information into usable insights.

From tailored communications to web accessibility, your association should keep its members top of mind in everything you do. AI is emerging as a powerful and intuitive tool for learning—it’s time you capitalize on it to provide even better services to your members!