Evaluation data is a powerful tool that can drive improvements in your educational programs, but are you making the most of it? With the right strategies, you can easily turn this data into actionable insights. The first step is transitioning to electronic evaluation input. Having learners provide feedback through an online system streamlines the process, making it quicker, more organized, and easier to analyze.

Leveraging AI for data analysis is the next step. Artificial intelligence can quickly sift through large amounts of data, identifying trends and insights that would take much longer to uncover manually. Having conversations with AI helps you pinpoint specific areas of strength and opportunities for growth, ensuring your continuing education offerings remain relevant and effective. Open source AI or AI assistants built into applications such as the Microsoft Suite or Adobe can all help your team sort and prioritize evaluation data to make the most of your learner feedback.

Accessibility and learner demographics are important to remember as well, not every learning group is comfortable with or can use technologies like QR codes or mobile-based evaluations. That’s why it’s important to provide tech support for those learners. Accessibility options could include offering tablet stations with designated workers, guidance on how to use personal devices, or providing alternative methods for feedback. These options ensure that every learner can participate in the evaluation process, which is key to collecting comprehensive, useful data.

LCI can help your team standardize and automate your evaluation and certificate processes, allowing your team to spend their time on review and innovation, not administration.