SHIFT's eLearning Blog

Our blog provides the best practices, tips, and inspiration for corporate training, instructional design, eLearning and mLearning.

To visit the Spanish blog, click here
    All Posts

    How to Create an Effective Feedback System for eLearning


    Feedback is an essential aspect of any eLearning system. Good feedback is what makes sure that the learning process is maximized both at the present and in future eLearning programs. Whether you're talking about the simplest forms of eLearning or the more sophisticated ones like role-playing, simulation, or playing games, there has to be an effective feedback system in order for the learning process to work.

    Sadly, however, the feedback aspect of eLearning is usually neglected or misunderstood. As such, people don't maximize the potentials of their eLearning courses, resulting in slower development or less retention on the part of the learners. It's important to understand the concept of as well as the specific roles that feedback has on the learning experience.

    But what is a Good Feedback System?

    A good feedback system is mainly educational, encouraging, and emphatic to the learner. Notice that the three criteria are all things that are meant to benefit the learner, which is what every eLearning system should do more than anything.

    1) Feedback Systems must be Educational

    There's a difference between being informative and being educational. When someone is informative, he or she is limited to a delivery of facts. Being educational, on the other hand, encourages the processing of this information for better understanding.

    As far as a feedback system is concerned, feedback should not be limited to merely informing the learner as to the results of the course or his or her performance. Don't just say "you passed or failed" but instead delve into the reasons as to why this is the case.

    In fact, the answer to why a learner passed or failed is much more important than the fact itself. By helping learners figure out what they did right and what they did wrong helps them understand what they need to maintain and what they need to change. Learning from the process of the results will also help them understand the concepts covered by the course better. This is how the learning system becomes educational – learners continue to learn even after the course, through feedback.

    2) Feedback Systems must be Encouraging

    While eLearning systems can't control whether a learner will succeed or fail in a particular course, it can affect the level their motivation or willingness to continue with the program afterward.

    The supportive role of feedback in eLearning focuses primarily on those who failed. Given that not all students or learners are created equal, those who don't do as well as the others can feel insecure with their performance, which can ultimately discourage them from pursuing their course. Of course, this isn't something eLearning systems will want. Hence, feedback systems have to make it a point to reassure students that their failure doesn't mean they are incapable of succeeding in that course if they try again.

    As to how exactly a learner is motivated to go on should be tackled on a case-to-case basis. People are motivated differently, and it's up to those facilitating the eLearning courses to make it a point to address any insecurities resulting from the failure. The point, however, is that your feedback systems must invest in encouraging the learner.

    Note, however, that encouragement is not just for those who fail. Sometimes, those who pass as well as those who excel can get complacent. After all, those who pass a particular course also have areas they need to improve on, and encouraging them to look into these areas can help maximize the results of their learning process. So don't limit encouraging feedback only to those who fail.

    3) Feedback Systems must be Emphatic

    A little appreciation can really go a long way. Just because some eLearning systems are formal and automated, it doesn't mean you can just ignore the human side of the program. Yes, your learners have feelings too, and it would do you good to make them feel that you know that.

    But how do you show your appreciation for their efforts? This simply means to make your feedback system more human. That is, you avoid the technical and rigid structure of messages and go for communication that will make learners feel that they're receiving more than just an electronic message.

    It's like sending a Christmas greeting to a loved one – you think of how you will say the greeting to that they will feel that you truly remembered and appreciated them. You need to make your learners feel that way as well. Fortunately, this isn't difficult to do since we are human too. All you have to do is to put yourself in your learners' shoes.

    The most important part of this aspect of feedback is that it's the appreciation that actually makes education and encouragement more effective. After all, one of the things that promote an open mind as well as the willingness to learn is the fact that a learner knows that he or she is understood and appreciated.

    storyboard


     

    Amy Cowen
    Amy Cowen
    Amy Cowen enjoys her work as an educator and content marketer at Aussiewriter. Also she spends her a lot of time investigating last networking trends, always trying to stay up-to-date with modern eLearning tools and technologies.

    Related Posts

    Want Your eLearning Courses to Deliver Results? Avoid These Mistakes

    Feeling overwhelmed with AI shaking up the eLearning scene? As L&D leaders, you've been nailing it, smoothly running your training programs and adapting as tech evolves. But now, with AI's rapid rise, it's as if the game board has been flipped over. It's a common, yet dangerous assumption to think that just by integrating AI, all of our training challenges are solved. Beware—this overreliance is a trap! Here's the hard truth: AI, while transformative, is not a silver bullet. In the rush to embrace these new tools, many well-intentioned L&D leaders are making critical mistakes that could cripple the effectiveness of their eLearning initiatives. I totally get the frustration—it’s like suddenly, everyone expects you to have all the answers just because you've got the latest tech at your fingertips. But remember, it’s not all about AI. In the rush to integrate this new tech, I’ve seen too many skilled teams slip up in areas that have always been crucial—like course design, content relevance, and learner engagement. Let’s get real about these common pitfalls, ensuring you’re not just relying on AI but are also paying attention to the foundational elements of effective eLearning. This is your heads-up to keep your game tight, making sure your training programs are as powerful as ever, with or without the extra tech boost.

    The New Rules of Instructional Design in an AI-Driven World

    It’s no longer a question of whether artificial intelligence (AI) will change the way we work—it already has, and instructional design is no exception. What was once a futuristic concept is now a daily reality, reshaping how we approach learning and development at every level.

    The Future of Instructional Design in the AI Era

    Instructional design is at a crossroads. The rapid rise of AI is reshaping the field faster than many of us ever imagined, and it’s not just an incremental shift—it’s an industry-wide transformation. Entire workflows are being redefined, roles are evolving, and the expectations placed on L&D teams are skyrocketing.