What does neuroscience say about learner engagement?
Engagement is primarily a neurological process. It is deeply rooted in the activation of various brain regions that work together to maintain focus, regulate emotions, and form permanent memories. It is also a requirement for successful skill advancement among employees. So, if you want to reach high-level learner engagement and enjoy returns in virtual training, turn to science. What should you consider before designing your next L&D program? From psychological principles to the consequences of increased motivation and cognitive load for your audience, here’s what you need to know about the neuroscience of learner engagement.
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Under the lens of neuroscience: psychological principles behind learner engagement
Feelings
Emotions are central to the learning process. Whether positive or negative, the emotional quality of the learning experience can boost or reduce engagement. Positive associations with the learning process brighten up the brain’s innate reward system, while negative mental and emotional connections such as stress raise alarms in the brain’s threat circuits. Addressing potential stressors and ensuring learners establish positive and constructive connections with the material can help to promote engagement and participation in the long run.
Note
Attention is directly linked to learners’ emotional states and affects their involvement. If something stands out as new, meaningful, or relevant, then there is a much more chance of capturing and maintaining our focus. Increased attention during training activates neurogenesis, creating and strengthening neural pathways associated with encountering new stimuli and learning new things. This process strengthens the brain’s memory system, incorporating information integration and searching and, most importantly, increasing applications. Without attention, there will be no engagement or positive learning outcomes.
A novelty and fresh experience
Every time we learn something new, our brain rewires itself by forming new neural connections. This allows for knowledge acquisition and long-term memory search. This ability is reinforced by brain plasticity, highlighting the importance of an original, fresh, and challenging learning experience. Through adaptive design, the brain shows that it is constructed to not only house it, but actively seek opportunities for continuous learning. Therefore, use training to provide your brain with what you want. Encourage learners to explore and experiment. It may be what they need to boost their engagement.
Relevance
Learners provide content that can be relevant to strengthen their brain mnemonic capabilities without relying on memorization. When we can feel connected to the subject and understand how it fits into our lives, learning becomes an active and participatory process where we can better retain, integrate and enjoy the benefits of the acquired information. To make virtual training relevant, show learners how they can be applied to their situation and how it will lead to their experience, location and goals. Once learners see themselves in content and understand how to use it to gain real value, they are much more likely to come back for more.
Social connection
Social connections make learning more engaging and effective. According to neuroscience, watching peers perform tasks activate mirror neurons, encouraging empathy, modeling and engagement. Furthermore, social interactions allow us to draw, reinterpret and create shared meanings of living experiences and prior knowledge. This proves essential to heighten efforts and commitment, create internal knowledge sharing networks, and to serve as the basis for organizational culture. These facets can be invaluable for L&D leaders who want to be heavily influenced and begin training on the social aspects of learning.
Which factors influence learners’ motivation?
Neuroscience considers learner engagement and motivational tools for deep, lasting learning. Let’s look at the inherent exogenous factors that drive learners forward.
Intrinsic motivation
The essential motivation is said to be more sustainable than external rewards, as it is driven by curiosity, autonomy and a deep desire for improvement. For example, neuroscience suggests that autonomy activates the brain’s reward centers. This is an important response to shaping long-term habits and ensuring practical and mental effort in the learning process. Similarly, stimulating curiosity invites learners to take on and repeat the desired behavior. Furthermore, inherently motivated learners understand how training leads to personal and professional goals. Therefore, they consider the learning experience to be more valuable, rather than abstract or essential that encourages cognitive and emotional investment.
Exogenous driver
Neuroscience says that while it is not as durable as intrinsic motivation, external motivations like rewards can really enhance learner engagement. Let’s model perception. This is considered a form of exogenous reward for progress during skill acquisition. Recognition activates multiple brain regions and stimulates the release of dopamine, a pleasure-related neurotransmitter. Because people are generally bound by repeating mood-enhancing behaviors, this chemical response makes learners much more likely to invest their efforts in training to continue to earn rewards. Of course, exogenous drivers are meaningful and do not replace essential motivation. The combination of both elements forms a balanced reward system that promotes engagement and fosters improvement-oriented thinking.
The effect of cognitive load on virtual learning
Cognitive load refers to the amount of information the brain can process at a particular time. Unfortunately, the amount is limited. Trying to move past that can lead to burnout or departure. Specifically, cognitive load:
It prevents knowledge retention. Increased cognitive load reduces working memory capacity and leads to shallow processing of materials, making excessive learners less likely to retain information. It affects real-world applications. Cognitive overload can lead to memorization of inability to grasp the nuances necessary for aggressive problem solving in real life. It also reduces the likelihood that theory will be applied to actions. Motivates learners. Learners may feel incompetent when they struggle to process excess or complex information. It leads to fatigue and stress. A cognitively dense virtual learning environment can create additional stress for corporate learners. Mental fatigue and burnout can lead to withdrawals, absenteeism, dropouts, and even lower performance on daily tasks. Wasting resources and ROI. The time spent creating learning content that overloads learners is a waste of time. Apart from cognitively eliminating viewers, this ultimately leads to negative ROI, stakeholder buy-in, and reduced participation in future learning initiatives.
Conclusion
Ensuring that your training program is attractive to your audience is a major initiative. Even veteran experts can have a hard time figuring out it. So, what can you do? Try science. Neuroscientific insights prove that they can help employees understand how to change their learning experiences and ensure engagement in the long run.
Use the latest technology to implement tested strategies and to overcome engagement obstacles in L&D programs, downloading to address today’s virtual training learner engagement gaps.
You can also check out the Adobe Connect webinar “Can you hear me?” It’s not a learning strategy that reveals why traditional video tools don’t cut it for training and what to use instead.
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