Observing Is Learning


Chapter 5: Learning

Learning Outcomes

  • Describe the differences between observational and individual learning in children and young adults
  • Identify key brain regions involved in prediction error processing during reinforcement learning
  • Apply basic principles of reinforcement learning to explain developmental changes in decision-making behavior

Key Terms

latent learning
learning that occurs, but it may not be evident until there is a reason to demonstrate it
model
person who performs a behavior that serves as an example (in observational learning)
observational learning
type of learning that occurs by watching others
reinforcement
implementation of a consequence in order to increase a behavior
vicarious reinforcement
process where the observer sees the model rewarded, making the observer more likely to imitate the model's behavior

Experiential Learning

Zuri, a 9-year-old, and Malik, a 19-year-old, were invited to participate in a learning experiment. Each met a peer of the same age and gender before entering a room with a computer screen. They were told they could earn points by choosing between two shapes, with one more likely to give rewards than the other. This setup is based on reinforcement, where consequences like earning points are used to increase certain behaviors.

An image of a hand holding a gold star

Sometimes, Zuri and Malik had to make choices on their own. Other times, they got to watch their peer choose first and see the outcome before making their own decision. In these moments, the peer acted as a model, someone whose behavior serves as an example for others to learn from. This setup allowed researchers to compare how well people learn from their own experiences versus learning by watching others.

1. On Your Own

What type of learning occurs when Zuri watches her peer make a choice and sees the outcome? Select the best answer.

Learning Alone vs. Together

As the experiment progressed, researchers noticed something interesting. Zuri and Malik both performed better when they could watch their peer first. But Malik improved more steadily over time, especially when learning from his own choices. Zuri, on the other hand, showed strong performance early on when watching others but didn't improve as much when learning alone.

During one of the trials, Zuri confidently chose a shape she believed would earn her points. She had watched her peer select it earlier and receive a reward. But this time, when Zuri made the same choice, she lost points instead. This is an example of vicarious reinforcement, where seeing someone else get rewarded makes the observer more likely to repeat the behavior.

This moment triggered what psychologists call a negative prediction error: The outcome was worse than Zuri expected. Her brain had predicted a reward, but the result contradicted that expectation. In the study, such errors were shown to activate specific brain regions, especially the dorsal medial prefrontal cortex (dmPFC), which helps us adjust our behavior based on unexpected outcomes.

For Zuri, this miscalculation became a powerful learning moment. Although she was younger and her brain didn't respond as strongly as Malik's, the experience still helped her recalibrate her expectations. She began to realize that just because something worked for someone else didn't guarantee it would work for her. This subtle shift in understanding is part of what makes observational learning so complex and valuable.

A picture of two children playing with an abacus together

Explore the Concept

This short clip introduces key ideas related to observational learning, offering real-world examples that connect theory to everyday behavior.

2. On Your Own

Determine whether the following statement is true or false.

A prediction error occurs when the actual outcome matches the expected outcome.

The Role of the dmPFC

Using brain scans, scientists found that Malik's brain showed stronger activity in areas like the dmPFC when he saw others fail. Zuri's brain also responded but not as strongly. This brain region helps us think about others and learn from their mistakes. It's known for its role in:

  • social cognition: understanding others' thoughts, intentions, and emotions
  • mentalizing: imagining what someone else is thinking or feeling
  • processing prediction errors: especially when outcomes for others are worse than expected

In the study, when Malik watched his peer make a mistake (e.g., choosing the wrong shape and losing points), his dmPFC lit up more than Zuri's. This suggests that Malik was better at using that information to adjust his own behavior. His brain was more finely tuned to learn from others' failures, a skill that becomes more efficient with age and cognitive development.

A crumpled piece of paper is in focus, with a person still writing in the background

3. On Your Own

Which brain region was most associated with learning from others' mistakes in this study? Select the best answer.

Observational Learning and Age

The researchers concluded that while both children and adults benefit from observational learning, adults are more efficient at using this information. They also found that children's choices were more random, possibly because they were still exploring and figuring things out. Some of this behavior may reflect latent learning, where knowledge is gained but not immediately shown until there's a reason to use it.

This study helps us understand how learning changes as we grow and why watching others can be just as important as doing things ourselves. In psychology, understanding how we learn from others can help teachers, parents, and even game designers create better learning environments. Whether you're Zuri or Malik, learning by observing is a powerful tool, and your brain is working hard behind the scenes to make sense of it all.

Reflect & Respond

Answer the following questions to reflect on key ideas from the case study. Remember to print your work before leaving this page!

  1. How might Zuri's age influence the way she learns from observing others compared to Malik?
  2. Why do you think both children and adults performed better when they could observe someone else first?
  3. What are some real-life situations where observational learning plays a key role in behavior development?
  4. How could understanding prediction errors help educators improve classroom learning strategies?
  5. Do you think children's more exploratory behavior is a disadvantage or a strength in learning environments? Why?

References

Helpful Professor Explains! (2024, May 18). Observational learning (explained in 3 minutes) [Video]. YouTube. https://youtu.be/20GJaTaBmbM?si=KklLv3DhrXoQ6RnF

Rodriguez Buritica, J. M., Eppinger, B., Heekeren, H. R., Crone, E. A., & van Duijvenvoorde, A. C. K. (2024). Observational reinforcement learning in children and young adults. NPJ Science of Learning, 9(1), Article 18. https://doi.org/10.1038/s41539-024-00227-9
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0).

Photo Credits

blankstock on Adobe Stock. "Bonus points. Loyalty program line icon. Discount star symbol. Colorful outline concept. Blue and orange thin line loyalty program icon. Vector."

ShunTerra on Adobe Stock. "children of different races sit together at the table and count on the abacus."

Ivan Kruk on Adobe Stock. "Paper ball during writing."