Behaviorism Overview
Overview
Edward Thorndike proposed the law of effect theory in 1905, introducing the idea of reinforcement. According to Thorndike, the likelihood of a stimulus repeatedly eliciting a specific learned response is influenced by the perceived consequences of that response (Rafferty, 2023). Later, Thorndike expanded on this concept, delving deeper into instrumental learning (Thorndike, 1935).
John B. Watson was an American psychologist who is often considered the father of behaviorism. He was most active in the field of psychology from the early 1900s until the late 1920s. Watson emphasized the study of observable behavior rather than introspection or analysis of mental processes. He believed that psychology should be objective science focused on predicting and controlling behavior. (Hothersall, 2004). Watson's most influential work was his research on classical conditioning, which he conducted from around 1908 to 1920. His famous "Little Albert" experiment (1920) demonstrated that emotional responses, such as fear, could be conditioned in humans.
2024 | Photo by Kenny Eliason | Unsplash
This work laid the foundation for behaviorism, which dominated psychology for several decades (Watson & Rayner, 1920).
In his groundbreaking work "Conditioned Reflexes," published in 1927, Ivan Pavlov introduced the concept of classical conditioning, which involves learning involuntary responses through instinctive reactions (Pavlov, 1960).
Building upon this foundation, B.F. Skinner developed the theory of operant conditioning in 1938, focusing on the relationship between behavior and its consequences, such as reinforcement or punishment (Cherry, 2024). Skinner's approach differs from Pavlov's classical conditioning, emphasizing learning to perform an action to obtain a reward or avoid an undesirable outcome.
In the 1960s, American educational psychologist Robert Gagne made significant contributions to the field with his "Nine Events of Instruction" model. Gagne first introduced this model in his 1965 book "The Conditions of Learning" and continued to refine it through subsequent editions and his other works spanning the 1970s and 1990s (Mcleod, 2024). Gagne's model provides a structured approach to designing effective learning experiences, taking into account various aspects of the learning process.
The Implications of Behaviorism to Learning and Instructional Design
The work of Edward Thorndike, Ivan Pavlov, and B.F. Skinner has had a profound impact on the field of instructional design and learning, with their theories and principles continuing to shape educational practices today.
Thorndike's law of effect, which states that behaviors followed by satisfying consequences are more likely to be repeated (Thorndike, 1905), laid the groundwork for the concept of reinforcement in learning. This idea is still widely applied in instructional design, with educators using positive reinforcement to encourage desired behaviors and promote learning (Rafferty, 2023).
Pavlov's classical conditioning theory, which involves learning involuntary responses through instinctive reactions (Pavlov, 1927), has implications for creating positive learning environments and associations. By pairing learning experiences with positive stimuli, educators can help learners develop favorable attitudes toward the subject matter and the learning process itself.
B.F. Skinner's operant conditioning theory, which focuses on the relationship between behavior and its consequences (Skinner, 1938), has significantly impacted instructional design and learning. Skinner's emphasis on reinforcement schedules, shaping, and immediate feedback has influenced the development of programmed instruction, mastery learning, and computer-assisted instruction (Mcleod, 2024).
In contemporary educational settings, Skinner's principles are evident in using formative assessments, adaptive learning technologies, and gamification elements that provide learners immediate feedback and reinforcement (Shute & Rahimi, 2021). By breaking down complex skills into smaller, manageable components and providing opportunities for practice and reinforcement, educators can apply Skinner's ideas to create effective and engaging learning experiences.
However, it is important to recognize the limitations of applying these theories uniformly across all learners. The law of individuality suggests that learners have unique needs, preferences, and learning styles that may require adaptations to instructional design (Champion, 1960). Educators must balance applying these foundational principles and accommodating individual differences to create inclusive and effective learning environments.
Thorndike, Pavlov, and Skinner's work has laid the foundation for many instructional design practices used today, particularly in reinforcement, feedback, and the sequencing of learning experiences. Educators can create engaging and effective learning experiences that promote student success by understanding and applying these principles while considering individual learner needs.
Strengths and Limitations of Behaviorism to Adult Learning Environments
As an educator, I believe that behaviorism offers valuable insights that can be applied to adult learning environments. However, it is important to recognize its limitations and consider alternative perspectives when designing and facilitating adult learning experiences.
One of the key strengths of behaviorism is its emphasis on setting clear learning objectives and measuring observable outcomes (Skinner, 1938; Watson, 1913). Providing adult learners with a clear understanding of what is expected and offering timely feedback helps keep them motivated and focused on their learning goals. This is particularly important in professional training or certification programs where demonstrating mastery of specific skills or knowledge is crucial.
However, I also recognize that behaviorism may only partially account for the complex cognitive processes and intrinsic motivations that drive adult learning (Merriam & Caffarella, 1999; Knowles, 1984). Adults bring a wealth of prior knowledge and experiences to learning situations, and their personal goals and aspirations often play a significant role in their engagement with learning activities. As such, it is essential to consider these factors and incorporate strategies that foster intrinsic motivation and build upon learners' existing knowledge and experiences.
Furthermore, I have found that the social context of adult learning is crucial, and strict adherence to behaviorist principles may not adequately address this aspect (Bandura, 1977). Adult learners often benefit from collaboration, discussion, and learning from their peers, which can be facilitated through group work, peer feedback, and the creation of supportive learning communities.
While behaviorism provides a valuable framework for certain aspects of adult learning, a more comprehensive approach that draws from multiple learning theories is necessary to effectively meet the diverse needs of adult learners (Jonassen, 1991). By considering the unique characteristics of adult learners, their prior experiences, and the learning context, educators can create more engaging, relevant, and effective learning experiences.
Behaviorism has a place in adult learning environments, but it should be used with other learning theories and approaches to create a well-rounded and effective learning experience. By setting clear objectives, providing feedback, and leveraging behaviorism's strengths while also addressing its limitations, educators can better support the learning and growth of adult learners.
A Learning Scenario Where Behaviorism is the Primary Learning Theory
As an instructional designer, I would create an online learning experience focused on teaching customer service representatives (CSRs) how to handle complex customer interactions using behaviorism as the primary learning theory.
Scenario
The online learning experience will present learners with a series of simulated customer interactions through video clips or interactive animations. Each scenario will depict a challenging customer interaction, such as an angry customer complaining about a product or service.
2024 | Photo by Blake Wisz | Unsplash
Stimulus and Response: In this learning scenario, the stimulus is the simulated customer interaction presented to the learner. The desired response is for the learner to demonstrate appropriate communication skills, empathy, and problem-solving techniques when dealing with a difficult customer.
Observable Behavior: To assess learning, the module will require learners to select the most appropriate response or action from a list of options at key points during the simulated interaction. The correct responses will demonstrate the following observable behaviors:
- Active listening: Learners will choose responses that indicate they listen attentively to the customer's concerns, such as paraphrasing the issue or asking clarifying questions.
- Empathy: Learners will select responses that show empathy and understanding of the customer's feelings, such as acknowledging their frustration or apologizing for any inconvenience.
- Problem-solving: Learners will choose actions that focus on finding a solution to the customer's problem, such as offering a refund, replacement, or alternative product or service.
Reinforcement
Positive reinforcement
Immediate feedback: After each correct response, learners will receive immediate positive feedback, such as a green checkmark or a brief message praising their appropriate action (e.g., "Great job showing empathy!").
Points or badges: Learners will earn points or badges for consistently selecting the correct responses throughout the simulated interactions.
Negative reinforcement
Corrective feedback: If learners select an incorrect response, they will receive corrective feedback explaining why their choice was inappropriate and guiding them toward the correct action.
Prompts or hints: If a learner struggles to select the correct response, the module will provide prompts or hints to help them identify the appropriate action, reducing the likelihood of future incorrect responses.
As learners progress through simulated interactions and consistently demonstrate the desired observable behaviors, they will move on to more complex scenarios. Upon completing the learning experience, learners will have demonstrated mastery of effective communication, empathy, and problem-solving skills in handling difficult customer interactions.
Honorable mentions of other notable behaviorists who have made significant contributions to the field, particularly in relation to learning:
Clark L. Hull's Behaviorism - ScienceDirect,
Kenneth Wartinbee Spence | Behaviorism, Cognitive Theory, Motivation | Britannica
Albert Bandura's Social Learning Theory In Psychology (simplypsychology.org)
Neal Elgar Miller: 1961 APA President
Learning Theory of Attachment | Dollard & Miller (simplypsychology.org)
References:
Bandura, A. (1977). Social learning theory. Prentice Hall.
Champion, R. A. (1960). Reinforcement and learning theory. Australian Journal of Psychology, 12, 10–20. https://doi.org/10.1080/00049536008255183
Cherry, K. (2024). Operant vs classical conditioning. Verywell Mind. Classical Conditioning vs. Operant Conditioning (verywellmind.com)
Hothersall, D. (2004). History of Psychology (4th ed.). New York: McGraw-Hill.
Jonassen, D. H. (1991). Objectivism versus constructivism: Do we need a new philosophical paradigm? Educational Technology Research and Development, 39(3), 5-14.
Knowles, M. S. (1984). Andragogy in action. Jossey-Bass.
Mcleod, S. (2024). Gagne's nine levels of learning: A complete guide. Simply Psychology. https://www.simplypsychology.org/Gagne-9-levels-of-learning.html
Merriam, S. B., & Caffarella, R. S. (1999). Learning in adulthood: A comprehensive guide (2nd ed.). Jossey-Bass.
Pavlov, I. P. (1927). Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex. Oxford University Press.
Rafferty, J. P. (2023). Law of effect. Encyclopedia Britannica. https://www.britannica.com/science/law-of-effect
Shute, V. J., & Rahimi, S. (2021). Stealth assessment and learning analytics. In U. Hoppe, B. Shapiro, & C. D. Kloos (Eds.), Learning analytics (pp. 79-92). Springer.
Skinner, B. F. (1938). The behavior of organisms: An experimental analysis. Appleton-Century.
Thorndike, E. L. (1905). The elements of psychology. A. G. Seiler.
Thorndike, E.L. (1935). The psychology of wants, interests and attitudes. APA PsycNet, Abstract.
Watson, J. B., & Rayner, R. (1920). Conditioned emotional reactions. Journal of Experimental Psychology, 3(1), 1–14. https://doi.org/10.1037/h0069608
Watson, J. B. (1913). Psychology as the behaviorist views it. Psychological Review, 20(2), 158-177.