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Related Concept Videos

Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Introduction to Learning01:18

Introduction to Learning

Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
Associative Learning01:27

Associative Learning

Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...

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Related Experiment Videos

The Hidden Preceptor: How AI Is Already Teaching Our Learners.

Samita M Heslin1

  • 1Department of Emergency Medicine & Biomedical Informatics, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.

Journal of Medical Education and Curricular Development
|May 15, 2026
PubMed
Summary
This summary is machine-generated.

Artificial Intelligence (AI) acts as a hidden preceptor for medical learners, potentially hindering clinical reasoning development. Educators must integrate AI

Keywords:
artificial intelligenceclinical reasoninghidden curriculummedical educationprofessional identity formation

Related Experiment Videos

Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Clinical Reasoning

Background:

  • Artificial Intelligence (AI) is increasingly utilized by medical learners for study and clinical decision-making.
  • The educational implications of AI integration in medical training require further examination.
  • AI's influence on clinical reasoning, uncertainty management, and professional identity is a critical area.

Purpose of the Study:

  • To introduce the concept of AI as a "hidden preceptor" in medical education.
  • To analyze how AI's characteristics may impact desired educational outcomes.
  • To propose strategies for educators to leverage AI effectively in clinical training.

Main Methods:

  • Conceptual commentary drawing on hidden curriculum theory and clinical reasoning frameworks.
  • Analysis of AI's typical attributes (speed, certainty, pattern recognition) in the context of medical learning.
  • Development of pedagogical strategies for AI integration in medical education.

Main Results:

  • AI's speed, certainty, and pattern recognition can be counterproductive to developing deliberate thinking, mechanical understanding, and reflective practice.
  • AI's influence on medical learners' approach to clinical reasoning and uncertainty needs explicit educational consideration.
  • The "hidden preceptor" role of AI can shape professional identity in unintended ways.

Conclusions:

  • Educators should make AI's pedagogical role explicit to guide learners' development.
  • Strategies are needed to help medical learners engage with AI constructively, fostering clinical growth.
  • Proactive educational integration of AI is essential to maximize its benefits and mitigate potential drawbacks in medical training.