Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What is Variation?01:14

What is Variation?

19.2K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
19.2K
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

2.7K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
2.7K
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation01:20

Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation

2.7K
Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
2.7K
Steps in the Modeling Process01:14

Steps in the Modeling Process

803
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
803
Observational Learning01:12

Observational Learning

1.2K
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...
1.2K
Cognitive Learning01:21

Cognitive Learning

1.5K
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...
1.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Able and willing: Infants selectively seek help from competent and benevolent others.

Developmental psychology·2024
Same author

Trusting information from friends: Adults expect it but preschoolers do not.

Developmental psychology·2024
Same author

Mind-mindedness in a high-risk sample: Differential benefits for developmental outcomes based on child maltreatment.

Developmental psychology·2023
Same author

Creating a sustainable action-oriented engagement infrastructure-a UMN-MIDB perspective.

Frontiers in integrative neuroscience·2023
Same author

Fourteen-month-olds selectively search for and use information depending on the familiarity of the informant in both laboratory and home contexts.

Journal of experimental child psychology·2018
Same author

The selective social learner as an agent of cultural group selection.

The Behavioral and brain sciences·2016

Related Experiment Video

Updated: Mar 26, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.9K

Variations in teaching bring variations in learning.

Melissa Koenig1

  • 1Institute of Child Development,University of Minnesota,Minneapolis,MN 55455.mkoenig@umn.eduhttp://www.cehd.umn.edu/icd/people/faculty/cpsy/koenig.html.

The Behavioral and Brain Sciences
|January 21, 2016
PubMed
Summary

Understanding teaching requires examining how different models teach and how learners select them. This research explores how teaching and learning taxonomies align across species and cultures.

More Related Videos

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.6K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.2K

Related Experiment Videos

Last Updated: Mar 26, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.9K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.6K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.2K

Area of Science:

  • Comparative cognition
  • Animal behavior
  • Evolutionary psychology

Background:

  • Kline's unified account of teaching offers a framework for understanding teaching across diverse contexts.
  • Existing frameworks may not fully integrate teaching in nonhuman animals and diverse human populations.

Purpose of the Study:

  • To explore the integration of Kline's teaching taxonomy with learning taxonomies.
  • To investigate how different teaching models are selected and how learning varies across models in humans and nonhuman animals.

Main Methods:

  • Comparative analysis of teaching and learning strategies.
  • Examination of model selection processes in different populations.
  • Cross-species and cross-cultural data synthesis.

Main Results:

  • A unified teaching account must incorporate nonhuman animal and diverse human teaching data.
  • Understanding learner model selection is crucial for a comprehensive teaching theory.
  • Differential learning outcomes based on model selection require further investigation.

Conclusions:

  • Integrating teaching and learning taxonomies is essential for a universal theory of teaching.
  • Future research should focus on the mechanisms of model selection and differential learning outcomes.
  • A comprehensive understanding of teaching necessitates a comparative approach across species and cultures.