Learning, Knowledge and Human Development MOOC’s Updates
Learning, Knowledge and Human Development MOOC
Key Concepts of Behaviorism:
1.Stimulus and Response:
Behaviorism focuses on observable behaviors in response to external stimuli. It emphasizes the role of the enviroment in shaping and influencing behavior.
2.Conditioning:
Behaviorists propose that behavior is learned through conditioning. Classical conditioning associates stimuli with responses, while operant conditioning involves reinforcement to strengthen or weaken behaviors.
3.Reinforcement:
Positive and negative reinforcement play a crucial role in behaviorism.Positive reinforcement involves rewarding desired behaviors while negative reinforcement involves removing unpleasant stimuli to encourage a behavior.
Function of Intelligence Tests:
1:Assessment: Intelligence tests are designed to assess congnitive abilities, including problem solving reasonong , memory and comprehension.They provide a standdardized measures of an individuals Intelligence functioning.
2: Prediction: Intelligence tests are often used to predict acedimic success, job performance , and other cognitive abilities . They help identify strengths and weeknesses in various congnitive domains.
3:Resarch : Intelligence test are used in psychological research to study congnitive processes , group differences, and the impact of various factors on intellectual functioning.
Social Mind: Reation and interaction with other people, we need to separate the thinking of each individual by its own experience.
We treat people on how we believe they are not how they really are.
Thinking inside your head can be related to social thinking because our perception depends on actions or what we observe. For example if we know for the first time a person and hi/she is mad in that particular moment we will create an negative image of him/her despite we do not know this person yet but human interactions and actions makes us believe this.
Objectivity in human interactions doesn't exist in an specific form or way.
Collective intelligence is when various people think in a way to solve a problem and every way of thinking makes a compensation that makes them get closer to the correct answer, in this way collaborative learning can make find the answer faster, better and more accurate.
For example: If we introduce a math problem to students each of them will have a different point of view in how to answer the problem and maybe some will give a lower number from the correct answer and others above the correct answer, however if we collect all the answers the average number will be the closest one to the answer.