Chapter 9- Knowledge Flashcards
(39 cards)
People’s knowledge undergoes revision over time
Conceptual change
This type of knowledge concerns how things are, were or will be. You can intepret the things around you, recognize people or places, and recall past events
Declarative knowledge
2 parts: episodic & Semantic
Difference b/w episodic and semantic memory
Episodic- memory of person life experiences; Ex.- when we ordered the specific items with friends a year previous
Semantic- general knowledge that indepenendent of specific experiences (likes or dislikes), may not specificially remember why; Ex.: recall menu items but may not remember eating them
This involves knowing how to do a specific task
procedural knowledge
How we respond under different situations
conditional knowledge
The ability to combine everything; combining declaritive and procedural knowledge
Conceptual knowledge
What is the difference b/w explicit and implicit knowledge
Explicit- things we can easily recall and explain
IMplict- we can’t consciously recall or explain but it affects our behavior; the person has know idea that they learned it for example
What are ways that knowledge is encoded?
Physical characteristics
Physical Actions
Symbolic
Abstract meanings
What is described as an IF-THEN rule?
production
What information is stored in forms of actual words?
Verbal codes
What is a form of organization that includes small units of knowledge concerning relationships among objects or events
- can be true or false
- can stand as a separate statement or assertion
propositions
What are the components of an proposition and give example.
Arguments
Relation
Ex.- Mary has an uncle.
Mary & Uncle are arguments
Has - one relation
Various pieces of information are either directly or indirectly associated with one another
Associationistic
This model of memory consists of many pieces of information interconnected through a variety of associations.
Network Model
A popular network model in which propositions and their interrelationships are stored in a networklike fashion.
Ex.- Mary’s uncle, whom she adores, owns a red Ferrari.
4 assertions:
1. Mary has an uncle.
2. Mary adores the uncle.
3. The uncles owns a Ferrari.
4. The Ferrari is red.
There are 3 arguments: Mary, uncle, Ferrari
Propositional network
Example of Propositional NEtwork
1. Mary has an uncle. Has-Relation; Mary-agent; Uncle-object 2. Mary adores the uncle. adores-relation; Mary-agent; Uncle object. 3. The uncles owns a ferrari. owns-relation; Uncle-agent; Ferrari-object 4. The ferrari is red. red; relation; subject-ferarri
a particular example of a concept
positive instance
a nonexample of a concept
negative instance
an inability to recognize all positive istances
undergeneralization
an inabiliyt to reject all negative instances
overgeneralization
Characteristics that must be present in all positive instances
defining features
a typical example of the concept
prototype
What princples capture important factors affecting concept learning and yield strategies for helping learners of all ages acquire new concepts?
- Concepts are easier to learn when defining feature are salient than correlational and irrelevant features.
- Definitions faciliate concept learning.
- Numerous and varied positive instances help to illustrate a concept.
- Negative instances are useful in demonstrating what a concept is not.
- Positive and negative instances are more effective when presented simultaneously.
- Classroom assessment tasks can enhance as well as monitor concept learning.
A closely connected set of ideas (including concepts) related to a specific object or event
schema