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Related Concept Videos

Long-Term Memory01:18

Long-Term Memory

146
Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
146
Storage01:23

Storage

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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

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Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
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Understanding Memory01:19

Understanding Memory

284
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
284
Explicit Memories01:27

Explicit Memories

129
Explicit memories, also known as declarative memories, are consciously remembered, recalled, and reported. Studying for a chemistry exam involves material that will become part of explicit memory. There are two types of explicit memory: episodic and semantic.
Episodic memory contains information about personally experienced events and is reported as a story. An example of episodic memory is recalling a birthday celebration. This type of memory includes the what, where, and when of an event, as...
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Role of Hippocampus in Memory01:19

Role of Hippocampus in Memory

215
The hippocampus, a critical brain structure, plays an essential role in memory processing, particularly in the formation and retrieval of memory. This small, seahorse-shaped region is located within the medial temporal lobe, with one hippocampus in each brain hemisphere. Experimental studies involving lesions in the hippocampi of rats have demonstrated significant impairments in tasks such as object recognition and maze navigation, indicating the hippocampus involvement in both recognition and...
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The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
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Mapping the Memory Structure of High-Knowledge Students: A Longitudinal Semantic Network Analysis.

Simone A Luchini1, Shuyao Wang1,2, Yoed N Kenett3

  • 1Department of Psychology, Pennsylvania State University, University Park, PA 16802, USA.

Journal of Intelligence
|June 26, 2024
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Summary

Successful learners exhibit more interconnected semantic memory networks, characterized by shorter concept distances. Cognitive network science reveals distinct knowledge organization in high-achieving students.

Keywords:
cognitive network scienceeducational assessmentexpertiseknowledgesemantic memoryundergraduate education

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Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Network Science

Background:

  • Traditional assessments like multiple-choice tests do not capture the organization of student knowledge.
  • Cognitive network science offers quantitative methods to model semantic memory structure and learning.

Purpose of the Study:

  • To investigate the semantic memory network organization in undergraduate psychology students.
  • To compare the semantic memory networks of high-knowledge and low-knowledge students.
  • To explore how semantic memory networks change over a semester.

Main Methods:

  • Administered the Intro Psych Test (cumulative multiple-choice) and verbal fluency tasks (domain-specific and domain-general).
  • Categorized students into high-knowledge and low-knowledge groups based on test performance.
  • Analyzed semantic memory network characteristics (clustering, path distance, connectivity) using cognitive network science.

Main Results:

  • High-knowledge students demonstrated more clustered semantic networks with shorter concept distances than low-knowledge students.
  • These network differences were observed in both psychology-specific and general knowledge domains.
  • Longitudinal data showed increased network interconnectedness in high-knowledge students over the semester.

Conclusions:

  • Learner success is associated with a distinct semantic memory organization: high connectivity and short path distances.
  • Cognitive network science provides valuable tools for understanding individual differences in student learning.
  • Semantic memory structure is a key indicator of learning effectiveness.