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Embedded interruptions and task complexity influence schema-related cognitive load progression in an abstract

Maria Wirzberger1, Shirin Esmaeili Bijarsari1, Günter Daniel Rey1

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Cognitive load during learning changes nonlinearly over time, with task complexity and interruptions affecting learning efficiency and cognitive mechanisms. This study models cognitive load progression during schema acquisition.

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Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Human Information Processing

Background:

  • Schema acquisition is crucial for learning and involves significant cognitive load.
  • Cognitive load is not static and is hypothesized to change dynamically over time.
  • Understanding temporal models of cognitive load progression is essential for optimizing learning environments.

Purpose of the Study:

  • To investigate plausible temporal models of cognitive load progression during a symbol sequence learning task.
  • To examine how task complexity and interruptions influence learning efficiency and cognitive resource investment.
  • To explore the relationship between cognitive load dynamics and underlying cognitive mechanisms.

Main Methods:

  • A basal symbol sequence learning task was administered to 116 student participants.
  • A 2x5 factorial mixed between-within design manipulated task complexity (two levels) and interruption stages (five levels).
  • Continuous monitoring of learning performance efficiency was used to infer cognitive load progression and resource allocation.

Main Results:

  • Learning efficiency exhibited a nonlinear change over time, suggesting a dynamic cognitive load progression.
  • Task complexity and interruptions differentially affected learning efficiency, indicating the engagement of distinct cognitive mechanisms.
  • Interruption effects varied across complexity levels, highlighting the role of structural task aspects.

Conclusions:

  • A nonlinear model best describes cognitive load progression during schema acquisition in this learning task.
  • Cognitive mechanisms activated by task interruptions are modulated by task complexity.
  • Findings contribute to understanding memory and information processing in dynamic learning contexts.