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Dissociations between data-driven and goal-driven effort reports: Performance, metacognition, and affect.

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Summary
This summary is machine-generated.

Understanding subjective effort is key. Data-driven effort (perceived task demands) and goal-driven effort (chosen investment) uniquely influence learning performance and metacognition.

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Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Metacognition Research

Background:

  • Subjective effort measurement is challenging, especially for perceived vs. chosen investment.
  • Koriat et al. distinguished data-driven effort (task demands) from goal-driven effort (chosen investment).

Purpose of the Study:

  • To investigate differential associations of data- and goal-driven effort with performance, metacognition, and affect.
  • To explore how framing of subjective effort impacts its relationship with learning outcomes.

Main Methods:

  • Participants completed a complex learning task.
  • Self-reports of data-driven and goal-driven effort were collected.
  • Associations with test performance, metacognitive estimates, and affect were analyzed.

Main Results:

  • Data-driven effort negatively correlated with prospective and retrospective performance estimates.
  • Goal-driven effort showed the opposite pattern, positively relating to performance estimates.
  • Qualitatively different relationships were observed between effort frames and other variables.

Conclusions:

  • The framing and interpretation of subjective effort measures significantly impact their relationship with learning outcomes.
  • Distinguishing between perceived and chosen effort is crucial for accurate assessment.
  • Understanding these nuances can refine educational and psychological interventions.