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Proposal for Monitoring Students' Self-Efficacy Using Neurophysiological Measures and Self-Report Scales.

Maria Gerostathi1, Spyridon Doukakis2

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This study explores how science, technology, engineering, and mathematics (STEM) education impacts student self-efficacy. It proposes combining self-report scales with neurophysiological measures for a comprehensive understanding of learning.

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Neurophysiological measuresSTEM educationSelf-efficacy

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Area of Science:

  • Educational Psychology
  • Neuroscience
  • STEM Education

Background:

  • STEM education is crucial for 21st-century skills and economic growth.
  • Self-efficacy significantly influences student learning outcomes.
  • Traditional self-report measures for self-efficacy have limitations.

Purpose of the Study:

  • To investigate the impact of STEM education on student self-efficacy.
  • To address limitations of current self-efficacy measurement methods.
  • To explore novel approaches for assessing self-efficacy in educational contexts.

Main Methods:

  • Utilizing self-report scales to gauge students' self-efficacy.
  • Incorporating neurophysiological measures to capture objective learning indicators.
  • Analyzing combined data from both self-report and neurophysiological assessments.

Main Results:

  • Preliminary findings suggest a nuanced relationship between STEM engagement and self-efficacy.
  • Neurophysiological data may offer deeper insights beyond self-perceptions.
  • The combined methodology provides a more robust assessment of self-efficacy.

Conclusions:

  • A dual approach using self-report and neurophysiological measures is recommended for evaluating self-efficacy in STEM education.
  • This integrated method enhances the understanding of how educational interventions affect student confidence and learning.
  • Future research should further validate this combined methodology across diverse STEM fields.