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Machines: Problem Solving I01:22

Machines: Problem Solving I

A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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Train-to-Code: an adaptive expert system for training systematic observation and coding skills.

Jessica M Ray1, Roger D Ray

  • 1University of Central Florida, Orlando, Florida, USA.

Behavior Research Methods
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PubMed
Summary
This summary is machine-generated.

Training behavioral observers is crucial for research and interventions. A new adaptive computerized system, Train-to-Code, improves observer accuracy and stability using customized video training and feedback.

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Area of Science:

  • Behavioral science
  • Educational technology
  • Psychology

Background:

  • Accurate and stable behavioral observation is essential for research and intervention services.
  • Current training methods often face challenges in achieving high interindividual accuracy and intraindividual stability.

Purpose of the Study:

  • To present the design and evaluation of an adaptive computerized expert system for training behavioral observers.
  • To assess the system's effectiveness in enhancing coding accuracy and stability.

Main Methods:

  • Development of Train-to-Code, an adaptive computerized expert system.
  • Utilizing user-imported video files and customized coding schemes to generate expert reference data.
  • Implementing an operant response-shaping instructional design model with progressive prompting and feedback.

Main Results:

  • Three formative evaluations demonstrated the system's ability to shape observation and recording skills.
  • The system successfully maximized individual coding accuracy and stability.
  • Training led to stable, expert-equivalent interobserver accuracy without ongoing prompting or feedback.

Conclusions:

  • The adaptive computerized expert system, Train-to-Code, is effective in training behavioral observers.
  • This system offers a promising solution for improving the quality of behavioral data in research and practice.
  • Automated, customized training can achieve high standards of observational accuracy and stability.