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An Open-Source, Fully Customizable 5-Choice Serial Reaction Time Task Toolbox for Automated Behavioral Training of Rodents
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A Methodology for Training Toolkits Implementation in Smart Labs.

Majid Zamiri1, Joao Sarraipa1, José Ferreira1

  • 1School of Science and Technology and Center of Technology and Systems (CTS-Uninova), NOVA University of Lisbon, 2829-516 Caparica, Portugal.

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|March 11, 2023
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Summary
This summary is machine-generated.

This study introduces a methodology for implementing personalized training Toolkits in Smart Labs. This approach empowers educators and enhances student skills in areas like the Internet of Things (IoT) and Artificial Intelligence (AI).

Keywords:
skills developmentsmart labstoolkitstraining

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Area of Science:

  • Educational Technology
  • Engineering Education

Background:

  • Educational institutions globally seek modernized approaches to enhance performance and student outcomes.
  • Developing effective tools for class activities and skill development is crucial for educational success.

Purpose of the Study:

  • To propose a methodology guiding educational institutes in implementing personalized training Toolkits within Smart Labs.
  • To empower educators in creating tailored training modules and support students in skill acquisition.

Main Methods:

  • A methodology was proposed for integrating personalized training Toolkits into Smart Labs.
  • A model was developed to represent potential Toolkits for training and skill development.
  • A hardware prototype (connecting sensors to actuators) was instantiated and tested.

Main Results:

  • The methodology facilitates the design of personalized training disciplines and module courses.
  • The Smart Lab setup, including the hardware box, was applied in an engineering program.
  • Student skills in the Internet of Things (IoT) and Artificial Intelligence (AI) were developed.

Conclusions:

  • The proposed methodology, supported by a model of Smart Lab assets, effectively facilitates training programs via Toolkits.
  • The approach enhances both educator capabilities in curriculum design and student skill development.
  • The system shows applicability, particularly in domains like health and engineering education.