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A Project Based Learning Approach for Improving Students' Computational Thinking Skills.

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Summary

This educational robotics lab enhanced the NAO robot's social and autonomous functions using Wolfram Language. Students gained practical skills in programming and robotics for real-world applications.

Keywords:
educational roboticsmathematica wolfram languagemotor-behaviorproject-based learningsocial robots

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Area of Science:

  • Robotics and Artificial Intelligence
  • Educational Technology
  • Human-Robot Interaction

Background:

  • Project Based Learning (PBL) is an effective pedagogical approach for engineering education.
  • The NAO robot offers a platform for exploring social and autonomous functionalities.
  • Integrating advanced programming tools can enhance robot capabilities.

Purpose of the Study:

  • To design and implement enhanced social and autonomous functions for the NAO robot.
  • To investigate the use of Wolfram Language (WL) in an educational robotics lab.
  • To assess the impact of Project Based Learning on student skill development.

Main Methods:

  • Utilized the Project Based Learning (PBL) approach with undergraduate Electronic Engineering students.
  • Interfaced the NAO robot's programming environment with Wolfram Language (WL) via Mathematica.
  • Developed functionalities for autonomous movement, human face recognition, and speech processing.
  • Established an external data repository for streamlined robot data access.

Main Results:

  • Achieved partial solutions for NAO robot autonomy through WL integration.
  • Enhanced the robot's capabilities in autonomous movement, face recognition, and speech interaction.
  • Created an accessible external repository to manage robot data.
  • Students reported acquiring valuable skills applicable to real-world problems.

Conclusions:

  • The integration of Wolfram Language significantly improved the NAO robot's social and autonomous features.
  • Project Based Learning effectively equipped students with practical engineering and problem-solving skills.
  • The educational robotics lab successfully fostered advancements in human-robot interaction and AI.