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Interactive and Visualized Online Experimentation System for Engineering Education and Research

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MEIoT 2D-CACSET: IoT Two-Dimensional Cartesian Coordinate System Educational Toolkit Align with Educational

Rocío Carrasco-Navarro¹, Luis F Luque-Vega², Jesús Antonio Nava-Pintor³

¹Research Laboratory on Optimal Design, Devices and Advanced Materials-OPTIMA, Department of Mathematics and Physics, ITESO, Tlaquepaque 45604, Jalisco, Mexico.

Sensors (Basel, Switzerland)

|July 9, 2022

Summary

This study integrates Internet of Things (IoT) technology into a 2D Cartesian Coordinate System Educational Toolkit (2D-CACSET). This innovation enables remote learning of coordinate geometry concepts through educational mechatronics and IoT, enhancing digital education delivery.

Keywords:

Internet of Things educational mechatronics educational toolkit engineering education sensors

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Area of Science:

Educational Technology
Mechatronics Engineering
Computer Science

Background:

The COVID-19 pandemic necessitated significant shifts in educational delivery, emphasizing the need for digital and virtual learning solutions.
The Internet of Things (IoT) is identified as a key technology for facilitating this transition in education.
Existing educational toolkits require enhancement to support remote and interactive learning environments.

Purpose of the Study:

To integrate IoT technology into the Two-Dimensional Cartesian Coordinate System Educational Toolkit (2D-CACSET).
To develop the MEIoT 2D-CACSET, incorporating educational mechatronics and IoT for enhanced learning.
To extend the Educational Mechatronics Conceptual Framework (EMCF) to encompass virtual learning environments.

Main Methods:

Integration of IoT technology into the 2D-CACSET.
Development of the MEIoT 2D-CACSET, combining mechatronics and IoT principles.
Extension of the EMCF to support virtual learning across concrete, graphic, and abstract levels.
Design of three instructional modules utilizing the MEIoT 2D-CACSET for teaching 2D Coordinate Cartesian System concepts.

Main Results:

The MEIoT 2D-CACSET successfully integrates IoT and mechatronics for educational purposes.
The extended EMCF facilitates knowledge construction in virtual environments at multiple levels of abstraction.
Instructional designs enable remote acquisition and application of knowledge regarding coordinate axes, quadrants, and points in a 2D system.

Conclusions:

The MEIoT 2D-CACSET offers a viable IoT-based educational technology solution for contemporary educational challenges.
This approach supports remote learning and knowledge acquisition in fundamental mathematical and engineering concepts.
The integration of IoT in educational toolkits is crucial for advancing digital transformation in the education sector.