Electric Signals in Machine Learning Using AppInventor and Arduino

Chrysoula Xixi, Argyro Vlachodimitropoulou, Georgia Stathopoulou, Andreas Panagiotou, Panagiotis Papastathakopoulos and Sarantos Psycharis
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Chrysoula Xixi: University of Thessaly School of Pedagogical and Technological Education (ASPAITE), Greece
Argyro Vlachodimitropoulou: University of Thessaly School of Pedagogical and Technological Education (ASPAITE), Greece
Georgia Stathopoulou: University of Thessaly School of Pedagogical and Technological Education (ASPAITE), Greece
Andreas Panagiotou: University of Thessaly School of Pedagogical and Technological Education (ASPAITE), Greece
Panagiotis Papastathakopoulos: University of Thessaly School of Pedagogical and Technological Education (ASPAITE), Greece
Sarantos Psycharis: University of Thessaly School of Pedagogical and Technological Education (ASPAITE), Greece

European Journal of Engineering and Technology Research, 2023, 1-7

Abstract: Recent developments in Artificial Intelligence (AI) have introduced machine learning and its applications into everyday life. As technology becomes increasingly integrated into the educational system, researchers are focused on developing tools that allow students to interact with machine learning in a way that sparks their curiosity and teaches them essential concepts. Our instructional proposal, titled “Electric Signals in Machine Learning Using App Inventor,” focuses on applying learning, transfer, and classification models of audio spectrograms to teach students in the first year of high Secondary school (A’ Lyceum) fundamental concepts of machine learning. This is accomplished using MIT App Inventor and Arduino’s visual programming environments. Students will use the website “Personal Audio Classifier” to train an audio model and App Inventor to connect computer science and machine learning. In addition, with the aid of the Arduino microcontroller, students will engage in visualising Morse code signals and investigating Physical Computing, allowing them to create digital solutions that connect to the real world.

Keywords: App Inventor; Artificial Intelligence; Machine Learning; Personal Audio Classifier (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:y:2023:id:63131

DOI: 10.24018/ejeng.2023.1.CIE.3131

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