USE OF CHATGPT DURING THE CREATION OF DIGITAL MEASUREMENT COMPLEXES FOR PERFORMING EDUCATIONAL RESEARCH OF THE STEM CENTER OF THE JUNIOR ACADEMY OF SCIENCES OF UKRAINE
DOI:
https://doi.org/10.51707/2618-0529-2023-28-01Keywords:
STEM education, digital measurement complex, Arduino, ChatGPT, Excel Data Streamer.Abstract
One of the key tasks for the effective development of STEM education is the introduction of modern teaching aids, which include digital measuring complexes, which are an integral part of a modern STEM center or STEM laboratory. The widespread use of digital measuring complexes is restrained by their high cost. A possible solution to the problem of wide availability of digital measuring complexes is their creation on the basis of Arduino platforms and sensors compatible with them. Arduino platforms require programming, the language of which can take quite a long time to learn. In this paper, an approach to the creation of digital measuring complexes on the Arduino platform, which involves the use of ChatGPT to create software code, is proposed and investigated. The proposed approach is studied on two examples. The study showed that the use of Arduino platforms in combination with the Excel Data Streamer data streaming tool makes it possible to create measuring complexes accessible to a wide range of teachers and students for performing laboratory work and educational research. Using ChatGPT to create program code greatly simplifies the task, eliminating the need for deep learning of a programming language at the initial stage. Along with this, ChatGPT-generated program codes contain comments to the commands, which facilitates a gradual and unobtrusive learning of the programming language, which in turn contributes to the development of such important competencies for STEM education as algorithmic thinking and digital literacy. Arduino platforms allow you not only to register data, but also to perform certain control operations. Using the Excel Data Streamer tool provides high computational capabilities. In general, the proposed approach is workable, quite flexible and allows to quickly create digital measuring complexes for various tasks.
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