Improving the Quality of Electronic Learning Tools when Studying the Discipline of Robotics Using a Mobile Application
Year: 2024
Type: article
Abstract: This academic article aims to enhance the pedagogical approach to teaching robotics by integrating electronic learning tools and augmented reality. The focus is on developing an effective methodology for improving the educational experience in robotics instruction. The study's theoretical framework involved a thorough analysis of pertinent literature and offered insights into the complexities of teaching robotics. Significant focus was placed on comprehending the fundamental aspects of a sturdy educational framework in robotics. The crucial function of digital learning devices in enhancing robotics education quality was emphasized. An in-depth analysis of diverse digital learning technologies appropriate for robotics instruction was conducted. Notably, notably, the study delves into the revolutionary capabilities of augmented reality in this educational context. The study implemented a research methodology that involved a cohort of participants. The methodology was customized to integrate augmented reality into the teaching process, with the objective of improving theoretical comprehension and practical application. To achieve this aim, a dedicated electronic learning platform was utilized, specifically created for robotics education, which enhanced the traditional learning experience. The experiment's results underwent thorough analysis, yielding valuable insights into the efficacy of the proposed methodology in augmenting robotics education's quality. The amalgamation of augmented reality in electronic learning tools demonstrated encouraging outcomes in cultivating a captivating and immersive learning environment for students pursuing robotics.
Authors: A. Ramankulov, N.T. Shyndaliyev
Institution: L. N. Gumilyov Eurasian National University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4405994199
