| Issue |
E3S Web of Conf.
Volume 452, 2023
XV International Online Conference “Improving Farming Productivity and Agroecology – Ecosystem Restoration” (IPFA 2023)
|
|
|---|---|---|
| Article Number | 07007 | |
| Number of page(s) | 8 | |
| Section | Environmental Education and Ecotourism | |
| DOI | https://doi.org/10.1051/e3sconf/202345207007 | |
| Published online | 30 November 2023 | |
Analysis of methods for developing educational computer games
Fergana branch of the Tashkent University of Information Technologies, 150118 Fergana, Uzbekistan
* Corresponding author: laza2006@gmail.com
The article discusses methods for developing educational computer games and analyzes them in order to determine the main features of each method when developing such games. The key aspects of methods for developing educational computer games are presented and the features of each aspect are identified. Detailed diagrams of the components of game design development, learning concepts, interactivity and adaptability, and the use of multimedia have been constructed. A comparison of educational and entertaining computer games was made. As a result of the analysis, the main features of each method under consideration for educational computer games were identified, the main differences between educational and entertaining computer games were identified in terms of target orientation, audience covered, content, scenario and methods used. In the course of the analysis, a theoretical conclusion was made about what features of the development of each of the methods of educational computer games are the main ones and their impact on the effectiveness
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.