ABSTRACT
In this paper, we aimed to investigate how sustainable development can be involved in educational contexts that use new trends in technology such as Artificial Intelligence (AI) and Data Science (DS). To achieve this goal, we conducted a documentary Systematic Review using PRISMA research to find and analyze applications of sustainable development in these aforementioned contexts. In the results, we explain how some applications of both AI and DS, including Big Data and Learning Analytics among others, offer alternatives to substantially improve the educational process by allowing either education to be personalized, learning to be predicted, or even possible school dropouts to be predicted. We found that the COVID emergency sped up the introduction of these technologies in educational environments. Nevertheless, the inclusion of new technologies to develop better processes in education is still in progress and will continue to grow. In conclusion, we identified and analyzed some of the main applications found in the literature regarding new computing technologies. AI and DS have introduced new learning and teaching methods to solve different context problems that promote sustainable development while making educational environments more dynamic. On the other hand, we observed that the divide in many countries will continue due to their economic and technological situations. We describe some of the challenges that the incorporation of these technologies will bring in the near future.
ABSTRACT
Initial Crypto-Token Offering (ICO) strategy has worked so far to fund any project. In this scheme, the ICO launches a token playing the role of a stockholder’s share;the more the people buy tokens, the more the funding for the projects. The stakeholders also earn money if the project gains more reliability and more people buy this token. In other words, an ICO strategy works based on either selling or buying of tokens in the areas of security, utility, equity, etc. However, this paper’s focus is only on using oracles and Hyperledger, which means that there is no need to launch a token, instead it uses the network blockchain benefits, particularly oracles and the Ethereum virtual machine, i.e. not the Ethereum blockchain platform but its virtual machine. Since this is a proposal for governmental or corporate usage, the Hyperledger and oracles strategy fits better for this application. Funds for this use-case are gathered in the healthcare field, specifically to reduce the COVID-19 pandemic. The system’s reliability is the core for attracting investors and donors to fund the system if it guarantees that resources will get to the right destiny. DAPP is based on a smart contract aligned with the smart societies concept to ensure system sustainability. [ FROM AUTHOR] Copyright of Fractals is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Due to the exponential growth in the use of systems with applications of blockchain technology, this paper develops a funding system, with donations and offers of shares, through the Ethereum platform with blockchain technology. Given the benefits that blockchain provides data protection and has high security, this paper offers a decentralized donation expert system using smart contracts that makes fully reliable donation systems to attract more funds to this urgent global health issue. Smart contracts provide faithful donations and meet the characteristics of being versatile, accessible, and sustainable to combat the COVID-19 pandemic. This expert system found the Merkle grid as an optimum method to work efficiently on the blockchain. The expert system proved to be steady and efficient by using an essential test dataset. A reliable donation system expects more donors and investors since a sustainable and reliable approach is always a milestone. The primary purpose of developing this system is to attract donors to bring down the COVID-19 pandemic by providing a faithful donation system.