scholarly journals Constructivism-Based Methodology for Teaching Artificial Intelligence Topics Focused on Sustainable Development

2019 ◽  
Vol 11 (17) ◽  
pp. 4642 ◽  
Author(s):  
Georgina Mota-Valtierra ◽  
Juvenal Rodríguez-Reséndiz ◽  
Gilberto Herrera-Ruiz

This article proposes the creation of a course based on a series of practical sessions, where the students have to develop their practical knowledge about artificial intelligence techniques, specifically multilayer perceptron. The novelty of this paper is based on the constructivism methodology regarding artificial intelligence and sustainable development. Moreover, it can be implemented in different majors because of the flexibility in certain aspects. It is oriented to evaluate skills in the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context. The proposal helps the students to turn theoretical concepts into more tangible objects where they can build their knowledge by programming their implementations in software. Then, programming codes for practicing the neural networks theory, finite impulse response, empirical mode decomposition and discrete wavelet transform are achieved to compare percentage classification between different techniques. Also, it measures the interaction between the student and the theoretical mathematics of artificial intelligence. The continuous evaluations at the end of the practical sessions corroborate the increase in the knowledge of the students. A study based on rubrics illustrates an increase in the average grade obtained by the students in the elaboration of each practice. Finally, a senior project is carried out by taking into account sustainable development issues and the usage of tools of artificial intelligence.

2019 ◽  
Vol 9 (1) ◽  
pp. 180 ◽  
Author(s):  
Weifang Zhang ◽  
Meng Zhang ◽  
Yan Zhao ◽  
Bo Jin ◽  
Wei Dai

Damage detection using an FBG sensor is a critical process for an assessment of any inspection technology classified as structural health monitoring (SHM). FBG signals containing noise in experiments are developed to detect flaws. In this paper, we propose a novel signal denoising method that combines variational mode decomposition (VMD) and changed thresholding wavelets to denoise experimental and mixed signals. VMD is a recently introduced adaptive signal decomposition algorithm. Compared with traditional empirical mode decomposition (EMD), and it is well founded theoretically and more robust to noise samples. First, input signals were broken down into a given number of K band-limited intrinsic mode functions (BLIMFs) by VMD. For the purpose of avoiding the impact of overbinning or underbinning on VMD denoising, the mixed signals, which were obtained by adding different signal/noise ratio (SNR) noises to the experimental signals, were designed to select the best decomposition number K and data-fidelity constraint parameter α. After that, the realistic experimental signals were processed using four denoising algorithms to evaluate denoising performance. The results show that, upon adding additional noisy signals and realistic signals, the proposed algorithm delivers excellent performance over the EMD-based denoising method and discrete wavelet transform filtering.


Author(s):  
Deimantė Šulskytė

In the context of global economy, logistics activities are necessary for ensuring the global competitiveness of other sectors and comprehensive development of the country. In the recent years, the concept of sustainable development is changing the meaning of economic growth. Taking into account the meaning of logistics and principles of sustainable development, the main aim of the article is to assess the impact of the logistics sector on sustainable development. In order to achieve this aim, theoretical concepts of sustainable development, logistics and its relationship are revealed , as well as key macroeconomic indicators and indices are identified and applied when evaluating the impact of logistics sector on sustainable development. The findings indicate that in the context of European Union countries, logistics sectors related with transport and IT factors significantly influence different indices of sustainable development.


2020 ◽  
Vol 12 (22) ◽  
pp. 9435
Author(s):  
Muhammad Tanveer ◽  
Shafiqul Hassan ◽  
Amiya Bhaumik

Artificial intelligence (AI) has grown, and technologies have intensified across all fields of life, particularly in education. AI has been applied to resources to improve skills giving teachers the time and freedom to provide understanding and adaptability and drive performance. This paper, written for policymakers in the field of education, highlights the impact of AI and advancements in academic policy. These academic policymakers generate ideas and strategies for applying AI across various disciplines. There is also discussion around AI implementation in education throughout developing nations for moving towards and ensuring affordable, high-quality education for every individual. Education for sustainable development (ESD) aims to promote the development of knowledge, skills, understanding, values and actions necessary to build a sustainable world, to protect and preserve the environment, and promote social equity and economic sustainability. This paper analyses how AI can be used to update learning probabilities by providing examples of how it can be integrated with existing educational systems, using data to improve educational capital and quality in developing countries. It goes on to discuss whether policymakers and institutions can reinvent and rework educational programs to polish graduates’ skills for the growing presence of AI across all disciplines. There are four main parts to this work: (1) different dimensions regarding the complexities and potential implications, (2) the pros and cons of educational sustainability policy related to AI, (3) carving out AI and its outstanding execution, and finally (4) the linkage of AI with higher education within the context of educational expansions. In conclusion, the paper focuses on AI’s applications, benefits and sustainable development education challenges.


2019 ◽  
Vol 9 (4) ◽  
pp. 589-606 ◽  
Author(s):  
Franz Rauch ◽  
Günther Pfaffenwimmer

This chapter describes networking for education for sustainable development within the Austrian ECOLOG-schools network. It discusses theoretical concepts of Education for Sustainable Development and school development from an Austrian perspective, as well as networks in education in general and the organization of the ECOLOG-network in particular. Furthermore, the international Environment and School Initiatives (ENSI) network is described as an influential stimulus for the development of ECOLOG. Based upon these foundations, the concept and results of evaluation studies of ECOLOG-schools are described and reflected. The impact of ECOLOG on the developments in environmental education/education for sustainable development in Austria is described and reflected. The paper concludes with a summary of the evaluation process and with an outlook for the future development of the network.


2021 ◽  
pp. 102-110
Author(s):  
А.Я. Яфасов ◽  
Н.А. Кострикова

Сформулированы задачи рыбной отрасли, связанные с экономической, продовольственной и общей безопасностью России, реализацией Национальной технологической инициативы и переходом национальной экономики в цифровую экономику и Индустрию 4.0. Для их решения сформулированы ключевые условия успешной цифровой трансформации отрасли, заключающиеся в развитии технологий и оборудования добычи и глубокой переработки водных биологических ресурсов, рециклинга, ускоренной цифровизации отрасли с использованием цифровых платформ, ситуационных центров, искусственного интеллекта и др. инструментов информационных технологий. Проведена оценка влияния ресурсной, технологической, продуктовой и цифровой трансформации рыбной отрасли России и новых технологий глубокой переработки морепродукции, на развитие рыбной отрасли России. За правовую базу модернизации рыбной отрасли взяты Декларация Генеральной ассамблеи ООН от 25 сентября 2015 года «Преобразование нашего мира: Повестка дня в области устойчивого развития на период до 2030 года», Морская доктрина и Доктрина продовольственной безопасности России и другие нормативно-правовые акты. Новизной работы является выявление существенных условий успешности перестройки рыбной отрасли, заключающихся в обеспечении конгруэнтности всех процессов модернизации, учете изменений характеристик Мирового океана и необходимости перехода от парадигмы «Устойчивое развитие» к «Управлению, основанному на оценке рисков». Новый подход требует применения новых инструментов мониторинга, рапид-форсайтов и оценки рисков, в частности, с использованием «Цифровых двойников, следов и теней», Big Data и искусственного интеллекта. Предлагается рассматривать рыбную отрасль России как единую социально-экономическую и производственно-экологическую среду, в которой обеспечивается конгруэнтное развитие человеческого потенциала, производственной инженерно-технологической среды, киберфизических систем и информационных систем управления. Расширение и цифровое изменение бизнес-процессов в рыбной отрасли обеспечит конвергентное взаимодействие всех акторов отраслевой экономики и управления, перерастание производственных технологий в разряд эмерджентных, позволяя кратно увеличить ВВП отрасли в течение 2022 - 2035 гг. The tasks of the fishing industry related to the economic, food and general security of Russia, the implementation of the National Technology Initiative and the transition of the national economy to the digital economy and Industry 4.0 are formulated. To solve them, the key conditions for a successful digital transformation of the industry have been formulated, consisting in the development of technologies and equipment for the extraction and deep processing of aquatic biological resources, recycling, accelerated digitalization of the industry using digital platforms, situational centers, artificial intelligence and other tools. information technologies. An assessment was made of the impact of the resource, technological, food and digital transformation of the Russian fishing industry and new technologies for deep processing of seafood on the development of the Russian fishing industry. The legal basis for the modernization of the fishing industry was taken from the UN General Assembly Declaration of September 25, 2015 “Transforming our world: the 2030 Agenda for Sustainable Development”, the Marine Doctrine and the Doctrine of Food Security of Russia and other regulatory legal acts. The novelty of the work is the identification of essential conditions for the success of the restructuring of the fishing industry, which consists in ensuring the congruence of all modernization processes, taking into account changes in the characteristics of the World Ocean and the need to move from the Sustainable Development paradigm to Risk-Based Management. The new approach requires the use of new monitoring tools, rapid foresight and risk assessment, in particular, using “Digital twins, traces and shadows”, Big Data and artificial intelligence. It is proposed to consider the fishing industry of Russia as a single socio-economic and production-ecological environment, in which the congruent development of human potential, industrial engineering and technological environment, cyber-physical systems and information management systems is ensured. The expansion and digital change of business processes in the fishing industry will ensure the convergent interaction of all actors of the sectoral economy and management, the development of production technologies into the category of emerging technologies, allowing a multiple increase in the industry's GDP during 2022 - 2035.


Author(s):  
F. Javier Heredia Yzquierdo

The United Nations have developed the 2030 Agenda for Sustainable Development as a global agreement aiming to eradicate extreme poverty, fight inequality and injustice and leave no one behind. Agreed by world leaders at the UN in 2015, the 17 Sustainable Development Goals (SDGs) succeed the well-known Millennium Development Goals (MDGs). Parts of the Goals directly address environmental issues. Other do indirectly. In response to this growing awareness, the European Union has enacted a number of policies targeting environmental issues, including lowering carbon emissions and water conservation. It can be argued that the EU is at the forefront of addressing the environmental issues outlined in the SDGs. These policies are mentioned in this Paper and they are to be considered strategic. Artificial Intelligence has been having an impact in human activities for decades. Lately the impact is happening exponentially. The European Union is aware of such a fact and it implements policies towards increasing innovation in the public and private sector, including funding programmes and instruments to foster business development and efficiency in the Union and in the Member States. AI is also capable of having a profound impact in the environmental issues that the Agenda 2030 is bringing.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Bo Hu

The Internet is a popular form of information technology development in the new century, and it organizes and analyzes big data by taking effective measures to find useful information. With manpower, it is obviously not enough to be in such a huge information system, so the emergence of sustainable computing and artificial intelligence has become the core of large-scale data processing at this stage. This paper studies the application of the combined algorithm based on sustainable computing and artificial intelligence. In this paper, a new combined intelligent search algorithm is proposed by combining sustainable computing with artificial intelligence. The combination algorithm firstly analyzes the value from the aspects of ecological environment and economic benefits and studies the overall evaluation of sustainable development ability. Secondly, the energy analysis method is used to establish a reasonable comprehensive ecosystem and evaluate its impact on the sustainable development of environment and economy. Finally, the impact of resource consumption, wind speed detection, waste discharge, and utilization of renewable resources in a certain area is analyzed by simulation. Through the experimental results, on the one hand, it is proved that the data obtained by the combined algorithm are more accurate than the single algorithm; on the other hand, the combined algorithm can be further sublimated and widely used for other data detection. The combination algorithm proposed in this paper can effectively detect the required data and has high applicability.


Author(s):  
Ricardo Moreno-Rodriguez ◽  
Miriam Diaz-Vega ◽  
Jose Luis Lopez-Bastias ◽  
Rosa Espada-Chavarria

Agenda 2030 expresses, through the Sustainable Development Goals (SDG), and in particular through No. 4, the need to ensure an inclusive and equitable education, which promotes learning opportunities for all. At the university level, all students are urged to acquire the necessary theoretical and practical knowledge to promote sustainable development, so that they become graduates capable of facing the challenges of the future and the real demands of a society marked by heterogeneity, including the needs of people with some kind of disability. In this sense, the present work analyzed the impact of a transversal training program in Design for All on university degree students. For this purpose, a descriptive and comparative ex post facto study was developed in which the impact of an online training program was quantified by establishing comparative pre- and post-training. The results indicate that the approach, through the delivery of a training xplain eon Design for All, contributed to a change in the perceptions of students regarding disability, its role in the university and in the future workplace. Furthermore, it increased the knowledge of institutional action undertaken in terms of awareness and approach to human disability.


Sign in / Sign up

Export Citation Format

Share Document