Search or ask a question

How can the computer maze support sustainability?

Social sustainability

Sustainability organizations

Education for sustainable development

Context (archaeology)

Best insight from top research papers

Computer mazes can support sustainability through various means. One approach involves utilizing a model of Reinforcement Learning with spatio-temporal connections, such as the Temporal Hebbian Self-Organizing Map (THSOM), to build near-optimal routes in mazes of different complexities, showcasing sustainable learning . Additionally, incorporating game-based learning tools like EscapeCampus, an online escape room simulating Augmented Reality, can educate students on the 17 Sustainable Development Goals (SDGs) set by the United Nations, increasing awareness of sustainability concepts among youth . Furthermore, integrating computational techniques into education, as proposed in the context of Computational Sustainability, can equip individuals with the necessary skills to address sustainability challenges effectively . By leveraging these technological and educational tools, computer mazes can play a role in promoting sustainability awareness and understanding.

Answers from top 5 papers

PDF

Open Access

More filters

Papers (5)	Insight
Proceedings Article•DOI EscapeCampus: exploiting a Game-based Learning tool to increase the sustainability knowledge of students Chiara Ceccarini, Catia Prandi - Show less +1 more 07 Sep 2022 1 Citations	EscapeCampus, an online escape room with Augmented Reality, enhances sustainability knowledge among students by simulating the 17 Sustainable Development Goals, increasing awareness by 22%.
Open access Computational sustainability: an emerging research and academic discipline Swati V. Chande 01 Jan 2014 3 Citations	Computational techniques, like computer modeling, can aid sustainability by solving diverse problems such as climate change and resource management, making them crucial for addressing sustainability challenges effectively.
Book Chapter•DOI Applying a Neural Network Architecture with Spatio-Temporal Connections to the Maze Exploration Dmitry Filin, Aleksandr I. Panov - Show less +1 more 01 Aug 2017	The computer maze can support sustainability through a neural network model with spatio-temporal connections, enabling sustainable learning and near-optimal route building in maze exploration experiments.
Book Chapter•DOI The Energy Maze Roger James Kuhns, George H. Shaw - Show less +1 more 01 Jan 2018	The computer maze can support sustainability by aiding in the development of a comprehensive sustainable energy policy to transition into a clean energy economy, as outlined in "The Energy Maze."
Journal Article•DOI Using Game-based Learning to Facilitate Attitude Change for Environmental Sustainability: Shamila Janakiraman, Sunnie Lee Watson, William R. Watson - Show less +2 more 17 Oct 2018-Journal of Education for Sustainable Development 28 Citations	Using game-based learning like computer mazes can facilitate attitude change for environmental sustainability by educating youth on creating a sustainable future, as highlighted in the research paper.

My columns

Related Questions

Where can AI be used in sustainable development and environmental management?5 answersArtificial Intelligence (AI) plays a crucial role in sustainable development and environmental management across various sectors. AI applications are utilized in biodiversity, energy, water, transportation, air quality, agriculture, and resilience to extreme events. Specifically, AI aids in producing sustainable solutions for energy and resource efficiency, agriculture, water management, waste management, and transportation. Moreover, AI contributes to detecting, monitoring, and managing heavy metal pollution, guiding remediation strategies, and integrating with sustainable practices in agriculture, industry, and urban planning. However, to ensure AI aligns with sustainability goals, ethical and legal regulations must be enhanced, along with increasing user awareness. Overall, AI's potential in sustainable development and environmental management is vast, offering innovative solutions to address global environmental challenges effectively.

Do users of ai systems care about sustainability?5 answersUsers of AI systems do care about sustainability. The increased use of AI systems is associated with multi-faceted societal, environmental, and economic consequences, including rising energy consumption and greenhouse gas emissions in AI model development and application. Stakeholders are expected to play a role in understanding and steering the environmental effects of AI systems. Artificial intelligence technologies can be used to produce sustainable solutions in areas such as energy and resource efficiency, agriculture, water management, waste management, and transportation. However, there are potential risks of AI technologies in sustainability, and ethical and legal regulations should be increased to ensure their alignment with sustainability goals. The adoption of trustworthy, ethical AI must be ensured to promote a safe and secure society for all.

How is AI being used to improve sustainability?5 answersAI is being used to improve sustainability in various ways. It is being utilized to develop sustainable solutions in areas such as energy and resource efficiency, agriculture, water management, waste management, and transportation. AI applications are being used in industries such as biodiversity, energy, water, transportation, air, agriculture, and resilience to extreme events to promote sustainable environmental development. AI is also being employed to integrate data and predict environmental impact factors, enhance plant design and management, and optimize processes to reduce costs and improve efficiency, all of which contribute to a more rapid transition to a sustainable system. Additionally, AI is being used to improve environmental sustainability by reducing climate change, promoting agriculture, enhancing ocean health, managing water resources, improving weather forecasting, and increasing disaster resiliency.

How can AI be used to promote sustainability?3 answersAI can be used to promote sustainability by addressing the challenges and risks associated with its widespread use. It is important to ensure the adoption of trustworthy and ethical AI to avoid unintended hazards and prioritize safety and security. Additionally, AI can contribute to sustainability by improving energy efficiency and reducing carbon emissions. The environmental impact of AI models should be considered, and efforts should be made to develop more resource-conscious AI systems. Furthermore, AI tools like GPT-3 can help make complex information, such as sustainability reporting and investment disclosures, more comprehensible, enabling individuals and businesses to better understand their rights and obligations and monitor sustainability. By using AI in the analysis, mitigation, and prevention of climate and environmental crises, AI can play a crucial role in alleviating these concerns and promoting a more sustainable future.

How can AI support more sustainable energy supply?5 answersAI can support more sustainable energy supply by leveraging its capabilities in various areas. AI technologies, such as machine learning and deep learning, can enhance the management of electricity supply, usage, and sustainable energy integration into the electricity network. By analyzing big data and utilizing advanced algorithms, AI can optimize energy systems, improve energy efficiency, and enable smart grid management. AI can also contribute to decision-making processes, energy demand management, and predictive maintenance control, leading to increased operational performance and efficiency in the energy industry. Additionally, AI tools can analyze vast amounts of data and make intelligent decisions, enabling the optimization of energy generation, distribution, and consumption for greater efficiency, reliability, and sustainability. With the help of AI and machine learning, renewable energy sources like solar energy can benefit from improved predictions, lower costs, and increased returns on investment.

What are the effects of technology in virtual education on sustainable development?3 answersThe use of technology in virtual education has several effects on sustainable development. Firstly, it allows for cost reduction by eliminating the need for physical materials and enabling the delivery of information through programs and apps. Additionally, technologies such as augmented reality (AR) and virtual reality (VR) provide immersive and interactive formats for learning, which can promote understanding of action and the transfer of knowledge and values related to sustainability. Virtual exchange (VE) in engineering education for sustainable development (ESD) enables international collaborations and the development of digital competences, contributing to sustainability and the dematerialization potential of sustainable ICT. Open and distance non-formal education, facilitated by technology, can also help provide education about and for environmental conservation and sustainable development in developing countries. Overall, technology in virtual education plays a crucial role in advancing sustainable development by enhancing access, promoting collaboration, and facilitating the acquisition of digital competences.

See what other people are reading

How do recommendation systems influence the marketing of dating apps?

Recommendation systems play a significant role in shaping the marketing strategies of dating apps. Collaborative filtering algorithms used in these systems can predict user preferences based on past behaviors of similar users. These algorithms personalize user experiences by providing tailored profiles, potentially influencing user choices and interactions on the platform. Additionally, recommendation systems enhance the effectiveness of precision marketing by identifying potential user needs and improving advertising arrival rates, exposure, and click conversion rates. Furthermore, AI-based recommendation systems, such as collaborative filtering and content-based algorithms, are crucial in providing personalized recommendations to users, thereby impacting user engagement and satisfaction on dating apps. Overall, recommendation systems not only optimize user experiences but also drive marketing success by increasing user engagement and promoting app usage through personalized recommendations.What challenges or problem of implementing AR in Malaysian education?

Implementing Augmented Reality (AR) in Malaysian education faces challenges such as difficulties in explaining abstract concepts like vectors, especially in fully online classes during the COVID-19 pandemic. Additionally, there is a significant gap in utilizing AR for deaf and hard-of-hearing (DHH) students, with a lack of familiarity and social stigma hindering its adoption in the education sector. Despite the potential benefits of AR in enhancing students' focus, interest, and comprehension, there is a need to address the unfamiliarity and awkwardness DHH students may feel when using AR applications in their classes. These challenges highlight the importance of further research and development to effectively integrate AR technologies into the Malaysian education system.What causes a desire for perfection?

A desire for perfection can stem from various factors such as intrinsic motivation to achieve high goals, fear of negative evaluation, parental expectations, and societal pressures. Studies show that perfectionism in high school teachers can be driven by the pursuit of ideal standards, self-improvement, and the belief that perfection is attainable. Additionally, perfectionism in children may be influenced by parental expectations, aspirations, and the need to create an optimized self in a competitive society. Different paths to perfection exist, with one focusing on personal development towards an ideal person and the other on competitiveness in the face of technological advancements. These factors collectively contribute to the development of perfectionist tendencies in individuals across different age groups and professions.What are the current problems associated with mycotoxin contamination in Nigeria agricultural produce??

Mycotoxin contamination in Nigerian agricultural produce poses significant health risks and economic challenges. Studies reveal high levels of aflatoxin contamination in staple crops like maize, groundnut, rice, cowpea, and soybean, leading to concerns about hepatocellular carcinoma and other health issues. Aflatoxins were detected in various food types, with maize and peanut showing high prevalence, contributing to liver cancer risks. Additionally, ready-to-eat foods in Nigerian markets were found to be contaminated with mycotoxins like deoxynivalenol, fumonisins, and citrinin, with citrinin levels posing a significant health risk. Despite efforts by the private sector to implement biocontrol strategies, challenges persist in ensuring widespread adoption of preventive technologies to mitigate mycotoxin contamination in agricultural produce.How are migration patterns changing in riverside communities who experience regular flooding under climate change?

Migration patterns in riverside communities experiencing regular flooding under climate change are evolving due to various environmental stressors. Studies show that long-term events like riverbank erosion increase aspirations for internal, permanent migration, while short-term events such as floods do not significantly impact migration aspirations. Flood risk prompts adaptive behavior like in-situ adaptation or migration, with low levels of flood-related migration likely to rise under higher flood risk. Global warming and population changes are projected to substantially increase flood-induced displacement risk, with a 50% increase in global displacement risk for every degree of global warming, further exacerbated by population changes. Climate-sensitive hotspots may experience shifts in demographics due to outmigration decisions, potentially placing low-income households at higher risk.How are migration patterns changing in riverside communities in the Amazon who experience regular flooding under climate change?

Migration patterns in riverside communities in the Amazon experiencing regular flooding under climate change are evolving due to increased extreme events. Residents are adapting by modifying planting areas, seeking new rubber matrices, and adjusting their calendars to mitigate losses from floods. Local knowledge is becoming less reliable, hindering effective planning of subsistence activities during extreme events, leading to intensified adaptation strategies such as prioritizing flood-resistant plants and working in less affected landscapes. The increased occurrence and intensity of extreme floods have prompted the implementation of various locally devised responses, despite limited governmental support, with responses evolving over time based on experience with repeated extreme events. These changes highlight the need for documentation and sharing of adaptation strategies to enhance community resilience.Is there a relationship between parent's education level and participation in STEM education? In Pakistan?

Research indicates a significant relationship between parents' education level and their participation in STEM education. Parents with a university-level education tend to show higher interest in STEM subjects, which can positively influence their children's engagement in STEM activities. Additionally, parents' professionalism and occupation in STEM fields have been found to impact high school students' success and persistence in STEM areas. Furthermore, parental exposure to STEM, including their knowledge and awareness of STEM subjects, plays a crucial role in predicting their children's enrollment in STEM-related courses. Therefore, in Pakistan, it is likely that parents with higher education levels and occupations in STEM fields may be more inclined to participate actively in STEM education initiatives, potentially fostering greater interest and engagement in STEM subjects among their children.Review of literature om study nosocomial infections?

Nosocomial infections, particularly those caused by antibiotic-resistant pathogens like Staphylococcus and Acinetobacter, remain a significant challenge globally, leading to increased morbidity and mortality rates in hospital settings. Studies indicate a rising trend in the prevalence of hospital-acquired infections (HAIs), with rates varying across different regions, such as higher rates in Africa compared to other parts of the world. The COVID-19 pandemic has further exacerbated the issue, with HAIs estimated at 15%, highlighting the impact of the pandemic on infection rates, especially in high-risk populations with prolonged hospital stays. Effective prevention strategies, including hand hygiene, sterilization, and continuous monitoring of infection spread, are crucial in mitigating the burden of nosocomial infections and reducing associated costs and resource utilization.What challenges for Collaborative learning in Malaysia?

Challenges for collaborative learning in Malaysia include students' self-image and perceptions of their abilities, personality clashes, lack of cooperation among group members, unclear instructions, and insufficient guidance from teachers. Additionally, the sudden shift to online platforms due to the COVID-19 pandemic has impacted collaborative learning, making it challenging for instructors to facilitate collaborative learning effectively. Furthermore, in the context of blended learning, students have highlighted limitations such as issues with slow-learners, student-lecturer engagement, and existing infrastructure challenges, which can hinder the successful implementation of collaborative learning activities. These challenges emphasize the importance of addressing various factors to ensure the effectiveness of collaborative learning experiences in Malaysian educational settings.What are the Explantions for victimisation between different ethnic/social groups?

Victimization between different ethnic or social groups can stem from various factors. Research indicates that newcomers belonging to ethnic majorities may experience higher victimization rates, while ethnic minority newcomers face lower self-esteem and life satisfaction levels. Additionally, first-generation immigrants and gypsies are at a higher risk of ethnic-cultural victimization, potentially leading to social exclusion due to lack of social support. Factors such as narrative construction can influence the perception of victimhood, with the composition of victimhood narratives affecting how target groups are viewed. Moreover, personality traits like neuroticism, introversion, and low agreeableness can increase vulnerability to victimization, while moral disengagement, lack of empathy, and negative attitudes towards immigrants can contribute to both ethnic and non-ethnic victimization behaviors.The attitude of students?

Students' attitudes play a crucial role in various aspects, as evidenced by the research findings. Studies show that students generally exhibit positive attitudes towards vaccination against COVID-19, with a majority expressing favorable views. Additionally, the correlation between students' knowledge and attitudes regarding health protocols during the new normal period indicates a weak positive relationship, emphasizing the importance of knowledge in shaping positive attitudes towards health measures. Furthermore, research on school students in India reveals that a significant portion have poor knowledge and attitudes towards COVID-19, highlighting the need for educational interventions to enhance students' understanding and attitudes towards the pandemic. Moreover, the development of students' attitudes towards pedagogical activities is influenced by their individual characteristics and the educational environment, emphasizing the importance of personal significance and continuous active engagement in shaping attitudes.