bluuebunny/crossref_metadata_2025 huggingface dataset:
Meeting the Needs of Emergent Bi/Multilinguals Through Translanguaging
Authors: Guarino Amanda Rose , Wong Chiu-Yin
Published: May 2024

Existing literature discusses the importance of meeting EMLs' needs from a translanguaging lens; however, little addresses skills needed to create a translanguaging space. This study explores how secondary teachers created such a space through cognate instruction. Using a mixed method approach, we examined the impact of PD on cognate instruction and effects on educators measuring beliefs, knowledge, and self-reported practices for EMLs across content areas. There were three PDs focused on creating translanguaging spaces through implementing cognates into instruction, enabling EMLs to make full use of their linguistic repertoire and allowing teachers to make content knowledge accessible for EMLs. Findings indicate that the PD left teachers with realistic strategies, which increased most of their confidence in meeting EMLs' needs, positively changed perceptions of EMLs, and led to reflection on teaching practices. There was also a positive impact on student experiences, as teachers reported engagement, participation, and attendance rates increased. Practical implications are discussed.
AI-Powered Content Creation and Curriculum Development Based on Learning Styles
Authors: Hoffman Gabriel Daniel , Budree Adheesh
Published: May 2024

This chapter explores artificial intelligence (AI)'s potential to adapt pedagogy to individual learning styles as well as learning models including Fleming's VARK Model, Gardner's intelligence types, and Kolb's experiential learning, amongst others, to investigate how AI can tailor educational content and curriculum more effectively. A root cause analysis is then conducted to identify the possible shortcomings in the current educational landscape to understand how AI can tailor educational content to diverse learning styles and complexity levels.
The Role of ChatGPT to Improve Teaching and Learning in Higher Education
Authors: Sharma Manjari , Gupta Sharad
Published: May 2024

This chapter critically explores the role of ChatGPT and AI in higher education, examining their effects, challenges, and contributions to teaching and learning. It reviews studies highlighting ChatGPT's ability to personalize education, enhance student engagement, and boost research. Yet, it also addresses AI-related challenges like misinformation and dependency issues. The chapter recommends a balanced AI integration, focusing on ethical use, bridging the digital divide, and promoting continuous learning for educators and students. Concluding with future perspectives, it emphasizes AI's role in enriching education while cautioning about its careful application. The chapter offers an insightful analysis of AI's intricate role in higher education and strategies for its responsible integration.
Immersive Technologies
Authors: Kayyali Mustafa
Published: May 2024

This book chapter investigates the revolutionary impact of immersive technology, notably virtual reality (VR) and augmented reality (AR), on higher education. Tracing the developmental journey of VR and AR from its conceptual origins in the mid-20th century to their present-day implementations, the chapter demonstrates their enormous influence on teaching. Traditional classroom paradigms are being changed as immersive learning environments replace conventional lectures and textbooks. VR and AR transfer students to virtual domains, allowing them to interact with three-dimensional models, historical reenactments, and complicated simulations. The chapter also examines the obstacles and implications connected with the incorporation of new technologies, including the requirement for specialized training and assuring accessible for all students. As higher education undergoes a pedagogical revolution, this chapter gives insights into the ways VR and AR are altering the educational landscape and preparing students for the challenges of the digital age.
An Analysis of Algorithms and Methods Based on Image Processing for Medical Applications
Authors: Shahul Aakifa , Muniandi Balakumar , Paramashivan Mukundan Appadurai , Pandey Digvijay , Pandey Binay Kumar , Dadheech Pankaj , Hovan George
Published: May 2024

Image processing has become more crucial in medical applications due to its ability to collect and evaluate data from medical images. This book chapter provides an overview of various image processing techniques used for medical applications, including deep learning algorithms, segmentation techniques, and a combination of both. Additionally, the authors discuss other studies that analysed X-rays and used image processing to identify cancer, brain tumours, and other disorders. The results of the study demonstrate how image processing techniques have the potential to significantly improve sickness detection speed and accuracy, facilitating early diagnosis and treatment. The planning of therapies and the accuracy of diagnoses can both be enhanced by the use of image processing tools. Healthcare workers' ability to recognise and manage a variety of medical conditions will undoubtedly increase.
Poverty and Children's School Achievement
Authors: Uddin Md. Emaj
Published: May 2024

Little is known about how poverty and hardship affect children's school achievement. Drawing from parental investment, parental stress, and parenting practice model, this chapter reviews relevant literature to explain underlying mechanisms or pathways by which duration of family poverty (DFP) and economic hardship (EH) link to primary school achievement (PSA). A systematic literature review shows that compared to affluent parents, parents experiencing more DFP and EH have fewer investments, suffer more psychosocial stress/distress, and likely have more negative parenting practices that, in turn, significantly link to their lower PSA. Evidence in the existing literature suggests that parental stress/distress and negative parenting practices than parental investments are critical mechanisms by which DFP and EH impart negative effects on children's PSA. Future directions for social policy and research are discussed.
Parenting Athletes
Authors: Mauldin Kristin N. , Cabotaje Kyle , Puhl Lexi
Published: May 2024

Exercise and sports involvement are highly beneficial for youth. These extracurricular activities have a multitude of physical and emotional benefits and teach both the skills of the sport and social skills. However, parenting an athlete is not an easy task. Today's youth athletes are pushed harder than ever before. With the introduction of the Junior Olympics and travel ball, the stakes have become higher and the pressure more intense for these young athletes. For parents, facilitating sports involvement in their child and being involved but not too involved is a fine line. Pulling from research and applied experience in sports psychology, this chapter outlines methods parents can implement to increase children's motivation to engage in sports, increase their performance, return from setbacks, transition out of sports, and practice self-care. This chapter will discuss the dos and don'ts of parenting children in sports and other performance activities. Parenting athletes and high-level performers presents unique challenges but also presents opportunities to foster a child's growth and development. The authors focus on how parents' roles change as their children progress from youngsters learning basic techniques into skilled athletes. They begin with ways to encourage children to engage in sports and activities and foster intrinsic motivation. They then move on to the delicate balance of allowing children to have autonomy while still teaching commitment and motivating them – without pushing so hard that it contributes to anxiety and burnout. This leads to the parent's level of involvement where the authors discuss what the parent's role is and what it is not. Next, they focus on the child's potential setbacks, such as injury and game loss. Then, they propose strategies to help the child successfully rebound from these setbacks. Discussion will follow on how to support children as they prepare to transition out of sport and preparatory methods that can be used early on to keep an identity that extends beyond athletics. Finally, they wrap up with a personal note to parents on how their own experiences and expectations may be projected onto their children. Parental self-care and awareness will be encouraged, as they are vital to the well-being of the parent, the child, and their relationship.
Parenting and Providing Care to Adolescents and Young Adults Who Use Cannabis
Authors: Athey Nicholas
Published: May 2024

Recreational and medical cannabis are legal in 38 states and D.C., leaving only 12 states with prohibition still on the books. Nevertheless, strict age restrictions prevent adolescents and many young adults from possessing, procuring, or consuming it legally. This does not mean they abstain. Instead, young people consume, learn about, and procure cannabis outside the confines of normative society. State and local policies are experiencing rapid change, making it challenging to guide young people. With a focus on cannabis education for guardians and clinicians, the current chapter provides information about the use of cannabis during adolescence and young adulthood. Readers are provided a primer on cannabis and cannabis policy. Aging and cannabis use are then discussed with a focus on adolescence and young adulthood. The chapter concludes with recommendations for guardians and healthcare providers as they navigate the use of cannabis during adolescence.
Navigating Parenting Challenges
Authors: Singha Ranjit
Published: May 2024

A comprehensive and collaborative approach involving institutions, mental health professionals, parents, and educators is imperative in addressing adolescent addiction. Stakeholders make valuable contributions to the recovery process by engaging in coordinated treatment, fostering open communication, providing family counselling, addressing educational and emotional needs, and cultivating supportive environments. The collective endeavour promotes resilience, thereby guaranteeing immediate and enduring achievements. The convergence of shared responsibilities, ongoing support, and comprehension of the intricate nature of adolescent addiction generates a formidable catalyst for constructive transformation. The collective endeavour provides families and adolescents with optimism, restoration, and a more promising trajectory.
Navigating Teen Parenthood
Authors: Maddox Dretona
Published: May 2024

This chapter delves into the multifaceted sociocultural, educational, and psychological facets of teen parenting, exploring the disparities in youth outcomes. Despite a global decline in teen pregnancies, significant variations persist due to systemic gaps in education, healthcare, and socioeconomic support. It highlights the profound influence of parenting on the educational and emotional well-being of teen parents and their offspring, examining stress, financial obstacles, and social support as key barriers to adolescents' educational achievements. The dual role of teen parents as both learners and mentors to their children is discussed, alongside the critical nature of economic and social support systems. The narrative underscores the resilience of teen parents and calls for diversified, reformative support programs that holistically address their educational and psychological needs.
A Shattered, Lost, and Helpless Girl Found Her Way to a Promising Future
Authors: Salem Somaya
Published: May 2024

This chapter tells the narrative of a young Afghan girl determined to change the world for the better and inspire her generation and the world. However, the political circumstances of her country had a devastating impact on her life. She had to overcome numerous obstacles to reach her life milestones. Resilience, patience, and diligence enabled her to conquer life's challenges. This chapter intends to advise people from war-torn countries, particularly Afghan girls, on how to fight for their aspirations and speak up for their rights.
Capturing the Narratives of Escape and Resilience
Authors: Khan Saad Ullah , Sadat Fahim , Khan Sadaf
Published: May 2024

This scholarly inquiry explores the narratives of escape and resilience among Afghan refugees in Nordhausen (Germany), employing a multidisciplinary approach. Utilizing qualitative methods, particularly open-ended structured interviews, the study illuminates the psychosocial dynamics and lived experiences of Afghan refugees. It seeks to unravel the complexities of migration, decode reasons for leaving one's country, and understand asylum-seeking processes. The research identifies adaptive mechanisms and coping strategies, shedding light on socio-cultural, economic, and political factors shaping refugee narratives. Ethically sensitive, culturally responsive engagement underscores respect for refugee voices and agency. Narratives underscore the significance of agency, resourcefulness, and community networks. The study emphasizes the role of host-country policies and social structures in shaping refugee lives. This research bears implications for academia and policy, offering insights into refugee dynamics and factors facilitating successful integration amid the global refugee crisis.
Pioneering Education for Afghan Girls in a Time of Crisis
Authors: Behnood Ahmad Vali
Published: May 2024

This chapter explores ALPA's initiative to sustain education for Afghan girls, detailing its history, exile post-Taliban, and the growth of a robust online program for 500+ students. Despite the 70% exile of Afghan academics, ALPA engages educators to teach law and English, highlighting its vision for global collaboration. The concise narrative delves into challenges faced by Afghan girls in online education and ALPA's commitment to overcoming obstacles, concluding with the inspiring story of hope, resilience, and collective efforts in exile.
Planning the Big Escape
Authors: Wardak Mimla
Published: May 2024

This chapter recounts a poignant and inspiring narrative of resilience and personal growth in Afghanistan's political instability. The author's journey began at the American University of Afghanistan, where education became a symbol of defiance and optimism during the Taliban's rise. Education and empowerment remain the author's priorities despite the COVID-19 pandemic and political instability. The narrative vividly recounts the author's harrowing experiences of evacuation, the transition to life in Bishkek at the American University of Central Asia, and the author's eventual relocation to the United States to attend Bard College. The journey explores resilience, personal growth, and the relentless search for freedom and empowerment. This chapter celebrates family, self-discovery, and the resilience of optimism and persistence in the face of adversity, demonstrating the tenacity of individuals who pursue education and improvement.
Planning the Big Escape
Authors: Ahmadi Hamidullah , Mohammadi Gul Hasan
Published: May 2024

In the wake of the collapse of the Islamic Republic of Afghanistan by the Taliban in mid-August 2021, the lives of Hamidullah Ahmadi and Gul Hassan Mohammadi, two friends and classmates from the American University of Afghanistan (AUAF), took an unexpected turn. As the country fell into the hands of the Taliban, they faced many challenges that challenged their resilience and determination. Among the chaos and uncertainty, Hamidullah and Gul Hassan struggled to maintain their studies, jobs, and personal lives. The security situation deteriorated rapidly, making it increasingly difficult for them to pursue their dreams. However, undiscouraged by the hardships they faced, they embarked on a journey of determination and unwavering hope.
The Extraordinary Journey of AUAF Students From Despair to Hope
Authors: Fayaz Setha , Majeed Ahmad Suhaib
Published: May 2024

This chapter narrates the remarkable journey of students from the American University of Afghanistan (AUAF) following the Taliban's takeover in August 2021. The evacuation, initiated amidst the chaos at Hamid Karzai International Airport, and finally getting completed two years later, encountered numerous challenges. The narrative details the phased evacuation process, where AUAF students were dispersed to different countries in Asia, such as Kyrgyzstan, Iraq, and Qatar. The chapter delves into the mental health concerns that emerged, exploring the anxiety and uncertainty faced by students as they grappled with the abrupt regime change, the efficacy of online learning, and the challenges of continuing education amid geopolitical upheaval. The narrative also highlights the resilience of female students who faced numerous obstacles, including delays, flight cancellations, and the imposition of restrictive travel norms. The chapter captures the inspiring resilience of AUAF students, emphasizing their unwavering commitment to education amidst adversity.
A Futuristic Perspective
Authors: Manoharan Geetha , Rao C. V. Guru , Nivedha M.
Published: May 2024

Due to AI, libraries have changed operations and user service swiftly. AI is becoming more important in education and research. Organizational improvements have enhanced product quality, consumer behavior prediction, inventory management, and AI data analysis. Mobile phones and search engines employ AI. Libraries may become big data hubs, analyze data, and provide remote access. Ability-enhancing AI is employed. Libraries read books and other materials to visually challenged persons using AI-driven text-to-speech technology. Library staff can focus on research because AI can perform regular chores. This chapter describes AI-assisted library administration. Most science fiction and movies include intelligent machines. AI is now commonplace. Several sectors need automation prep. Library AI development is slower than other institutions. Schools increasingly include it in their programs. Library AI development is studied. Librarians' automation-era potential and problems must be considered. This chapter covers librarianship's many obligations and opportunities.
Ethical Considerations and Privacy Concerns in AI-Enabled Libraries
Authors: Kavak Ali
Published: May 2024

The primary aim of this chapter is to discuss the ethical dilemmas and privacy concerns that the adoption of artificial intelligence technologies in libraries may bring.In particular, it addresses how artificial intelligence can be used in library services and the associated risks, such as bias, discrimination, lack of transparency, and violations of data privacy. Also explores how artificial intelligence systems can impact human-machine interaction and the potential for replacing library staff.
Innovation Characteristics Considered by Top World Universities' Librarians Adopting AI
Authors: Tomiuk Daniel , Zuccaro Cataldo , Öncel Aslı Gül , Plaisent Michel , Benslimane Younes , Bernard Prosper
Published: May 2024

This chapter aims to present to the readers the point of view of the managers of the world top universities' libraries as compiled by topuniversityranking.com. After an introduction presenting the special relevance of the academic libraries and the importance of the respondents, an analysis of data is conducted to verify the application of Rogers theory in the special context of AI. The survey used the standard scales from the theory and applies them to the introduction to AI, after qualifying respondents in terms of knowledge. The theory explains the adoption by using five factors affecting innovation: relative advantage, compatibility, compatibility, complexity, trialability, and observability. Since AI is a relatively new technology in many libraries, a better understanding of the leaders will be beneficial.
AI and Personalised Grading Criteria
Authors: Ahmed Sajeel , Zaki Abira , Bentley Yongmei
Published: May 2024

The chapters discuss the potential of artificial intelligence (AI) in transforming higher education assessment, grading, and feedback processes, enabling personalized interventions, data analysis, and deeper insights into student performance. The chapter discusses the significance of real-time learning in higher education, focusing on virtual teaching platforms and AI-powered assessment methodologies. It evaluates AI-based assessments, machine learning algorithms, and natural language processing techniques.
Future Horizons
Authors: Al Harrasi Nasser , Salah El Din Mohamed
Published: May 2024

This chapter explores the transformative impact of artificial intelligence (AI) on various research domains. The chapter highlights the leading role of AI research platforms in the development of AI in research practices. In addition, the chapter describes the fundamental concepts of AI powered tools such as generative artificial intelligence and large language models. The narrative extends to AI integration in modern research practices, spotlighting its use in hypothesis formulation, generation of research questions, and data analysis. AI's contributions to data analysis in many fields are explored, particularly in automating processes and generating insights. The discussion further explores several AI applications in various research domains such as RPA, Semantic Scholar, and DeepChem. However, potential bias and transparency are main challenges of AI-powered applications. Therefore, it is imperative to champion explainable AI and human-in-the-loop approaches to improve confidence. The chapter recommends further interdisciplinary collaboration between researchers and AI developers.
Strategies and Considerations of Implementing AI in Higher Education
Authors: Al Harthy Khoula , Al Hasani Sulaiman
Published: May 2024

AI and its tools and applications are continuing to reshape our world in general and the educational landscape in particular. This book chapter examines ways to improve teaching, learning, and administrative elements of higher education by integrating and implementing AI techniques. This chapter aims to provide insights into how higher education institutions can use AI's tools to enhance and enrich teaching and learning aspects as well as the administrative processes and procedures by taking strategic steps. Discuss the possible advantages, challenges, and ethical issues of various AI tools and applications as well as the tactics that can be used to achieve them. The chapter structure will be as complete strategy steps which are, investigation, analysis, evaluation, and recommendation.
Adaptive CNN Classifier for Remote Water-Body Detection and Quality Assessment
Authors: Gautam Swati , Patel Vivek
Published: May 2024

This chapter focusses on adaptive convolutional neural network (ACNN) classifier, an innovative approach that tackles the challenges of constrained time, cost, and lacking accuracy faced by the conventional classification methods. Preservation of disappearing ponds and streams is crucial for sustainable water management, where remote-sensing analysis plays a pivotal role. Deep learning (DL) emerges as a potent solution, addressing these limitations effectively. ACNN based on DL is validated using the GaoFen image dataset (GID) and employs adaptive normalization for precise classification of small water bodies among larger ones. ACNN ensures rapid training without compromising the accuracy. The computation and assessment of water quality index (WQI) guides specific actions, enabling the water resource management to care for acceptable water areas, fostering biodiversity and fisheries. Conversely, areas falling outside these standards could be treated by Regional Municipal Corporation, facilitating ecological balance, pollution control, flood prevention, and ensuring public water supply.
Integrating Computational Wisdom
Authors: Rubidha Devi D. , Natarajan Venkatanathan
Published: May 2024

This study employs deep learning and machine learning to critically analyze the significance of ensemble approaches in earthquake prediction. It examines research that has utilized ensemble techniques to enhance prediction resilience, emphasizing the value of boosting, bagging, and random forests. The analysis includes a discussion of the impacts of hyperparameter tuning, ensemble diversity, and the combination of multiple models. The chapter highlights the growing trend of merging seismic and non-seismic precursors to improve forecasting capabilities. Advances in data integration techniques and interdisciplinary models are reviewed, along with multidisciplinary approaches that incorporate numerous sources of data. This chapter focuses on the development and deployment of early warning systems that use both seismic and non-seismic data to predict earthquakes. It also suggests the need for standardized data formats and cooperative efforts to overcome difficulties in data integration and standardization.
Examining the Role of IoT and Cloud Computing in Achieving Sustainable Development Goals
Authors: Abaee Mahdieh , Saeedi Mohsen , Taherdoost Hamed
Published: May 2024

In the pursuit of global sustainability, the combination of the internet of things (IoT) and cloud computing (CC) emerges as a powerful catalyst. This integration plays a crucial role in addressing the significant challenges outlined in the Sustainable Development Goals (SDGs) and promises positive impacts across various sectors. This exploration thoroughly examines the connections between IoT and CC, uncovering their potential contributions to sustainable development. As the authors explore this topic, they highlight how these advanced technologies pave the way for a more interconnected and sustainable future, providing solutions to complex issues such as healthcare, clean energy, and climate action. This chapter aims to present a more detailed understanding of the implications and applications of integrating IoT and CC for global sustainability in a clear and accessible manner.
IoT and Cloud Computing for Sustainable Development Goals in Industry 4.0
Authors: Abaee Mahdieh , Saeedi Mohsen , Taherdoost Hamed
Published: May 2024

Technology is driving an industrial revolution. “Industry 4.0” (I4.0) signifies the determination to lead this transition. Moreover, there is growing interest in a developing subject that has the potential to bring about systematic changes and achievement of the Sustainable Development Goals (SDGs) of the United Nations, which represent an extensive strategy designed to promote sustainable solutions for dealing with the primary challenges confronting the global community. This study conducted a comprehensive review of existing literature to determine the potential contributions of two technological enablers, namely the internet of things (IoT) and cloud computing (CC), which refers to integrating Industry 4.0 technologies towards achieving SDGs. The review portfolio comprises 100 peer-reviewed articles examining the interconnected or independent relationship between IoT and CC concerning sustainability. This study conducts a bibliometric analysis to explore the impact of CC and the IoT on the SDGs.
Biodiversity Conservation, Internet of Things in Environmental Science, Deep Learning
Authors: Sharma Manoj Kumar , Poonguzhali M. , Sandepogu Prashanthi , Logeswaran S. , Das Abhijeet , Myilsamy Sureshkumar
Published: May 2024

Biodiversity conservation is crucial in addressing environmental degradation and climate change. The integration of IoT technologies and deep learning can revolutionize environmental science and conservation efforts. The chapter discusses the foundational concepts of biodiversity conservation, IoT's fundamentals, and deep learning's role in analyzing vast datasets. IoT devices collect data at various scales, while deep learning algorithms analyze this data to identify patterns and predict ecological trends. The chapter also addresses ethical considerations, challenges, and future directions in using digital technologies for biodiversity conservation, emphasizing the importance of interdisciplinary collaboration and technological innovation in safeguarding Earth's biodiversity for future generations.
Smart Energy Systems-Integrated Machine Learning, IoT, and AI Tools
Authors: Komala C. R. , Basha Mehfooza Munavar , Farook S. , Niranchana R. , Rajendiran M. , Subhi B.
Published: May 2024

The integration of renewable energy sources and AI-driven solutions is revolutionizing the energy landscape, offering efficiency, sustainability, and innovation. This chapter explores the interplay between renewable energy sources and AI-driven solutions, highlighting its role in forecasting, real-time monitoring, predictive maintenance, and demand response. Comparative studies between traditional and novel energy technologies highlight the potential for cleaner, more efficient alternatives. Challenges of integration complexity, data privacy, and scalability are discussed, while a vision of future directions includes holistic energy systems, autonomous energy networks, and collaborative innovation. By harnessing AI's capabilities and embracing innovative power generation methods, the energy sector can create a resilient, sustainable, and intelligent energy future.
Methods, Techniques, and Application of Explainable Artificial Intelligence
Authors: Dumka Ankur , Chaudhari Vaibhav , Bisht Anil Kumar , Rawat Ruchira , Pandey Arnav
Published: May 2024

With advancement in machine learning, the use of machine learning has been increased, and explainable artificial intelligence (XAI) has emerged as an area of research and development for addressing the opacity and complexity of machine learning models. This chapter has proposed the overview of the current state of explainable artificial intelligence with highlighting its significance, disadvantages, and its potential applications in different fields. This chapter explores several explainable artificial techniques ranging from post-hoc methods like SHAP, LIME to decision tree and rule-based systems. This chapter also focusses on complexity and interpretability of a model.
Food Supply Chain Management, Logistics, and Ecosystems in the Internet Economy
Authors: Gopalan Balaji , G. S. Vijaya , Tiwary Abhinav
Published: May 2024

In agriculture and farm produce, food manufacturing and food supply chain involve the use of raw materials in the agriculture and farming production, processing, and packaging of goods. The produce is then to be hygienically packed and transported for retail distribution and wholesale markets. Studies have also discussed the relevance of integrating social and environmental impact metrics into the food supply chain sector. Other challenges include food production costs, transportation, and the processing of tons of food waste. Customer awareness and activism is also becoming relevant. A complete life cycle assessment of the food industry becomes necessary. Circular economies and green supply chains are becoming relevant in maintaining the efficiency and economic growth of the food sector. The internet of things, data science, and blockchain management are facilitating efficiency, traceability, and safety of agricultural farm food supply. This chapter provides a theoretical study, a survey and also a study of problem solving methods in production and operations management.
States, Sustainable Development, and Multilateral Environmental Agreements
Authors: Yigit Sureyya
Published: May 2024

If the internet were a state, it would be the sixth largest consumer of energy and the seventh largest emitter of CO2 on the planet. Facing an ongoing climate change emergency, the collapse of biodiversity, and the depletion of resources, everyone must rethink their models. Within such a perspective, digital technology becomes much more than a technical tool as it allows us to develop new ways of working, of obtaining information, of acting and making new forms of mobilization, collaboration, and sharing possible. Facing such a major challenge, states have begun to mobilise their diplomatic efforts in the service of an ecological and social transition. But under what conditions? This chapter sheds light upon how multilateral environmental agreements seek to find a solution towards maintaining sustainable development and foreseeing a resource efficient economy.
The Role of Artificial Intelligence (AI) in the Development of Smart Cities
Authors: Thakur Anusha
Published: May 2024

Rapid urbanization is leading to an imbalance in the environment owing to improper resource usage and increased pollution. One of the latest trends includes awareness of greener and more equitable cities. Sustainable trends are expected to offer various benefits that contribute significantly to the economy and society with minimized environmental health risks related to urban living. These offer improvements in water and air quality, mitigation of impacts from extreme events, and reduction of noise pollution. With the recent advancements in the artificial intelligence (AI) algorithm and IoT hardware, the applicability of AI in the environmental sector, those within the energy (for instance, smart grids), monitoring, and agricultural domains are expected to witness an increase. The study emphasizes different strategies, opportunities, and risks for developing smart cities. It contemplates the role of AI as a data-driven approach to maximizing energy efficiency at an unprecedented level.
Exploring Teacher Knowledge Research in School-Based Agricultural Education
Authors: Rice Amber
Published: May 2024

The purpose of this chapter is to explore current research in content knowledge and pedagogical content knowledge for school-based agricultural education teachers. Research in pedagogical content knowledge in the agricultural education discipline remains limited, despite its persistence in the literature as a vital knowledge base for teaching effectiveness. This chapter establishes the need for this line of inquiry, explores research focusing on preservice and practicing teacher populations, and provides recommendations for future research in this space.
Agricultural Mechanics in SBAE Teacher Preparation
Authors: Byrd Alex Preston , Edgar Don W. , Granberry Tyler , Anderson Ryan G.
Published: May 2024

Agricultural mechanics has been a mainstay and a highly sought-after content area in school-based agricultural education (SBAE) programs across the nation because it allows the opportunity for students to receive hands-on instruction. Agricultural education teachers are tasked with knowing a plethora of agricultural content, but the area that concerns the most teachers is agricultural mechanics. It can be daunting for a pre-service teacher to learn how to operate numerous machines and hold diversified skills in laboratories before being able to teach secondary students how to use them safely. Another substantial concern is maintaining student safety, and teachers may not feel confident in their ability to teach agricultural mechanics content while providing a safe environment. Research has shown a need for improving agricultural mechanics instruction for pre-service teachers and professional development for in-service SBAE teachers to help increase teacher competence and self-efficacy to teach agricultural mechanics.
Interdisciplinary Agriculture, Food, and Natural Resources With Next Generation Science Standards
Authors: Ray Nicole , Gorter Erin , Giannone Lauren
Published: May 2024

Agriculture and traditional science education intersect in agriscience courses at high schools across the state and nation in widely varied applications. Despite the introduction of the Next Generation Science Standards (NGSS) in 2012, practicing agriculture, food, and natural resource (AFNR) teachers and teacher educators are still learning how to implement NGSS alongside their career pathway and cluster standards in a way that is interdisciplinary. This chapter reviews literature addressing the integration of NGSS and AFNR as a mechanism for enhancing agriscience education.
Marketing Strategies for Medical Tourism in India Amongst Gulf Countries
Authors: Gupta Hemant , Sonkar Anand Kumar
Published: May 2024

Medical tourism is known as a phenomenon where millions of patients a year from all over the world travel across international destinations in order to obtain various forms of healthcare. Most of these patients are known to travel from developed countries to developing countries, looking for highly invasive medical treatments to lesser invasive and recreational medical treatment. The main objective of this research is to try and understand the importance of marketing medical tourism in India. This research mandated registering the observations of the medical tourists from Gulf countries to find answers to how the attitudes and behaviors of patients towards the concept of medical tourism influence their decision to become a medical tourist. The authors interviewed patients from the UAE through questionnaires that address the objective of the research. The authors noted that the primary drivers of medical tourism to India are the country's highly skilled medical professionals, as well as its extensive medical facilities and reasonably priced treatments.
Forecasting Ozone Levels in Morocco
Authors: Bekkar Abdellatif , Hssina Badr , Douzi Samira , Douzi Khadija
Published: May 2024

Ozone pollution poses a significant environmental and health challenge in Marrakech, Morocco, intensified by urban and industrial growth. This study compares two statistical models, SARIMA and Facebook Prophet, for accurate O3-level forecasting in Marrakech. Through time series analysis, we assess their performance using metrics like MAE, MAPE, and RMSE. The findings highlight the Facebook Prophet model's superior accuracy, attributed to its better handling of seasonality and adaptability to unusual events. This research aids environmental and public health efforts in Marrakech by offering insights into ozone trends, supporting informed policymaking to combat ozone pollution.
From Microalgal Biomass to Biohydrogen
Authors: El-Moustaqim Khadija , Mabrouki Jamal , Hmouni Driss
Published: May 2024

The rising influence of greenhouse gas (GHG) emissions from burning fossil fuels on climate change has led to a demand for clean energy. The only consequence of H2's combustion is water vapor, making it a clean energy source. As a clean energy source, hydrogen contributes significantly to energy and environmental sustainability and helps mitigate the world's energy problem and climate change. Microalgae have recently been found to hold tremendous promise for producing biodiesel and biohydrogen. Under certain conditions, sunlight is used by green microalgae to split water particles, resulting in the production of molecular hydrogen and oxygenation. With an emphasis on green microalgae, this review outlined possible algal strains for hydrogen production. In addition, a comprehensive review procedure aimed at presenting the importance of using microalgae to produce green hydrogen. More significantly, this review included an overview of present constraints and potential future directions for the sustainable synthesis of biohydrogen from microalgae.
Lemna gibba L
Authors: Gourchane Farah , El Hourch Abderrahim
Published: May 2024

In light of the world's energy challenge and the scarcity of traditional energy resources, Morocco is taking the initiative to become an African leader in the water, energy, and food sectors. It is against this backdrop that this research focuses on the way in which biomass can be used as an environmentally-friendly alternative that makes the wheel of the circular economy turn. This study presents the importance of using Lemna gibba. L (Duckweed), well known for its high biomass production, as an alternative source of energy (biofuel production) as well as animal and human food (up to 30% protein source), after having successfully contributed to its main function of phytoremediating wastewater through its ability to bioaccumulate. This study is therefore a practical application of economic and ecological Bio Tech that can be adopted.
Recent Approaches for Mitigating Climate Change in Agriculture
Authors: Hussain Saddam , Sharif Umer , Hadeed Muhammad Zakwan , Raza Aamir , Aman Muhammad Kashif , Safdar Muhammad , Habib Nasir , Munir Muntaha
Published: May 2024

Climate change is posing significant challenges to global agriculture, necessitating the development and adoption of sustainable practices. This chapter explores innovative approaches to mitigate climate change's impact on agriculture, including precision agriculture, agroforestry, conservation agriculture, and sustainable livestock management. It emphasizes the role of organic farming in improving soil health and enhancing carbon sequestration in agricultural soils. The chapter also discusses the importance of efficient water use in agriculture and the integration of renewable energy sources like solar, wind, and biomass. It also discusses the role of policy and economic instruments in facilitating the transition to sustainable practices, supported by case studies and success stories. The chapter concludes by identifying challenges faced in adopting these practices and providing insights into future directions and emerging technologies in this field.
Smart Environmental Monitoring and COVID-19
Authors: Hazimze Hassan , Gaou Salma , Akhlil Khalid
Published: May 2024

In this chapter, we explore the integration of artificial intelligence (AI) in enhancing environmental monitoring and managing the COVID-19 pandemic in Morocco. Utilizing AI-based event detection techniques, the authors extend their investigation from analyzing COVID-19 trends to applying predictive algorithms for environmental surveillance. This approach not only demonstrates AI's capacity in public health realms but also underscores its potential in environmental stewardship. Through detailed analysis, the authors illustrate how machine learning and data analytics significantly improve response strategies against pandemic threats and environmental degradation. Their findings reveal AI's critical role in developing resilient and sustainable monitoring systems, offering valuable insights for policymakers, researchers, and practitioners. This comprehensive study highlights the synergy between technological innovation and multifaceted crisis management, positioning AI as a cornerstone in advancing smart technologies for the betterment of public health and environmental sustainability in Morocco.
The Future of Water Management
Authors: Elshaikh Ahmed , Mabrouki Jamal , Mohamed Ahmed Abobaker Osman
Published: May 2024

This chapter delves into the incorporation of artificial intelligence (AI) technology in the realm of water management, emphasizing the potential for AI-driven decision support systems to bring about significant advancements in the monitoring and optimization of water resources. Through harnessing the power of AI algorithms and machine learning, water managers can enhance their decision-making processes, leading to more efficient resource allocation and overall improvements in water management practices. The chapter explores the transformative impact of integrating AI in water management, underscoring the opportunities it presents for promoting sustainability and effectiveness in the management of water resources. Furthermore, it highlights the promising future prospects for leveraging AI to revolutionize how water resources are monitored, analysed, and managed in a more sustainable and efficient manner.
Demystifying the Applications of Artificial Intelligence in Disaster Management
Authors: Jabbar M.A. , Begum Ruqqaiya , Tejasvi K.
Published: May 2024

A disaster is an unexpected event that disrupts a society's functioning while also harming the human environment and causing financial and material losses. It can be caused by either natural or human factors. In today's society, disasters are seen as the product of good planning, which leads to hazards and vulnerabilities. The term “disaster management” refers to the planning and management of disasters. Artificial intelligence is the ability of computers to perform the tasks that are usually done by humans. Artificial intelligence has been used in many industrial applications and also used in everyday interactions with technology. Artificial intelligence is being used in sustainable development, and disaster risk management. Machine learning and artificial intelligence models can be used in both ways in disaster management, i.e., pre-in disaster management and post-in disaster management.
Reviewing the Potential of GeoAI for Post-Earthquake Land Prospection
Authors: Ayoub Ouchlif , Hajji Hicham , Khalifi Hamid , Aitelkadi Kenza
Published: May 2024

The El Haouz 2023 earthquake caused extensive damage and displaced many people. A strategic roadmap is necessary for successful adoption of advanced technologies in the post-earthquake context. Land prospection is a critical step in reconstruction, but it can encounter obstacles such as limited land availability, geological and environmental risks, and social and economic constraints. This study explores the potential of geospatial artificial intelligence (GeoAI) in modernizing land prospection in post-earthquake contexts. A systematic review of literature identified previous GeoAI applications in post-earthquake interventions. The findings indicate that GeoAI can significantly contribute to land selection by providing accurate and real-time information on terrain features, hazards, and limitations. The study proposes a methodological framework for integrating GeoAI into post-earthquake land selection challenges based on lessons learned from prior experiences. The implications of this study are significant for decision-makers, practitioners, and researchers in the field.
Strategic Deployment of AI and Drones Enhancing Disaster Management in Natural Disasters
Authors: Singh Ravinder , Manoharan Geetha , Singh Samrath
Published: May 2024

The emergence of artificial intelligence (AI) and unmanned aerial vehicles (UAVs), commonly known as drones, has revolutionized disaster management practices, particularly in the context of natural disasters. In recent years, there has been a notable surge in the integration of innovative smart connected devices and platforms, including drones and UAVs, into the extensive network of the internet of things (IoT). The integration of AI and drones into the IoT network presents numerous challenges, opportunities, and implications for leveraging them in disaster management. This study offers an in-depth overview of the several applications of AI and drones in various stages of disaster management. In this review, the authors have explored the evolution of disaster management paradigms, the applications of AI and drones in disaster management, and the challenges and disruptive technologies shaping this field. The study reveals that the application of AI and drones has great potential in disaster management and can enhance the resilience of the community.
Blockchain Technology With the Internet of Drones (IOD) to Address Privacy and Security Issues in Disaster Management
Authors: Hussein Naser , Ben Ayed Hella Kaffel
Published: May 2024

The portability and automation of the internet of drones (IOD) have drawn increasing attention in recent years, and it is being used in various fields (such as military, rescue and entertainment, and disaster management). Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-effective and credible solutions for various real-world scenarios. since security and privacy are among the main concerns for the IOD, in this chapter, the authors perform a complete analysis of security issues and solutions for IOD security, analyzing IOD-related security in disaster requirements and identifying the newest improvement in IOD security research. This analysis explores many essential security technologies emphasizing authentication mechanisms and blockchain-powered schemes. Based on a rigorous review, the authors discuss the issues faced by current approaches in disaster management and offer future IOD security research areas.