NEP Policy Implementation Strategies in Education in India DOI
V. Vaithianathan, Dhiresh S. Shastri,

V. Nandakumar

et al.

Advances in educational marketing, administration, and leadership book series, Journal Year: 2024, Volume and Issue: unknown, P. 325 - 356

Published: Sept. 20, 2024

India's National Education Policy 2020 seeks to provide education that is inclusive and interdisciplinary. It entails updating curricula, educating teachers, utilizing technology, changing assessment procedures. In this chapter, the main elements of NEP 2020, such as vocational education, basic literacy, ECCE, well possibilities obstacles, have been discussed for implementation. also illustrates successful tactics using case studies real-world situations. The strong emphasis on value stakeholder engagement in promoting policy implementation guaranteeing ongoing monitoring explored. involvement stakeholders (educators, administrators, lawmakers, community) has discussed. achievable methods incorporating into Indian educational system are with goal motivating establishments advancing students' overall development.

Language: Английский

A Study on the Complex Nature of Higher Education Leadership DOI

M. Prabhuswamy,

Ruchi Tripathi,

M. Vijayakumar

et al.

Advances in library and information science (ALIS) book series, Journal Year: 2024, Volume and Issue: unknown, P. 202 - 223

Published: Feb. 19, 2024

This chapter explores the complex nature of Hispanic identity in higher education and engineering, highlighting its influence on cultural heritage, family values, education, socioeconomic factors. It highlights challenges faced by leaders, including underrepresentation, unconscious bias, limited opportunities, delicate balance between preserving assimilating into societal norms. Despite these challenges, leaders can contribute diverse perspectives, advocate for change, serve as inspirational role models. Strategies include continuous mentorship, diversity advocacy, pride celebration. Building inclusive work environments is crucial creating equitable educational professional landscapes, leadership a learning journey.

Language: Английский

Citations

46

Enhancing Consumer Behavior and Experience Through AI-Driven Insights Optimization DOI

N. Naveeenkumar,

Sreekanth Rallapalli,

K. Sasikala

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 35

Published: March 1, 2024

This chapter delves into the role of AI-driven behavioral analytics in understanding, predicting, and enhancing consumer experiences. It highlights integration analytics, experiences, predictive modeling reshaping market dynamics. The explains fundamental components emphasizing its significance understanding preferences decision-making processes. also discusses impact AI-powered on anticipating behaviors fostering proactive strategies. addresses ethical concerns like data privacy algorithmic biases. provides a guide for practitioners, researchers, businesses to harness AI's transformative potential contemporary markets.

Language: Английский

Citations

43

Circular Economy Digital Practices for Ethical Dimensions and Policies for Digital Waste Management DOI
V. Vijaya Lakshmi,

Manoj Mishra,

Jitendra Singh Kushwah

et al.

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 166 - 193

Published: May 15, 2024

Digital technology has revolutionized our lives, but it also presents a growing challenge: digital waste. This issue involves electronic, data, and obsolete devices, causing significant environmental social consequences. To tackle this, multi-faceted approach is needed, including ethical considerations, policy interventions, technological innovations, consumer behavior change. Ethical frameworks, strengthened regulatory eco-design, producer responsibility, circular economy principles are essential. Industry best practices innovations can reduce waste, while education change initiatives encourage informed habits. Sustainable require concerted effort from all stakeholders.

Language: Английский

Citations

37

Digital HR Implementation for Business Growth in Industrial 5.0 DOI
Sampath Boopathi

Advances in human resources management and organizational development book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: April 29, 2024

The chapter discusses the transformation of human resources (HR) in era Industry 5.0, highlighting importance digital HR implementation driving business growth. It strategic integration tools, analytics, and automation within functions to improve workforce agility, productivity, engagement. This benefits solutions, including talent acquisition optimization, performance management enhancement, learning facilitation, employee experience enrichment. emphasizes organizational change management, continuous innovation for successful adoption. By aligning strategies with 5.0 needs, businesses can drive sustainable growth, foster innovation, maintain a competitive edge global marketplace.

Language: Английский

Citations

33

Additive Manufacturing and 3D Printing Innovations DOI
M. D. Mohan Gift,

T. S. Senthil,

Dler Salih Hasan

et al.

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 255 - 287

Published: March 18, 2024

Additive manufacturing (AM), commonly known as 3D printing, has emerged a transformative technology with profound implications for multiple industries. The convergence of AM Industry 4.0 principles and advanced technologies given rise to 5.0, new era characterized by enhanced integration digitalization. This chapter explores the dynamic landscape within context highlighting research trends, innovations, challenges. Key developments include materials advancements, multi-material digital twins, bioprinting, AI-driven design, sustainability initiatives. 5.0's impact is felt globally, applications spanning aerospace, healthcare, fashion, beyond. Collaboration between academia industry, regulatory frameworks, pursuit sustainable practices are driving forces shaping future in 5.0.

Language: Английский

Citations

28

A Study on AI-ML-Driven Optimizing Energy Distribution and Sustainable Agriculture for Environmental Conservation DOI

J. Barnabas Paul Glady,

Sonia Maria D’Souza,

A. Parvathi Priya

et al.

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: May 15, 2024

The chapter examines how machine learning (ML) and artificial intelligence (AI) could be used to solve environmental problems throughout the world. It emphasizes crucial AI ML are optimizing energy distribution, including demand forecasting, improving smart grid performance, incorporating renewable sources. also covers use of methods sustainable agriculture, emphasizing predictive analytics for pest management, soil health monitoring, precision farming. highlights effectiveness resource encourages actions that ecologically friendly. ethical issues, societal ramifications, legal systems, synergies between agricultural solutions. imagines a day when advances led by will essential environmentally balanced planet.

Language: Английский

Citations

28

Fog Computing-Integrated ML-Based Framework and Solutions for Intelligent Systems DOI

R. Pitchai,

K. Venkatesh Guru,

Jayneel Gandhi

et al.

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 196 - 224

Published: March 18, 2024

The integration of fog computing and machine learning (ML) in digital healthcare has revolutionized patient care, operations, personalized treatment. This chapter explores the potential telemedicine, remote monitoring, It highlights its role addressing data processing challenges, enabling real-time analytics, ensuring secure transmission medical information. Key case studies demonstrate how these integrated solutions are driving innovation industry. combination ML offers a promising avenue for future healthcare, focusing on data-driven decision-making precision medicine.

Language: Английский

Citations

27

Study on Harmonizing Human-Robot (Drone) Collaboration DOI

Tejaswini A. Puranik,

Nazeer Shaik, Ramu Vankudoth

et al.

Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: Jan. 26, 2024

This chapter delves into the intricate dynamics and possibilities of fostering cohesive interactions between humans robots within collaborative environments. By examining current landscape human-robot collaboration, focus shifts towards identifying pivotal factors that facilitate seamless integration synergy these entities. Exploring technological advancements behavioral paradigms, this underscores significance intuitive interfaces, adaptive communication models, ergonomic design in augmenting cooperative interactions. Furthermore, it investigates challenges posed by varying cognitive capacities preferences, proposing strategies for harmonizing disparate elements to enhance efficiency effectiveness tasks. Through an interdisciplinary lens, work not only elucidates evolving engagements but also offers insights future trajectory environments where are paramount.

Language: Английский

Citations

24

AI and ML Adaptive Smart-Grid Energy Management Systems DOI

S. Saravanan,

Richa Khare,

K. Umamaheswari

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 166 - 196

Published: June 24, 2024

The chapter explores the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping smart energy management systems (SEMS) predicts innovations by 2030. It discusses AI principles optimization, predictive analytics grids, renewable integration through AI-driven strategies. also addresses critical aspects like maintenance, consumer-centric solutions, cybersecurity challenges, ethical considerations, regulatory frameworks for responsible implementation. By examining challenges prospects, it provides insights into dynamic future driven ML advancements.

Language: Английский

Citations

19

Machine Learning-Integrated Sustainable Engineering and Energy Systems DOI

M. Sarat Chandra Prasad,

M. Dhanalakshmi,

M. Mohan

et al.

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 74 - 98

Published: May 15, 2024

Machine learning (ML) has revolutionized various fields, including engineering, energy systems, and sustainability. This abstract explores the synergies between ML these domains, focusing on its optimization in predictive maintenance, consumption efficiency, smart grids. ML's role renewable forecasting, building management, materials science is also explored. It highlights impact supply chain optimization, environmental monitoring, sustainability assessments. The holistic approach extends to city initiatives infrastructure development, paving way for intelligent urban planning. enhances decision-making processes, enabling more resilient, efficient, sustainable practices engineering systems. exploration serves as a beacon researchers, practitioners, policymakers seeking innovative solutions at intersection of ML,

Language: Английский

Citations

18