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Balancing AI and Pedagogy: The Future of Technology in Education
Education receives transformational changes through artificial intelligence elements we could not have predicted. The discussion now proceeds to show how existing smart systems transform established teaching practices and modify educational student procedures. The public can occasionally witness AI working through education setups that adapt lessons to individual students and chat-based tutoring services and predictive analytics programs which help early detection of academic issues. Such technology systems provide immediate feedback while alerting teachers about students needing help leading to an inevitable transformation of classroom environments. The present educational tools offer promising prospects to advance education into a different future framework. Natural language processing brings interactive experiences to lessons while virtual and augmented reality technologies present virtual simulations such as diverse environments. 2026, IGI Global Scientific Publishing. All rights reserved. -
Empowering Educators: Leveraging GenAI for Enhanced Lesson Planning and Student Engagement
These days tech is disrupting every sector out there - and yes, schooling is no exception. We aren't dreaming about mixing Generative AI (GenAI for short) into our classrooms anymore; however, there's the good and bad. Now educators are considered to be more than simple knowledge deliverers and are expected to be wedded to these new tools into specialized, engaging lessons. It's somewhat of a fine balance where GenAI can actually very much empower teachers and students, rather than drown them in tech. In general, this implies that we must consider carefully how GenAI should be used for its potential to function at its best. Here we discuss how GenAI can reconfigure teaching methods to improve both the quality and reach of education. Using GenAI well is ultimately a question of employing a sort of framework that combines brand new ideas with 'what works' in teaching. 2026, IGI Global Scientific Publishing. All rights reserved. -
AI-Based Chatbots for Education: A Framework for Ethical and Social Perspectives
AI-based chatbots in education are extensively used. This chapter discusses the challenges and benefits of AI-based chatbots for students, teachers, and administrators. The use cases of AI-based chatbots reveal benefits and concerns. This chapter provides ethical and social implications and discusses the framework for the effective implementation of AI-based chatbots in education. The framework offers ethical implications such as fairness, accountability, transparency, accuracy, and autonomy. Further, it mentions the social implications such as equity, mental health, social interaction, assessment and feedback, and privacy and security. Lastly, it gives the policy implications and future research directions. 2026, IGI Global Scientific Publishing. All rights reserved. -
AI-Based Real-Time Class Engagement Emotions Monitoring System
This chapter introduces an AI-based system for real-time monitoring of student engagement by analyzing emotional responses and attention levels during classroom sessions. Using a camera placed in front of students, the system applies computer vision algorithms to detect focus and distraction through eye movements and facial expressions. The core of the system is the Emo-Engage Analysis framework, which classifies engagement into three levels based on eye retention, duration of attentiveness, and indicators of positive emotional response. Drawing on recent research in emotional and attentional regulation, this method offers a fine-grained analysis of student engagement. Aggregated engagement data allow instructors to assess both individual and group dynamics throughout a lesson. These insights support the evaluation of teaching strategies and provide meaningful feedback on instructional impact, helping educators adapt their methods to foster more effective and emotionally supportive learning environments. 2026, IGI Global Scientific Publishing. All rights reserved. -
AI and Data Science: Transforming the Education Landscape
Artificial Intelligence (AI) and Data Science are revolutionizing the education landscape by providing innovative solutions for personalized learning, assessment, and administration. AI algorithms analyze vast amounts of educational data to identify student learning patterns, enabling tailored learning experiences that cater to individual needs. With predictive analytics, educators can identify at-risk students early, allowing for timely intervention and support. Moreover, AI-powered tools help streamline administrative tasks, freeing up teachers to focus more on instruction and less on paperwork. Data science also enables institutions to assess curricular effectiveness, ensuring continuous improvement of programs. As AI technologies evolve, they hold the potential to create a more engaging, adaptive, and efficient learning environment for all students, regardless of their backgrounds. 2026, IGI Global Scientific Publishing. All rights reserved. -
Blockchain for seamless and transparent smart hospitality operations
This chapter explores how blockchain technology is transforming the hospitality industry by enhancing data transparency, operational efficiency, and security. It highlights blockchain's role in securing payments, bookings, supply chains, and guest authorization processes. Through smart contracts and tamper-proof records, blockchain combats fraud and ensures compliance with regulatory standards. The chapter examines real-world use cases such as loyalty platforms that boost customer retention and brand trust. Despite challenges in scalability, operations, and regulations, leading hospitality firms have achieved improved guest interactions through blockchain integration. This chapter provides insights into safely adopting blockchain for hotel management, emphasizing its potential to build trust, streamline operations, and align with smart infrastructure systems. 2026, IGI Global Scientific Publishing. -
Advancing Supply Chain and Logistics With Emerging Technologies
Abstract The digital era is transforming industries, requiring businesses to innovate for cost- efficiency and scalability. This chapter explores emerging technologies like cloud computing, AI, automation, blockchain, and IoT across healthcare, retail, finance, and logistics. It examines digital transformation's impact on traditional business models, industry trends, and strategies for adaptation. Technology integration enhances competitive advantage through big data analytics, digital marketing, and continuous innovation. Sector- specific insights cover IoT and blockchain in supply chains, AI diagnostics in healthcare, omnichannel retail, and digital finance solutions. The chapter provides recommendations for fostering innovation, investing in technology, and forming digital partnerships. Concluding with key takeaways and a future outlook, it serves as a resource for executives, entrepreneurs, and industry professionals navigating digital transformation for efficiency. 2026 by IGI Global Scientific Publishing. All rights reserved. -
The Impact of Cost- Efficient Market Entry Strategies on the Growth and Sustainability of Digital Startups in Emerging Markets
In emerging markets, digital startups face numerous challenges related to market entry, including financial constraints, regulatory hurdles, and competitive pressures. Cost- efficient market entry strategies play a pivotal role in determining the growth trajectory and long- term sustainability of these startups. This chapter explores various cost- effective approaches such as bootstrapping, lean startup methodology, strategic partnerships, and digital- first go- to- market strategies. By examining realworld case studies and industry insights, this chapter highlights the impact of these strategies on startup growth and sustainability. Overall, this research contributes to the growing discourse on sustainable entrepreneurship by offering practical insights into scalable, cost- efficient business models. By identifying key enablers of success for digital startups in emerging markets, this study provides valuable recommendations for entrepreneurs, policymakers, and investors aiming to drive innovation and economic development in resource- constrained environments. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Intrusion detection system in a software- defined network
Software Defined Network (SDN) provides a solution to traditional network architecture's drawbacks, where closed equipment like switches and routers have tightly coupled hardware and software. SDN allows the creation of virtual networks controlled by software, providing benefits like rapid topology creation, enhanced security and performance isolation for different traffic types. It offers networking and management opportunities with programmability and flexibility by operating on a centralized control plane, separating data and control planes. The centralized controller, directs information flow through the interfaces to network elements. Despite advantages, SDN faces security threats like DoS attacks and intrusions. One of SDN's most promising aspects is its potential to enhance network security through Intrusion Detection Systems (IDS). IDS integration within SDN enables effective threat detection to safeguard devices and data. The chapter briefly outlines IDS implementation in SDN and demonstrates SDN's capacity to revolutionize modern network management and security. 2026, IGI Global Scientific Publishing. All rights reserved. -
Behavioral analysis of malicious activities in AI comprehensive analysis
The chapter provides a detailed overview of behavioral analysis evolved in AI security systems, from rule- based methods to advanced AI- driven approaches with verified threat prediction accuracy. Finance, healthcare, and telecommunications sectors show empirical evidence of modern systems by processing huge data volumes with exceptional threat detection capabilities. Research from Microsoft, IBM, and Google confirms AI- enabled security significantly reduces the time of threat identification compared to traditional approaches. The technical analysis reveals cloud-n ative solutions offer greater cost- efficiency and performance than on-premise alternatives, with measurable ROI improvements. The study examines behavioral analysis integration with machine learning, advanced persistent threat detection challenges, implementation strategies across different organizational contexts, and ethical considerations essential for developing effective security systems. 2026, IGI Global Scientific Publishing. All rights reserved. -
The Dark Side of Personalisation: Biases, Filter Bubble, and Impact on Advertising Effectiveness
This book chapter critically examines the intersection of personalized marketing, algorithmic bias and the need for inclusive marketing. Drawing on real-world examples from the beauty industry, ride-hailing services, food delivery platforms and OTT streaming services, it highlights how personalization reinforces existing biases. The black box models are inherently based on faulty data perpetuating discrimination for minority groups. Although machine learning systems deliver highly accurate, they fail to understand deeply rooted biases. The book chapter advocates for human centered AI, regular audits, serendipitous recommender systems and adoption of ethical and transparent frameworks. By integrating human judgment with AI technologies, marketers can foster inclusive and fair personalized marketing. 2026, IGI Global Scientific Publishing. All rights reserved. -
An introduction to design-based research
Design-Based Research (DBR) is an innovative methodology aimed at bridging the gap between theory and practice in educational settings. It emphasizes the iterative design and testing of interventions or educational innovations in real-world contexts, allowing researchers to collaboratively address complex problems in teaching and learning. Unlike traditional research methods that often focus solely on experimental or statistical analyses, DBR fosters a collaborative environment where educators, researchers, and stakeholders jointly engage in the design process. One of the core principles of DBR is its focus on understanding and enhancing learning processes, rather than merely measuring outcomes. By prioritizing collaboration and context, DBR offers valuable insights that can lead to scalable and impactful educational practices. Ultimately,Design-Based Research serves as a powerful tool for educators and researchers looking to innovate within the complex landscape of education, fostering a deeper understanding of how design can enhance learning experiences. 2025 by IGI Global Scientific Publishing. -
The Shift towards a Green Economy: Addressing the Sustainability Challenges of Technological Transformation
The Green Economy is a progressive framework for development and growth that promotes economic progress along with environmental stability, as well as prioritizing people's needs in their social life. It is also crucial operational tool to apply the de-growth notion, to promote development and clean technologies. The Chapter stresses the interest of sustainable technology development and calls for formal decision-makers and society actors to be aware about bottlenecks in this field. Five interconnected challenges structure discussions: uncertainty about green capitalism and subjects responsible state interventions to shape optimal mixes (the mix problem); and distributional issues. The chapter suggests that the `inter-connected' dimension of sustainable technological development brings into question traditional approaches to a relationship between private enterprise and successful innovation. It also highlights the importance of understanding and utilizing effective policy tools in varying institutional context, while raising a research agenda for further investigation. 2026, IGI Global Scientific Publishing. All rights reserved. -
Innovative implementation, ethical challenges, and future prospects of artificial intelligence in pharmaceuticals
Incorporation of pharmaceutical industry and artificial intelligence (AI) is revolu-tionizing patient care, drug development, and discovery. Drug interactions have been predicted using machine learning techniques, optimal molecular structures have been designed, and clinical trial lengths have been reduced. Ethical problems including violations of data privacy, biassed algorithms, and unequal access to AI-informed treatments have been highlighted in the face of these technologies Reacting to these problems, regulatory models have been debated and passed. It is well known that artificial intelligence can drive therapeutic developments and customize medicine. One expects continuous innovations in artificial intelligence technologies to change the pharmaceutical industry. Ethical standards must be reinforced and openness kept if artificial intelligence is to be fully embraced. Innovation must guide newly developing projects. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Regulating the Rise of Transformers in Global Healthcare: A Legal and International Law Perspective on AI Governance, Ethics, and Data Protection
With advances in healthcare, GPT, BioGPT and MedPaLM are helping doctors diagnose better, choose better treatments and engage with patients. Yet, these uses bring up significant problems related to privacy, understanding what the algorithms do, who is responsible for actions and gaining agreement. The paper examines global regulation on AI-for example, GDPR, HIPAA, India's DPDP Act, OECD AI Principles and UNESCO's AI Ethics Recommendation-and points out where gaps still exist, mainly in places with lower and middle incomes. Using both comparative studies and a focus on policies, it proposes common standards, specially designed rules for AI liability and ways to test ethical considerations. To provide secure, clear and equal use of AI in healthcare markets, the study proposes that countries come together to govern the technology. 2026, IGI Global Scientific Publishing. All rights reserved. -
Virtual influencers in Niche markets: Unlocking opportunities for targeted marketing
The need for an alternative approach to traditional influencer marketing is beginning to emerge due to the changing nature of the digital marketing environment where brands are starting to use Virtual Influencers (VIs) to target those consumers who are in unique and sometimes overlooked categories in particular niches. This chapter discusses how VIs provide the best opportunities to deliver very niche, first-party, data-driven content to narrow target constituencies of consumers. Since VIs have the power to shape exact personas that target audiences embrace or at least value - such as sustainability, luxury, tech, or subcultures - they can build emotionally touching experiences that regular marketing may overlook. The chapter focuses on how brands across the globe are implementing VIs in various sectors including sustainable fashion, luxury goods, innovative technology among others to portray how VIs positively affect industries reaching a niche but loyal audience. 2026, IGI Global Scientific Publishing. -
Digital transformation and sustainability in the age of industry 5.0: A strategic framework for business success
The fusion of digitalization and sustainability drives changes in retail operations during traditional purchases and e-commerce operations thus creating 5IR business models. 5IR establishes human-centered priorities as essential aspects along with automated systems and big databases. Modern e-commerce development has created new market space yet it struggles with serious environmental issues which are coupled with supply chain ethical problems as well as excessive carbon footprint and excessive packaging waste. The analysis studies how digitalization transforms retail operations and e-commerce by introducing sustainability elements in new business models. The segment evaluates the digitalization difficulties linked to data protection and environmental destruction through examination of modern efficiencies which combine organizational performance with social accountability. Analysis of present industrial trends along with case studies delivers business understanding about sustainable digital strategizing for long-term achievement through current market changes. 2026, IGI Global Scientific Publishing. -
The Evolving Role of AI in Cybersecurity Insurance: Enhancing Risk Assessment and Threat Detection
Cybersecurity insurance is a very important defense against data breaches, cyberattacks, and AI-powered system failures. As the use of AI becomes more widespread in business operations, insurers are now assessing emerging risks such as algorithmic errors, adversarial attacks, and data manipulation. As the cybersecurity insurance industry grows, organizations need to implement AI-specific safeguards to mitigate vulnerabilities. This study uses a mixed methods approach, by incorporating qualitative case studies for the integration of AI in claims processing with quantitative analysis on AI-driven risk assessment models. The method will be based on surveys, expert interviews, and real insurance claim analysis. Important goals involve the improvement of assessments of risk, underwriting, and claims processing through AI. Case studies of AI-enabled threat detection tools, including Darktrace, Microsoft Sentinel, and Google's phishing detection, demonstrate the AI impact in cybersecurity. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Sentiment analysis in customer relationship management
Modern networking conversations generate annotated metadata, necessitating a method for synthesizing insights from statistics. Emotion detection is crucial for practical conversations, distinguishing joy, grief, and wrath. Corpora are becoming the standard for human-machine interaction, aiming to make interactions feel natural and real. A paradigm that identifies debates and customer views can provide a human touch to these interactions. Researchers developed a machine learning framework for assessing emotions in English phrases, utilizing LSTM (Long Short Term Memory) perspective and real-time emotion recognition in idiomatic speech. Emotion recognition rule (ERR) is created using ontologies like Word Net and Concept Net, Naive Bayes, and Random Forest. Real-time analysis of written words and facial expressions significantly outperforms current algorithms and commandment classifiers in identifying emotional states. 2025, IGI Global Scientific Publishing. All rights reserved. -
Enhancing Cloud Security and Privacy With Blockchain Technology
This chapter explores blockchain's potential to address cloud computing security challenges. Despite cloud computing's scalability and cost efficiency, it faces risks like data breaches and regulatory non-compliance, as seen in the 2019 Capital One AWS breach. Blockchain's decentralized ledger, cryptographic hashing, smart contracts, and consensus mechanisms (e.g., PoW, PoS) enhance security through decentralized access control, secure storage, and intrusion detection. Privacy techniques like homomorphic encryption and zero-knowledge proofs protect data. Case studies, including IBM Food Trust and MedRec, show practical applications. However, scalability, interoperability, regulatory conflicts (e.g., GDPR), and high costs pose barriers. Solutions like sharding and layer-2 protocols aim to overcome these. Future research focuses on scalability, privacy, hybrid cloud integration, and AI-driven security. Blockchain strengthens cloud security but requires innovation to achieve widespread adoption. 2026, IGI Global Scientific Publishing. All rights reserved.