Assessment practices in education are undergoing a significant transformation with the integration of artificial intelligence (AI) technologies. This chapter explores the evolving role of AI in revolutionizing assessment methods across educational contexts. By automating various aspects of assessment, AI offers educators and learners unprecedented opportunities for efficiency, personalization, and scalability. AI-powered assessment tools enable the automation of grading, providing educators with more time to focus on providing personalized feedback and guiding student learning. Additionally, AI can analyze vast amounts of data to identify patterns in student performance, allowing for targeted interventions and adaptive learning experiences tailored to individual needs. Furthermore, AI facilitates the development of innovative assessment formats, such as simulations and interactive scenarios, which can better assess higher-order thinking skills and real-world application of knowledge.

With the rapid advancement of technology, education has undergone a transformative shift towards online learning platforms, blending traditional methods with innovative digital tools. This chapter explores the integration of technology in education, focusing on online learning platforms, blended learning approaches, and gamification techniques. Online learning platforms offer flexible and accessible avenues for knowledge acquisition, catering to diverse learning styles and schedules. Blended learning, combining face-to-face instruction with online components, provides a personalized learning experience, enhancing student engagement and outcomes. Gamification, leveraging game elements and mechanics in educational contexts, fosters motivation, collaboration, and skill development. By synthesizing these approaches, educators can create dynamic and interactive learning environments that meet the needs of today's learners.

The present article attempts to modelling and forecasting the volatility of the BSE-SENSEX Index returns of Indian stock market, using daily data covering a period from 1, July 1997 to 31, December 2015. The forecasting models that are considered in this study range from the symmetric GARCH (1,1) model to asymmetric GARCH models (including Exponential GARCH (1,1) and Threshold GARCH (1,1) models). On the basis of out of the sample forecasts and a majority of evaluation measures our result shows that the asymmetric GARCH models do perform better in forecasting conditional variance of the BSE-SENSEX returns rather than the symmetric GARCH model, confirming the presence of leverage effect. Our findings are consistent with the evidence of Banerjee and Sarkar (2006) and Srinivasan (2015) that reveals relatively asymmetric GARCH models are found superior in forecasting the conditional variance of Indian stock market returns rather than the parsimonious symmetric GARCH models.

The COVID-19 pandemic has disrupted traditional education, resulting in the rapid adoption of remote learning and necessitating adaptation. Consequently, hybrid learning has emerged as a viable alternative, combining in-person instruction with online components. This chapter examines the shift from classroom-based education to hybrid learning environments, emphasizing its advantages, difficulties, and implications for the future of education. Hybrid learning leverages the strengths of both face-to-face teaching and online learning, offering flexibility and expanding educational opportunities. By incorporating digital technologies and online platforms, educators can enhance student engagement, collaboration, and personalized learning. The combination of synchronous and asynchronous activities enables students to access resources at their own pace while maintaining social interaction. Additionally, hybrid learning cultivates digital literacy skills, equipping students for the requirements of the modern workforce.

The advent of advanced technologies has led to a profound transformation in the way humans interact with computers, giving rise to the interdisciplinary field of Human-Computer Interaction (HCI). This chapter explores the multifaceted impact of HCI on the economy, examining its influence on productivity, employment dynamics, market trends, and societal structures. The study synthesizes a comprehensive analysis of the positive and negative implications of HCI, shedding light on its role as a driver of economic growth and a catalyst for socio-economic change. The positive aspects of HCI on the economy are first explored, focusing on increased productivity and efficiency resulting from user-friendly interfaces, intuitive design, and seamless interaction between humans and machines. The adoption of HCI principles has not only streamlined business processes but has also empowered individuals with digital literacy, fostering innovation and entrepreneurship.

This chapter examines the evolving landscape of marketing in the contemporary business environment, with a particular focus on the sixth wave of marketing (Marketing 6.0). This wave represents a paradigm shift towards unprecedented customer-centricity, where businesses are compelled to align their strategies with the ever-changing expectations and preferences of the modern consumer. The chapter begins by providing a comprehensive overview of the historical progression of marketing, from its inception to the current era, highlighting the pivotal shifts that have shaped each phase. It then meticulously explores the core principles and characteristics that define the Marketing 6.0 era, emphasizing the pivotal role of technology, data analytics, and artificial intelligence in reshaping the marketing landscape. Furthermore, the chapter addresses the key challenges and opportunities faced by businesses as they strive to adopt customer-centric excellence in Marketing 6.0.