Reshaping The Paradigms Of Teaching And Learning

The need to move to the next stage of transforming the national educational platform from the industrial, regimented teaching system of the 20th century to the 21st century digital and blended learning system on a national scale. Rather than being a case for continued experimental pieces of reform, the book calls for a national expansion, implemented systemically, that replaces the outdated system. The book affirms that, while experiments of innovation are recognized and appreciated, the need to genuinely look at the nationwide transformation of the entire system will be a better position to ensure a rethinking of economic, academic and measurement interests.

Learning Spaces is an emerging field, fuelled by a growing interest in the relationships between learning and spaces in which it takes place, whether conceptual, personal, social, physical and/or virtual. It is concerned with making learning spaces that can better meet the needs of 21st century learners, academics and other related publics. In post-compulsory education this has opened up many interesting and important issues. There remains a lack of any theoretical understanding as to how such spaces should be conceived or designed; and hardly any critical discussion about effective frameworks for either the development of contemporary learning spaces or for assessing their impact on learning, teaching and research. At the same time, there is much debate about what the purposes of post-compulsory education should be, as well as concerns about where and by whom it should be provided. We therefore need to urgently improve our understanding of the interactions between learning and space. It is essential that we not only share perspectives, theories and methodologies but also critically reflect on our own different assumptions, and work together to build better models for post-compulsory education in the future. To help in this process this book is designed as a ‘critical reader’ that can enable researchers, academics, students and managers involved in Learning Spaces to share and engage with some key ideas, issues and texts. A central aim is to bring together some of the best research from across the many different disciplines concerned with learning spaces, including education, architecture, anthropology, human-computer interaction, estate planning and museum studies. Reshaping Learning is thus intended for anyone interested in, and wanting to think more about, learning spaces whether as users, clients or managers; or who are want to better understand interactions between the social and the spatial.

In the past few decades, the narrow intellectual foundations of the university have come under serious scrutiny. Previously marginalized groups have called for improved access to the institution and full inclusion in the curriculum. Reshaping the University is a timely, thorough, and original interrogation of academic practices. It moves beyond current analyses of cultural conflicts and discrimination in academic institutions to provide an indigenous postcolonial critique of the modern university. Rauna Kuokkanen argues that attempts by universities to be inclusive are unsuccessful because they do not embrace indigenous worldviews. Programs established to act as bridges between mainstream and indigenous cultures ignore their ontological and epistemic differences and, while offering support and assistance, place the responsibility of adapting wholly on the student. Indigenous students and staff are expected to leave behind their cultural perspectives and epistemes in order to adopt Western values. Reshaping the University advocates a radical shift in the approach to cultural conflicts within the academy and proposes a new logic, grounded in principles central to indigenous philosophies.

Forging closer links between university research and teaching has become an important way to enhance the quality of higher education across the world. As student engagement takes centre stage in academic life, how can academics and university leaders engage with their students to connect research and teaching more effectively? In this highly accessible book, the contributors show how students and academics can work in partnership to shape research-based education. Featuring student perspectives, it offers academics and university leaders practical suggestions and inspiring ideas on higher education pedagogy, including principles of working with students as partners in higher education, connecting students with real-world outputs, transcending disciplinary boundaries in student research activities, connecting students with the workplace, and innovative assessment and teaching practices. Written and edited in full collaboration with students and leading educator-researchers from a wide spectrum of academic disciplines, this book poses fundamental questions about learning and learning communities in contemporary higher education.

The rise of generative Artificial Intelligence (AI) signifies a momentous stride in the evolution of Large Language Models (LLMs) within the expansive sphere of Natural Language Processing (NLP). This groundbreaking advancement ripples through numerous facets of our existence, with education, AI literacy, and curriculum enhancement emerging as focal points of transformation. Within the pages of Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, readers embark on a journey into the heart of this transformative phenomenon. Generative AI's influence extends deeply into education, touching the lives of educators, administrators, policymakers, and learners alike. Within the pages of this book, we explore the intricate art of prompt engineering, a skill that shapes the quality of AI-generated educational content. As generative AI becomes increasingly accessible, this comprehensive volume empowers its audience, by providing them with the knowledge needed to navigate and harness the potential of this powerful tool.

In an era marked by the rapid integration of Artificial Intelligence (AI) into our lives, the discourse surrounding its implications has intensified. The Role of Generative AI in the Communication Classroom is a pioneering book that delves into the multifaceted dimensions of AI, specifically focusing on OpenAI's revolutionary Chat Generative Pre-Trained Transformer (Chat GPT) and its profound influence on the landscape of communication education. This book navigates the intersection of technology, education, and ethics, shedding light on the imperative need for a collaborative approach to shape AI's evolution. AI's potential to reshape industries and human roles is undeniable. Rooted in the intricate workings of AI and its hallmark, Chat GPT, this book meticulously dissects the dynamic relationship between humans and machines. The discourse extends beyond technology and into the realm of education, asserting that the power to mold AI's trajectory cannot rest solely in the hands of developers. While revealing AI's transformative potential in the communication classroom, the book conscientiously explores ethical concerns and biases, fostering a balanced approach to its integration. This book is instrumental to the ongoing discourse on AI's role in education. The call for ethical considerations, inclusivity, and regulation serves as a guiding compass for educators, students, developers, and policymakers alike. The book ensures a holistic perspective on AI's integration by addressing privacy, citation, voice ownership, and overall digital ethics.

The number of doctorates being awarded around the world has almost doubled over the last ten years, propelling it from a small elite enterprise into a large and ever growing international market. Within the context of increasing numbers of doctoral students this book examines the new doctorate environment and the challenges it is starting to face. Drawing on research from around the world the individual authors contribute to a previously under-represented focus of theorising the emerging practices of doctoral education and the shape of change in this arena. Key aspects, expertly discussed by contributors from the UK, USA, Australia, New Zealand, China, South Africa, Sweden and Denmark include: the changing nature of doctoral education the need for systematic and principled accounts of doctoral pedagogies the importance of disciplinary specificity the relationship between pedagogy and knowledge generation issues of transdisciplinarity. Reshaping Doctoral Education provides rich accounts of traditional and more innovative pedagogical practices within a range of doctoral systems in different disciplines, professional fields and geographical locations, providing the reader with a trustworthy and scholarly platform from which to design the doctioral experience. It will prove an essential resource for anyone involved in doctorate studies, whether as students, supervisors, researchers, administrators, teachers or mentors.

Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.