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.

As artificial intelligence (AI) continues to increase, its impact on higher education presents immense opportunities and daunting challenges. Across campuses worldwide, educators grapple with integrating AI into academic practices, from grading to teaching methodologies. However, the widespread adoption of AI, fueled by models like ChatGPT and Google Bard, raises concerns about its potential to undermine the learning process and compromise academic integrity. This disruptive force demands urgent attention and informed strategies to navigate its complexities effectively. With contributions from leading experts across diverse disciplines, this book catalyzes interdisciplinary collaboration and innovation. By bridging the gap between AI specialists and higher education professionals, the publication has paved the way for a nuanced understanding of AI's implications and opportunities. Utilizing AI for Assessment, Grading, and Feedback in Higher Education is an indispensable resource for those seeking to navigate the AI revolution in academia with confidence and foresight, offering actionable recommendations and a roadmap for leveraging AI to enhance teaching, learning, and research in higher education.

Students often face challenges in a swiftly advancing Computer Science Education (CSE), where technologies evolve rapidly, and concepts unfold with overwhelming intricacies. As society becomes interwoven with technology, how essential is the integration of CSE into the educational framework to adequately equip future generations for the complexities of the digital era? Navigating Computer Science Education in the 21st Century advocates integrating CSE into curricula, underlining its crucial role in early childhood development. The book grapples with the challenge of introducing children to technology responsibly, addressing concerns about unmonitored screen time while emphasizing the necessity of evidence-based approaches for educators. Within these pages, effective teaching strategies are linked to successes in CSE. The book explores learner-centered teaching methodologies in computer science, emphasizing individualized instruction, active learning, and collaborative approaches. It evaluates the effectiveness of traditional lecture-based teaching against more innovative strategies such as game-based learning and collaborative approaches. By presenting studies that delve into the impact of these strategies on student engagement and motivation, the book equips educators with the insights needed to make informed decisions tailored to diverse learning environments.

From collaborative platforms to deep learning, from serious games to Massive Open Online Course’s (MOOCs), the array of digital tools is staggering. This ever-accelerating digital transformation necessitates a comprehensive understanding of how to harness these tools effectively for the benefit of learners and educators alike. With the educational metaverse emerging as a new frontier, the need for guidance, research, and insight is paramount. The challenge is clear: How can one navigate this intricate web of digital possibilities and create transformative educational experiences? Navigating Virtual Worlds and the Metaverse for Enhanced E-Learning offers a meticulously curated collection of original research and insights, serving as a guiding light in the complex world of digital learning. It not only identifies the challenges and opportunities presented by digital transformation but also provides concrete solutions and innovative approaches. Whether you are an academic scholar, an instructional designer, a learning data analyst, or an e-learning manager, this book is your indispensable companion on the journey to mastering digital education. It does not just offer theoretical frameworks; it unveils the latest empirical research findings, equipping you with the knowledge and tools needed to navigate the digital landscape effectively.

In today's educational landscape, a pressing issue looms: deeply entrenched within the system are the prevailing cultural norms that have historically perpetuated the dominance of white, middle-class values. This has, in turn, marginalized and stigmatized traditionally underrepresented student cultures as inherently deficient. As the United States educational system grapples with a dramatic increase in low-income, non-white, and linguistically diverse students, now is the time to confront these inequalities that undermine student achievement. This challenge has thrust teachers into the forefront, compelling them to embrace social justice practices in their classrooms as counternarratives. Supporting Activist Practices in Education emerges as a timely and essential solution to address this educational conundrum. Within the pages of this book, a compelling narrative unfolds—one that delves deep into the experiences of educators who actively employ teaching as a form of activism, transcending traditional norms. Teaching through activism, as defined in this volume, represents the courageous actions of educators who champion participatory citizenship for social justice within their classrooms, nurturing environments that foster critical thinking about the world. This book emphasizes the imperative of challenging and dismantling systemic injustices, and it underscores the pivotal role of social justice as a framework for effective pedagogical practices.

Makerere University started in 1922 as a humble technical school enrolling 14 day students of Carpentry, Building and Mechanics. Nine decades later, the University has made giant strides–enrolling over 35,000 students in over 145 study programmes hosted by nine colleges spread across various campuses. As one of the first higher education institutions in East and Central Africa, the university has had to contend with a multiplicity of issues, including relevance, curricula reform, community engagement and graduate employability; access, equity, massification and quality assurance; national politics, regulation, institutional autonomy and academic freedom; funding and financial management; student politics and activism; staff unionisation, management and brain drain; physical resources expansion, utilisation and maintenance; liberalisation, privatisation, commercialisation and internationalisation; Information and Communication Technology (ICT); and institutional leadership and integrity. Today, the University stands out proudly as a hallmark of innovation and excellence in teaching, research and community engagement, notwithstanding the challenges it has experienced over the years. As it celebrates 90 years, the higher education scholarly and policy fraternity take the opportunity to honour and continue the University’s tradition of scholarship and innovation — through contributing ideas for dealing with some of the challenges that the University and similar institutions are contending with. Although studies of Makerere University have been included, it must be understood that this book is not necessarily about the University. Additional studies have been drawn from Botswana, Ethiopia, Ghana, Kenya, Malawi, Nigeria, Tanzania and other institutions in Uganda.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala