Download Free Academic Integrity In The Age Of Artificial Intelligence Book in PDF and EPUB Free Download. You can read online Academic Integrity In The Age Of Artificial Intelligence and write the review.

Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity. The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the lines between authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics.
"The work delves into topics such as the role of AI in designing learning assessment activities and instruments, strategies for maintaining academic integrity in the context of technology, and the creation of an adaptive and resilient learning culture."--Page four of cover.
Artificial Intelligence and Academic Integrity, by April G. Dawson, is Aspen’s concise primer intended to increase student awareness of the protocols, possibilities, and ethical implications of using AI systems in their legal education studies, while also giving professors assurance that their students are informed of the same. AI is having a sudden and profound impact on the legal profession, as it has in virtually professions worldwide. Understanding how to leverage AI tools effectively and appropriately will give law school graduates a competitive edge among legal employers interested to hire tech-savvy young lawyers. But AI is also having a profound impact on the legal education experience. As more and more students seek assistance from ChatGPT and similar tools for their academic work, questions arise as to what they are gaining or sacrificing in the process; and whether, or at what point, using AI in academic work falls within the bounds of academic integrity. Such dramatic developments call for better knowledge and understanding of the ethical implications associated with using AI systems in law school. April G. Dawson explores the pros and cons of using powerful AI tools in law school while maintaining institutional standards for academic rigor and intellectual honesty in legal education—alongside students’ own values and developing sense of legal ethics. Professors and students will benefit from: Assurance that AIAI raises student awareness of the importance of 1) using generative AI tools like ChatGPT responsibly; and 2) understanding how academic integrity facilitates learning and prepares students to become ethically responsible in the practice of law; 3) researching and reading their school’s code of conduct, and 4) understanding the policies of individual professors with respect to the use of generative AI tools. Reflection: Professional Identity Formation (PIF), questions that prompt students to reflect on their own experiences with generative AI—both its useful applications for learning and practice, as well as the potential for using AI in ways that violate academic integrity and undermine principles of professional responsibility. Examples of individuals making choices and realizing the consequences of their decisions for a range of situations and ethical quandaries Case Studies feature summaries of recent landmark cases and discussion of law and policy. A concise overview of law-specific AI products, the tasks they perform, and the reasons for the legal profession’s measured approach to adopting them Incisive discussion of the potential for generative AI’s to significantly mitigate, though not fully address, the nation’s access to justice crisis
In these days of an ever-expanding internet, generative AI, and term paper mills, students may find it too easy and tempting not to cheat, and teachers may think they can’t keep up. What’s needed, and what Tricia Bertram Gallant and David Rettinger offer in this timely book, is a new approach—one that works with the realities of the twenty-first century, not just to protect academic integrity but also to maximize opportunities for students to learn. The Opposite of Cheating presents a positive, forward-looking, research-backed vision for what classroom integrity can look like in the GenAI era, both in cyberspace and on campus. Accordingly, the book outlines workable measures teachers can use to better understand why students cheat and to prevent cheating while aiming to enhance learning and integrity. Bertram Gallant and Rettinger provide practical suggestions to help faculty revise the conversation around integrity, refocus classes and students on learning, reconsider the structure and goals of assessment, and generally reframe our response to cheating. At the core of this strategy is a call for teachers, academic staff, institutional leaders, and administrators to rethink how we “show up” for students, and to reinforce and fully support quality teaching, learning, and assessment. With its evidentiary basis and its useful tips for instructors across disciplines, levels of experience, and modes of instruction, this book offers a much-needed chance to pause, rethink our purpose, and refocus on what matters—creating classes that center human interactions that foster the personal and professional growth of our students.
ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
In a world grappling with sustainability challenges, the service sector is crucial for both the global economy and achieving Sustainable Development Goals (SDGs). Despite its importance, the sector faces obstacles like unequal access, resource inefficiency, and the digital divide, hindering progress towards sustainability.Sustainable Development Goal Advancement Through Digital Innovation in the Service Sector offers a pioneering solution by exploring how digital technologies can drive SDG achievement in this sector, unveiling a transformative path toward sustainability. The book delves deep into the relationship between digital innovation and sustainable development, revealing challenges, opportunities, and strategies. It highlights how technologies like IoT, AI, and blockchain can revolutionize service delivery, enhance access, and promote resource efficiency. More than a guide, this book serves as a roadmap for policymakers, academics, business leaders, and changemakers, enabling them to leverage digital innovation's potential for a service sector that transcends limitations and aligns with SDGs.
Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.
The rise of ChatGPT has stirred intense conversations in education, raising concerns about the loss of traditional assessment methods. The increasing emphasis on examination-based evaluations has gained attention, leading educators to wrestle with the possible standardization of academic assessments. This one-size-fits-all approach not only jeopardizes the authenticity of the learning experience but also neglects the diverse talents and strengths of students. The pressing challenge is to align the changing technological environment with the need for assessment strategies that are both inclusive and effective. Cases on Authentic Assessment in Higher Education is a publication that acknowledges the challenge posed by technological disruptions and actively seeks to provide a solution. It stands as a resource for educators and administrators navigating the complexities of contemporary assessment. By advocating for a shift towards authentic assessments, the book not only addresses the concerns raised by ChatGPT but also provides a wealth of practical examples across diverse subject areas. These examples serve as a guide for educators, offering inspiration and adaptability to enhance their teaching methods and foster a more inclusive and engaging learning environment.