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Author: Nasser Hamed Al Harrasi
Publisher: Information Science Reference
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
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. Utilizing AI for Assessment, Grading, and Feedback in Higher Education emerges as a beacon of guidance for academic scholars, policymakers, and administrators in response to this pressing dilemma. Through a meticulous analysis of contemporary literature, the book comprehensively explores AI's role in higher education. By delving into topics ranging from assessment automation to ethical considerations, it equips readers with the knowledge and insights needed to harness AI's transformative potential while mitigating its pitfalls. 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.
Author: Nasser Hamed Al Harrasi
Publisher: Information Science Reference
ISBN:
Category : Computers
Languages : en
Pages : 0
Get Book
Book Description
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. Utilizing AI for Assessment, Grading, and Feedback in Higher Education emerges as a beacon of guidance for academic scholars, policymakers, and administrators in response to this pressing dilemma. Through a meticulous analysis of contemporary literature, the book comprehensively explores AI's role in higher education. By delving into topics ranging from assessment automation to ethical considerations, it equips readers with the knowledge and insights needed to harness AI's transformative potential while mitigating its pitfalls. 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.
Author: Al Harrasi, Nasser Hamed
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 395
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Book Description
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.
Author:
Publisher: STAR SCHOLARS
ISBN:
Category :
Languages : en
Pages : 13
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Book Description
Author: Sharma, Ramesh C.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 570
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Book Description
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.
Author: Tarbutton, Tanya McGlashing
Publisher: IGI Global
ISBN: 1668498561
Category : Education
Languages : en
Pages : 407
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Book Description
Adjunct Faculty in Online Higher Education: Best Practices for Teaching Adult Learners is an essential handbook that delves into the pivotal role of adjunct faculty instructors in the booming realm of online higher education, with a specific focus on adult learners. As the demand for online education continues to soar, administrators, program directors, and adjunct faculty instructors alike are presented with unique challenges and opportunities. This comprehensive guidebook provides a wealth of knowledge and best practices for adjunct faculty instructors seeking to excel in online teaching roles. With a keen understanding of the competitive nature of the field, this book equips instructors with valuable insights that will set them apart in the ever-expanding landscape of higher education. University administrators and program directors will also find immense value in the book's content, which explores strategies for providing professional development to adjunct faculty and designing effective evaluations to support continuous improvement. Recognizing the paramount importance of the student experience, the book emphasizes the crucial role played by adjunct faculty in representing their respective institutions. Covering a wide range of topics, from the historical context of adult learners to the challenges associated with being an adjunct instructor, this handbook serves as a comprehensive guide for both aspiring and experienced adjunct faculty members. It offers practical advice on curriculum design, personnel development, and evaluation methods, empowering administrators and directors alike to make informed decisions in hiring and supporting adjunct faculty instructors.
Author: Ahmed, Zeinab E.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 426
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Book Description
The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.
Author: Calhoun, Christie F.
Publisher: IGI Global
ISBN: 1668482096
Category : Education
Languages : en
Pages : 310
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Book Description
Instructional design is pivotal to the landscape of education. Shifts in the educational landscape require different approaches to meet different needs. While it is important to realize that education in modern society looks much different than decades ago, it is essential to understand that the basic components of instructional design have not changed. No matter the classroom, all learning must begin with clear goals and objectives, learning activities, and assessments. From there, instruction is designed using a number of models or instructional designs as a foundation to develop learning. The Impact and Importance of Instructional Design in the Educational Landscape provides relevant theoretical instructional design models and the latest research findings related to these models. Covering topics such as co-teaching, lesson planning and delivery, and universal design for learning (UDL), this premier reference source is an excellent resource for pre-service and in-service teachers, teacher educators, instructional technology professionals, library media specialists, educational administrators, instructional leaders, researchers, and academicians.
Author: Nguyen, Tien V. T.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 528
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Book Description
In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
Author: Keengwe, Jared
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 305
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Book Description
As generative Artificial Intelligence (AI) tools become increasingly prevalent, it is crucial for educators to develop a nuanced understanding of the ethical implications associated with their use. Educators today face the critical task of navigating the pedagogical applications of AI and maximizing its potential to foster student learning. Creative AI Tools and Ethical Implications in Teaching and Learning is an insightful exploration of the ethical considerations surrounding the integration of AI in education. Educators may fear how it will rapidly transforming the educational landscape, but this book serves to support them and delves into the opportunities and challenges that arise when leveraging AI to enhance teaching and learning experiences. Creative AI Tools and Ethical Implications in Teaching and Learning goes beyond theory to offer practical strategies for integrating AI creatively into the classroom. From learning analytics and educational data mining to AI game activities and generative AI tools like ChatGPT, this book equips educators with the knowledge and resources to adapt AI technologies to support teaching and learning effectively. Moreover, the book explores the vital connection between AI and student assessment, highlighting how AI can enhance the evaluation process while maintaining fairness and objectivity. It concludes with an insightful glimpse into the future of AI in education, envisioning the transformative possibilities that lie ahead. This comprehensive guide provides educators, researchers, and policymakers with the tools they need to navigate the complexities of AI in education.
Author: Joe Feldman
Publisher: Corwin Press
ISBN: 1506391591
Category : Education
Languages : en
Pages : 282
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Book Description
"Joe Feldman shows us how we can use grading to help students become the leaders of their own learning and lift the veil on how to succeed. . . . This must-have book will help teachers learn to implement improved, equity-focused grading for impact." —Zaretta Hammond, Author of Culturally Responsive Teaching & The Brain Crack open the grading conversation Here at last—and none too soon—is a resource that delivers the research base, tools, and courage to tackle one of the most challenging and emotionally charged conversations in today’s schools: our inconsistent grading practices and the ways they can inadvertently perpetuate the achievement and opportunity gaps among our students. With Grading for Equity, Joe Feldman cuts to the core of the conversation, revealing how grading practices that are accurate, bias-resistant, and motivational will improve learning, minimize grade inflation, reduce failure rates, and become a lever for creating stronger teacher-student relationships and more caring classrooms. Essential reading for schoolwide and individual book study or for student advocates, Grading for Equity provides A critical historical backdrop, describing how our inherited system of grading was originally set up as a sorting mechanism to provide or deny opportunity, control students, and endorse a "fixed mindset" about students’ academic potential—practices that are still in place a century later A summary of the research on motivation and equitable teaching and learning, establishing a rock-solid foundation and a "true north" orientation toward equitable grading practices Specific grading practices that are more equitable, along with teacher examples, strategies to solve common hiccups and concerns, and evidence of effectiveness Reflection tools for facilitating individual or group engagement and understanding As Joe writes, "Grading practices are a mirror not just for students, but for us as their teachers." Each one of us should start by asking, "What do my grading practices say about who I am and what I believe?" Then, let’s make the choice to do things differently . . . with Grading for Equity as a dog-eared reference.
