We are now living in a revolutionary era shaped by artificial intelligence (AI) and rapidly evolving technology. Instructional technologists and educators stand at the forefront of this transformation, tasked not only with integrating AI into teaching and learning but also with critically examining the power structures, biases, and assumptions embedded within these systems. The intersection of AI and education has the potential to either reinforce colonial paradigms of knowledge or dismantle them, depending on how thoughtfully we design and apply these technologies. Decolonizing AI Bias in Curriculum and Instructional Design critically examines how AI shapes pedagogy, curriculum development, and instructional decision-making. This book advocates for equitable, inclusive design that resists algorithmic bias, promotes epistemic diversity, and centers marginalized voices in the era of intelligent systems. Covering topics such as cultural representation, learning ecologies, and equity-centered intelligent tutoring, this book is an excellent academic resource for graduate and doctoral students, educators, instructional technologists, policymakers, and more.
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Candido Mukuni is an instructional designer and researcher specializing in the design of innovative learning environments that bridge cultures, disciplines, and technologies. He earned his Ph.D. in Instructional Design and Technology from Virginia Tech in 2024, building on earlier studies in Business Management and Career and Technical Education. Dr. Mukuni’s work focuses on Collaborative Online International Learning (COIL), curriculum development, and the integration of instructional technology in higher education. He has published scholarship on global learning, oral traditions, and the decolonization of curricula, while also contributing as an editor for academic volumes on indigenous knowledge systems. With experience as a Graduate Assistant at Virginia Tech, Dr. Mukuni has supported faculty in online course design, conducted research on globally networked learning, and mentored students in instructional design practices. His academic and professional contributions reflect a commitment to advancing educational innovation, cultural preservation, and global collaboration in teaching and learning.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We are now living in a revolutionary era shaped by artificial intelligence (AI) and rapidly evolving technology. Instructional technologists and educators stand at the forefront of this transformation, tasked not only with integrating AI into teaching and learning but also with critically examining the power structures, biases, and assumptions embedded within these systems. The intersection of AI and education has the potential to either reinforce colonial paradigms of knowledge or dismantle them, depending on how thoughtfully we design and apply these technologies. Decolonizing AI Bias in Curriculum and Instructional Design critically examines how AI shapes pedagogy, curriculum development, and instructional decision-making. This book advocates for equitable, inclusive design that resists algorithmic bias, promotes epistemic diversity, and centers marginalized voices in the era of intelligent systems. Covering topics such as cultural representation, learning ecologies, and equity-centered intelligent tutoring, this book is an excellent academic resource for graduate and doctoral students, educators, instructional technologists, policymakers, and more. Bestandsnummer des Verkäufers 9798337378381
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