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 a scholar specializing in Instructional Design and Technology, currently pursuing a Doctor of Philosophy (Ph.D.) at Virginia Tech. He holds a Master of Science in Education (Career and Technical Education - Business and Information Technology) from Virginia Tech (2021) and a Bachelor of Science in Business Management from Franciscan University of Steubenville (2019). His academic journey also includes studies in General Engineering at New River Community College. Mukuni serves as a Graduate Assistant for Global Engineering, Engagement, and Research (GEER) at Virginia Tech and has held leadership positions such as President of the Instructional Technology Students Association (ITSA). His expertise lies in curriculum decolonization, instructional technology, and multicultural education, which he has explored through scholarly publications and presentations at institutions such as the University of Zambia and the University of North Dakota. His research interests center on the role of oral traditions in multicultural instruction, particularly focusing on the history of the Leya people of Zambia. His work, Bedyango, contributes to the ongoing dialogue on educational inclusivity, cultural preservation, and the integration of indigenous narratives in academic discourse. Mukuni has also been involved in digital art exhibitions, instructional workshops, and international symposiums on education and curriculum development.
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Buch. Condition: Neu. Decolonizing AI Bias in Curriculum and Instructional Design | Candido Mukuni | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337378374 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136318503
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Buch. Condition: 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. Seller Inventory # 9798337378374