Human-Centered AI Design for Higher Education Sociotechnical Learning Ecosystems

Artificial intelligence (AI) is transforming higher education by reshaping teaching, learning, assessment, and academic support. As institutions increasingly adopt AI-powered tools, ensuring these technologies are designed around human needs, values, and experiences is essential. Human-centered AI promotes the development of transparent, ethical, inclusive systems that support rather than replace human decision-making. In educational settings, AI design must address both technical performance and broader social and educational impacts. This approach fosters trust, accessibility, equity, collaboration, and learner agency while addressing concerns related to privacy, bias, accountability, and digital well-being. Continued research and innovation can help create meaningful learning experiences and support the sustainable integration of AI across higher education. Human-Centered AI Design for Higher Education Sociotechnical Learning Ecosystems examines both the opportunities and limitations of AI-driven solutions in higher education, including critical perspectives on techno-solutionism. The book explores learning design strategies, equity-centered practices, and student autonomy while addressing key issues such as AI bias, inclusion, accessibility, data privacy, and ethical governance. Covering topics including algorithms, ethics and law, and STEM pedagogy, this volume serves as a valuable resource for educators, computer engineers, sociologists, academics, researchers, and scientists seeking to advance the responsible and effective integration of AI within educational environments.