This book provides a significant contribution to the increasing conversation concerning the place of big data in education. This volume offers an innovative, practical, and international view of the future of current opportunities and challenges in education and the place of assessment in this context.
This book provides a significant contribution to the increasing conversation concerning the place of big data in education. This volume offers an innovative, practical, and international view of the future of current opportunities and challenges in education and the place of assessment in this context.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Claire Wyatt-Smith is Professor of Assessment and Literacy. She is the Director of the Institute for Learning Sciences & Teacher Education at the Australian Catholic University. Bob Lingard is a Professorial Fellow at the Institute for Learning Sciences & Teacher Education at the Australian Catholic University and Emeritus Professor of Education at the University of Queensland. Elizabeth Heck is a Research Assistant at the Institute for Learning Sciences & Teacher Education at the Australian Catholic University.
Inhaltsangabe
1: Transforming schooling through digital disruption: Big data, policy, teaching and assessment; 2: Automated knowledge discovery: Tracing the frontiers, infrastructures and practices of education and data science; 3: Artificial intelligence and machine learning: A practical and ethical guide for teachers; 4: The relationship between humans and machines in public policy; 5: Amazon Go for education? Artificial intelligence, disruption and intensification; 6: Pearson's digital transformation and the disruption of public education; 7: Costs of big data: Challenges and possibilities of cost-benefit analysis of ILSAs - Laura C. Engel and David Rutkowski; 8: Data infrastructures and the (ambivalent) effects of rising data interoperability: Insights from Germany; 9: Datafication and surveillance capitalism: The Texas Teacher Evaluation and Support System (T-TESS); 10: Governing by dashboard: Reconfiguring education governance in the Global South; 11: Next generation online assessments, technical democracy and responding to digital disruption; 12: 'Lenses on COVID-19' - Provocations
1: Transforming schooling through digital disruption: Big data, policy, teaching and assessment; 2: Automated knowledge discovery: Tracing the frontiers, infrastructures and practices of education and data science; 3: Artificial intelligence and machine learning: A practical and ethical guide for teachers; 4: The relationship between humans and machines in public policy; 5: Amazon Go for education? Artificial intelligence, disruption and intensification; 6: Pearson's digital transformation and the disruption of public education; 7: Costs of big data: Challenges and possibilities of cost-benefit analysis of ILSAs - Laura C. Engel and David Rutkowski; 8: Data infrastructures and the (ambivalent) effects of rising data interoperability: Insights from Germany; 9: Datafication and surveillance capitalism: The Texas Teacher Evaluation and Support System (T-TESS); 10: Governing by dashboard: Reconfiguring education governance in the Global South; 11: Next generation online assessments, technical democracy and responding to digital disruption; 12: 'Lenses on COVID-19' - Provocations
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