Digital Disruption in Teaching and Testing Assessments, Big Data, and the Transformation of Schooling
This book provides a significant contribution to the increasing conversation concerning the place of big data in education. Offering a multidisciplinary approach with a diversity of perspectives from international scholars and industry experts, chapter authors engage in both research- and industry-i...
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| Main Authors: | , , |
|---|---|
| Format: | eBook Book Publication |
| Language: | English |
| Published: |
New York
Routledge
2021
Taylor and Francis No Funder Information Available Taylor & Francis Taylor & Francis Group |
| Edition: | 1 |
| Series: | Critical Social Thought |
| Subjects: | |
| ISBN: | 1000377377, 9781000377378, 9780367493325, 0367493322, 9780367493356, 0367493357, 9781003045793, 1003045790, 9781000377422, 1000377423 |
| Online Access: | Get full text |
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Table of Contents:
- Introduction -- The Datafication of Teachers and Teaching: Providing Fertile Ground for Surveillance Capitalism -- Teacher Accountability and the T-TESS -- The T-TESS Ensemble -- Rendering Teacher Performance as Data: SAS Analytics Inc. -- Rendering Teacher Behavior as Data: Responsive Learning -- Rendering Teacher Experience as Data: NIET -- Discussion and Conclusion: The Possibilities for Surveillance Capitalism via the T-TESS -- 10. Governing by Dashboard: Reconfiguring Education Governance in the Global South -- Introduction -- Dashboards in Governance -- The Sociotechnical Imaginary of the GEPD -- The Imagined "System" -- The Imagined Classroom -- The Imagined User -- Conclusion and Discussion: Contradictions and Conundrums -- 11. Next Generation Online Assessments, Technical Democracy, and Responding to Digital Disruption -- Introduction -- Education Reform in Australia -- Problems with NAPLAN Census Testing -- The Online Formative Assessment Initiative -- The Logistics of Engagement -- New Possibilities: Owning Data and Responding to the Displacement of the Teacher -- Conclusion -- 12. "Lenses on COVID-19": Provocations -- Provocation #1: Digital Education in the Aftermath of COVID-19: Critical Hopes and Concerns -- Introduction -- Point 1: COVID-19 as cover for the Corporate Reform of Education -- Point 2: Establishing Alternate Agendas and Counter-narratives -- Conclusion -- Note -- Provocation #2: Education without Borders, Rule without Limit Nick Couldry -- Introduction -- The impact of COVID-19 -- Conclusion -- Provocation #3: The Electric "Shock" of the COVID-19 Crisis on Schooling -- Introduction -- New Global Policy Networks -- Pandemic Prototyping -- Private Infrastructures -- Pandemic Profit Making -- Conclusion -- Acknowledgement
- Provocation #4: Teachers, the Anti-heroes? The Global Pandemic Crisis and the Construction of Teachers as the Problem "Other" -- Introduction -- The Changing Narrative -- Conclusion -- Note -- Provocation #5: The COVID-19 Pandemic Creates Opportunities to Repair the Infrastructure of Public Education -- Glossary -- Index
- 5. Amazon Go for Education? Artificial Intelligence, Disruption, and Intensification -- Introduction -- Conceptual and Methodological Note: Speculation as beyond Gray Literature -- Intensification -- Datafication and Data Infrastructures -- Pre-automation and the Structuring of Professional Obsolescence -- Disruption -- Human-machine Learning -- Education Technology Platforms as Education Providers -- Literacies and Skills in a "Third Media Revolution" -- Avoiding Technological Somnambulism: Enlarging Our Considerations of AI in Education -- 6. Pearson's Digital Transformation and the Disruption of Public Education -- Introduction -- The Digital Transformation of the GEI -- Methods -- Charting the Promotion of Digital Learning in Pearson's "Open Ideas" Forum -- Digital Transformation and the Disruption of Teaching, Curriculum, and Assessment -- Disrupting Teaching -- Disrupting Curriculum and Instruction -- Disrupting Schools -- Conclusion -- 7. Costs of Big Data: Challenges and Possibilities of Cost-benefit Analysis of ILSAs -- Introduction -- US Participation in ILSAs: What Does It Cost? -- ILSA Costs in the US -- Possibilities and Challenges of Exploring Costs and Benefits of ILSAs -- Conclusion -- 8. Data Infrastructures and the (Ambivalent) Effects of Rising Data Interoperability: Insights from Germany -- Introduction -- The German "Context" of Datafying and Digitalizing Education -- Understanding the "Disruptive" Potential of Data Infrastructures: Three Examples from Germany -- The Transforming Infrastructures of Standardized Assessments -- The Transforming Infrastructures of State School Monitoring -- The Transforming Infrastructure of School Platforms and Learning Management Systems -- Conclusion and Outlook -- Disclosure Statement -- 9. Datafication and Surveillance Capitalism: The Texas Teacher Evaluation and Support System (T-TESS)
- Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- Foreword -- Acknowledgements -- Editor Biographies -- List of Contributors -- List of Abbreviations -- 1. Transforming Schooling through Digital Disruption: Big Data, Policy, Teaching, and Assessment -- Introduction -- Backdrop and Contexts -- Policy and Assessment Frames -- Education Policy -- Working Together - Policy and Assessment Frames in the Digital -- Digital Disruption in and through Assessment and Testing -- Digital Disruption in and through Big Data -- Digital Disruption in Teaching -- Digital Literacy and Data Literacy for Teachers -- Chapters in the Collection -- Conclusion -- 2. Automated Knowledge Discovery: Tracing the Frontiers, Infrastructures, and Practices of Education and Data Science -- Introduction -- Data Science Frontiers -- Education Data Science -- Precision Learning Engineering -- Inscribed Bodies -- Conclusion -- 3. Artificial Intelligence and Machine Learning: A Practical and Ethical Guide for Teachers -- Introduction -- What Is AI? -- What Is Machine Learning (ML)? -- How Is AI Used in Education? -- What Are the Ethical Concerns with AI and Some of the Governance Implications? -- 1. Awareness -- 2. Explainability -- 3. Fairness -- 4. Transparency -- 5. Accountability -- Conclusion -- 4. The Relationship between Humans and Machines in Public Policy -- Introduction -- Digital: It Is Not New, and It Is All around Us -- Problem Solving through AI -- Building Confidence to Address the Risks -- Action and Reaction -- Innovation, Regulation, and Oversight -- Conclusion: Better Public Policy through Digital -- 1. Create the Environment for Innovation -- 2. Nurture an Ethical Use Culture -- 3. Make Risk Your Friend -- 4. Success in the Digital Realm Relies on Structure

