Digital disruption in teaching and testing : : assessments, big data, and the transformation of schooling / / edited by Claire Wyatt-Smith, Bob Lingard, and Elizabeth Heck.
"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 indu...
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Place / Publishing House: | New York : : Routledge, Taylor & Francis Group,, 2021. ©2021 |
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Language: | English |
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Wyatt-Smith, Claire edt Digital disruption in teaching and testing : assessments, big data, and the transformation of schooling / edited by Claire Wyatt-Smith, Bob Lingard, and Elizabeth Heck. 1st ed. Taylor & Francis 2021 New York : Routledge, Taylor & Francis Group, 2021. ©2021 1 online resource (263 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Critical Social Thought Description based on print version record. Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- Series Editor's Introduction -- 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. 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). 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. "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-informed discussions and analyses on the place of big data in education, particularly as it pertains to large-scale and ongoing assessment practices moving into the digital space. 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"-- Provided by publisher. English Education Data processing. Big data. assessment practices;big data;Digital Disruption;diversity;education;international scholars;perspectives;Teaching;testing;transformation of schooling 0-367-49332-2 0-367-49335-7 Wyatt-Smith, Claire, editor. Lingard, Bob, editor. Heck, Elizabeth, editor. |
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English |
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Wyatt-Smith, Claire, Lingard, Bob, Heck, Elizabeth, |
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Wyatt-Smith, Claire, Lingard, Bob, Heck, Elizabeth, |
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TeilnehmendeR TeilnehmendeR TeilnehmendeR |
title |
Digital disruption in teaching and testing : assessments, big data, and the transformation of schooling / |
spellingShingle |
Digital disruption in teaching and testing : assessments, big data, and the transformation of schooling / Critical Social Thought Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- Series Editor's Introduction -- 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. 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). 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. |
title_sub |
assessments, big data, and the transformation of schooling / |
title_full |
Digital disruption in teaching and testing : assessments, big data, and the transformation of schooling / edited by Claire Wyatt-Smith, Bob Lingard, and Elizabeth Heck. |
title_fullStr |
Digital disruption in teaching and testing : assessments, big data, and the transformation of schooling / edited by Claire Wyatt-Smith, Bob Lingard, and Elizabeth Heck. |
title_full_unstemmed |
Digital disruption in teaching and testing : assessments, big data, and the transformation of schooling / edited by Claire Wyatt-Smith, Bob Lingard, and Elizabeth Heck. |
title_auth |
Digital disruption in teaching and testing : assessments, big data, and the transformation of schooling / |
title_new |
Digital disruption in teaching and testing : |
title_sort |
digital disruption in teaching and testing : assessments, big data, and the transformation of schooling / |
series |
Critical Social Thought |
series2 |
Critical Social Thought |
publisher |
Taylor & Francis Routledge, Taylor & Francis Group, |
publishDate |
2021 |
physical |
1 online resource (263 pages) |
edition |
1st ed. |
contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- Series Editor's Introduction -- 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. 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). 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. |
isbn |
1-00-304579-0 1-000-37742-3 1-003-04579-0 1-000-37737-7 0-367-49332-2 0-367-49335-7 |
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300 - Social sciences |
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371 - Schools & their activities; special education |
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3371.334 |
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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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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).</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"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-informed discussions and analyses on the place of big data in education, particularly as it pertains to large-scale and ongoing assessment practices moving into the digital space. 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