Critical Datafication Literacy : A Framework and Practical Approaches |
Autore | Sander Ina |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , 2024 |
Descrizione fisica | 1 online resource (295 pages) |
Collana | Digitalität und Bildung |
Soggetto topico | SOCIAL SCIENCE / Media Studies |
Soggetto non controllato |
Data Literacy
Datafication Digital Literacy Digital Media Digitalization Education Educational Research Internet Media Studies Media |
ISBN | 9783839473788 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Contents -- Acknowledgements -- List of Figures -- List of Tables -- 1. Introduction -- 1.1 Why Critical Data Education is Urgently Needed -- How Digital and Data Technologies Affect Our Lives -- The Knowledge Gap -- Responses to Challenges around Datafication -- Why Technical Skills Are Not Enough -- 1.2 Goals and Purpose of This Study -- Background of the Study -- The Study's Novel Approach to Researching Critical Data Literacy -- Goals of the Study -- The Purpose of the Research -- 1.3 Methodological Approach and Research Questions -- 2. Literature Review -- 2.1 Why Do We Need Education about Datafication? -- 2.1.1 Introduction into Critical Data Studies -- The Datafication of Our Societies -- Critical Data Studies - Research on Risks around Datafication -- 2.1.2 Citizens' Lacking Knowledge and Resignation -- Informed Consent? -- Lacking Knowledge -- Internet Users Feel Uncomfortable -- Resignation towards Data Practices -- Resignation as a Reasonable Response? -- 2.1.3 Working towards a More Informed Citizenry -- Calls for More Literacy and Public Involvement -- Data Activism's Role in Challenging Datafication and Raising Awareness -- Calls for More Literacy about Datafication -- More Knowledge = More Concern? -- 2.1.4 Conclusion -- 2.2 Educating about Data: (Critical) Data Literacies -- 2.2.1 How Is Data Literacy 'Traditionally' Understood? -- Data Literacy as Data (Science) Skills -- Creative Data Literacy Approaches -- 2.2.2 Fostering Critical Perspectives Through the Use of Data -- Critical Perspectives Originating from a Technical Background -- Applying Critical Pedagogy to Data Literacy Approaches -- Practical and Critical Approaches for Specific Audiences -- Concepts That Begin to Consider Datafication as Part of Active and Practical Approaches -- 2.2.3 Towards Critical Understanding of Datafication.
An Extended Definition of Big Data Literacy - D'Ignazio and Bhargava -- Educator's Data Literacy - Raffaghelli -- Critical Digital Literacy - Pötzsch -- Information Literacy in the Digital Age - Polizzi -- Data Citizenship - Carmi, Yates et al. -- Critical Digital and Data Literacies - Pangrazio et al. -- Own Initial Conceptualisation: Critical Big Data Literacy -- Preliminary Conclusion: Insights and Shortcomings of Existing (Critical) Data Literacies -- 2.2.4 Practically Implementing Critical Data Literacies -- 2.2.5 Conclusion -- 3. Theoretical Framework -- Introduction -- What is Education (Not)? -- 3.1 Education about (Digital) Media -- 3.1.1 Introduction - Terms, Concepts and Background of the Field -- 3.1.2 Baacke: A 'Classic' Approach to Media Literacy -- 3.1.3 Developments and Controversies in Media Literacy Concepts -- 3.1.4 Mihailidis: Critically Reflecting Media Structures and Enabling Agency -- 3.1.5 Digital Literacy -- 3.1.6 Aßmann et al.: Big Data Practices as a Challenge for Media Education -- 3.1.7 Conclusion -- 3.2 The Concept of (Politische) Bildung -- 3.2.1 Humboldt: The Original Concept of Bildung -- 3.2.2 Developments and Today's Understandings of Bildung -- 3.2.3 Politische Bildung - Origin, Developments and Key Text by Autorengruppe Fachdidaktik -- What is Politische Bildung and Where Does It Originate? -- "What Is Good Politische Bildung?" - Key Text by Autorengruppe Fachdidaktik -- 3.2.4 (Politische) Bildung about Big Data -- Bildung about Big Data -- Media Literacy as a 'Classic Goal' of Politische Bildung -- Politische Bildung about Big Data -- 3.2.5 Conclusion -- 3.3 Critical Pedagogy according to Paulo Freire -- 3.3.1 The Field of Critical Pedagogy -- 3.3.2 Paulo Freire's Work on Critical Pedagogy -- Life and Work of Paulo Freire -- Key Text - Pedagogy of the Oppressed. Key Relevant Aspects of Freire's CP: Dialogue, Critical Thinking and "Conscientização" -- Parallels to Bildung and Digital and Data Literacy -- 3.3.3 Applying Freire's Critical Pedagogy to Data Literacy Approaches -- Data Literacy Based on Freire - A Popular Approach -- Tygel and Kirsch: Contributions of Paulo Freire to Critical Data Literacy -- Markham: "Critical Pedagogy as a Response to Datafication" -- 3.3.4 Conclusion -- 3.4 Preliminary Framework for Critical Datafication Literacy -- 3.4.1 The Terminology -- 3.4.2 The Goals -- 3.4.3 The Content -- 3.4.4 The Implementation -- 4. Methods -- 4.1 Introduction and Project Design -- 4.2 Identifying, Analysing and Selecting Online Critical Data Literacy Resources -- 4.2.1 Content Analysis as a Method -- Limitations of Content Analysis -- 4.2.2 Conducting the Content Analysis -- Sources and Sampling -- Codebook and Coding Sheet -- Piloting -- 4.3 Learning from the Experts -- 4.3.1 Qualitative Interviewing and the Special Case of Expert Interviews -- Expert Interviews -- Strengths and Weaknesses of Expert Interviews -- 4.3.2 The Sampling Process and the Final Sample -- Purposive Sampling -- Sample Size -- Sample Selection Process -- The Final Sample -- 4.3.3 Developing the Interview Guide -- Cooperation with the "Civic Participation Project" by the Data Justice Lab -- Developing the Final Interview Guide -- 4.3.4 Preparing and Conducting the Interviews -- 4.3.5 Analysing the Interviews -- 4.4 Learning from the Educators -- 4.4.1 Qualitative Online Surveys -- Advantages of Self‐Administered Online Questionnaires -- The Special Case of Qualitative Online Surveys -- Limitations and Challenges of Qualitative Online Surveys -- 4.4.2 The Survey Sample -- Aiming at Diversity rather than Representativeness -- Finding the Sample -- The Final Sample -- 4.4.3 Developing the Questionnaire. Methodological Considerations about Questionnaire Design -- Translation of the Questionnaire -- Pilot Study -- Final Questionnaire -- 4.4.4 Analysing the Educator Survey -- Analysing the Closed and Single‐Line Questions -- Thematic Content Analysis of the Open Survey Questions -- 4.5 Knowledge Mobilisation: Developing the "Teaching about Data" Resource -- What is Knowledge Mobilisation? -- Mobilising Findings on Critical Data Literacy -- 4.6 Conclusion -- 5. Findings and Analysis -- 5.1 Online Critical Data Literacy Resources -- 5.1.1 Identifying Online Critical Data Literacy Resources -- 5.1.2 Characteristics and Origins of Critical Data Literacy Resources -- International and Multilingual Resources -- Diverse Creator Backgrounds -- Various and Unusual Formats -- The (No) One‐Size‐Fits‐All Approach -- 5.1.3 How Do the Resources Implement Critical Data Literacy? -- Many Popular Characteristics Identified -- Practical Advice for Data Protection - (Too much) Individual Responsibility? -- Other Types of Practical Advice -- Appealing Visualisations -- 5.1.4 Conclusion and Discussion -- Introducing the Topic of Datafication -- Novel Findings regarding the Resources' Origins and Formats -- Parallels between the Theory and Practice? -- 5.2 Goals, Strategies and Challenges of Critical Data Literacy Resource Creators -- 5.2.1 Creation Contexts of Critical Data Literacy Resources -- 5.2.2 Critical Data Literacy Resource Creators' Goals -- Awareness and Basic Understanding -- Thinking Critically about Datafication -- People Take Action -- 5.2.3 Creators' Strategies and Principles for Implementing Critical Data Literacy into Practice -- Creating Personal Involvement -- Resources Should Be Accessible and Fun -- Different Audiences Need Different Approaches -- Well‐Founded Decisions on Design and Content -- The Dilemma of Data Protection Advice. 5.2.4 Challenges and Practical Considerations in Developing Critical Data Literacy Resources -- Dilemma: Evaluating Resource While Protecting User Data -- Funding of Resources -- Sustainability -- Interest in Using Resource in an Educational Setting -- 5.2.5 Conclusion and Discussion -- Goals: What Does a 'Critically Data Literate' Citizen Look Like? -- Strategies and Principles for Implementing Critical Data Literacy into Practice -- Challenges and Practical Considerations -- 5.3 Teaching about Data - Educators' Perspectives, Experiences and Needs -- 5.3.1 Learning from Educators from Different Backgrounds -- 5.3.2 Educators' Experiences and Goals for Teaching about Digital and Data Technologies -- Teaching about Different Aspects of Digital Technologies and Datafication -- Topics and Goals of the Educators -- Key Goal of Educators: Understanding and Reflection of Digital Technologies -- From Basic Usage Skills to Digital Self‐Defence: Educators Aim for Practical Skills -- Supporting Learners in Taking Action -- 5.3.3 How Do Educators Teach about Digital and Data Technologies? -- Educators' Access to Information and Educational Material -- Resources Recommended by Educators -- Usefulness of Specific Formats for Educators -- Educators' Methods and Approaches for Teaching about Data -- Are Educators' Experiences in Line with Key Research Findings? -- 5.3.4 What Challenges Emerge? What Do Educators Need and Wish for? -- General Challenges When Teaching about Digital Technologies and Data -- Educators' Challenges, Needs and Wishes for Educational Resources -- Educators' Satisfaction with Existing Educational Resources: "Basically There Is Nothing" versus "The Problem […] Is the Abundance" -- Educator's Perspectives on Societal Challenges -- 5.3.5 Conclusion and Discussion. Educators Cover a Variety of Topics in Their Teaching - Often Aiming for Similar Goals as the Resource Creators. |
Record Nr. | UNINA-9910886976303321 |
Sander Ina | ||
Bielefeld : , : transcript Verlag, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Industrial Engineering and Operations Management : XXIV IJCIEOM, Lisbon, Portugal, July 18–20 1. / João Reis, Sandra Pinelas, Nuno Melão editors |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | ix, 296 p. : ill. ; 24 cm |
Soggetto topico |
90Bxx - Operations research and management science [MSC 2020]
91Bxx - Mathematical economics [MSC 2020] |
Soggetto non controllato |
Big Data Technology
Business Models Digital Literacy Education Human Resources Development Industrial engineering Logistics Operations Management Operations Management Education Product Management Production & Information Systems Service Science Sustainable Operations |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0126914 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Industrial Engineering and Operations Management : XXIV IJCIEOM, Lisbon, Portugal, July 18–20 2. / João Reis, Sandra Pinelas, Nuno Melão editors |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | ix, 272 p. : ill. ; 24 cm |
Soggetto topico |
90Bxx - Operations research and management science [MSC 2020]
91Bxx - Mathematical economics [MSC 2020] |
Soggetto non controllato |
Big Data Technology
Business Models Digital Literacy Education Human Resources Development Industrial engineering Logistics Operations Management Operations Management Education Product Management Production & Information Systems Service Science Sustainable Operations |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00126915 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Industrial Engineering and Operations Management : XXIV IJCIEOM, Lisbon, Portugal, July 18–20 1. / João Reis, Sandra Pinelas, Nuno Melão editors |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | ix, 296 p. : ill. ; 24 cm |
Soggetto topico |
90Bxx - Operations research and management science [MSC 2020]
91Bxx - Mathematical economics [MSC 2020] |
Soggetto non controllato |
Big Data Technology
Business Models Digital Literacy Education Human Resources Development Industrial engineering Logistics Operations Management Operations Management Education Product Management Production & Information Systems Service Science Sustainable Operations |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00126914 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Industrial Engineering and Operations Management : XXIV IJCIEOM, Lisbon, Portugal, July 18–20 2. / João Reis, Sandra Pinelas, Nuno Melão editors |
Edizione | [Cham : Springer, 2019] |
Pubbl/distr/stampa | ix, 272 p., : ill. ; 24 cm |
Soggetto topico |
90Bxx - Operations research and management science [MSC 2020]
91Bxx - Mathematical economics [MSC 2020] |
Soggetto non controllato |
Big Data Technology
Business Models Digital Literacy Education Human Resources Development Industrial engineering Logistics Operations Management Operations Management Education Product Management Production & Information Systems Service Science Sustainable Operations |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0126915 |
ix, 272 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|