Visualizations and Dashboards for Learning Analytics / Sahin, Muhittin ; Ifenthaler, Dirk  

Público ISBD Ningún comentario para este registro. Título : Visualizations and Dashboards for Learning Analytics Tipo de documento: documento electrónico Autores: Sahin, Muhittin, ; Ifenthaler, Dirk, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXIX, 611 p. 146 ilustraciones, 115 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-81222-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Tecnologia Educacional  Habilidades de estudio  Aprendizaje  Psicología de  Educación Digital y Tecnología Educativa  Habilidades de estudio y aprendizaje  Teoría de la instrucción Clasificación: 371.33 Resumen: Este volumen editado llena los vacíos en la literatura existente sobre visualización y diseño de paneles para análisis de aprendizaje. Para ello, presenta consejos críticos a las partes interesadas y actúa como guía para una implementación eficiente. El libro cubre los siguientes temas: visualización y diseño de paneles para análisis de aprendizaje, visualización y preferencias de paneles de las partes interesadas, patrones de los estudiantes en el panel, usabilidad de las técnicas de visualización y el panel, diseño de paneles e intervención, aprendizaje y diseño instructivo para análisis de aprendizaje, cuestiones de privacidad y seguridad sobre el tablero, y direcciones futuras de visualización y diseño del tablero. Este libro será de interés para investigadores interesados ​​en análisis de aprendizaje y análisis de datos, profesores y estudiantes de instituciones de educación superior y diseñadores instruccionales, ya que incluye contribuciones de una amplia variedad de investigadores educativos y psicológicos, ingenieros, diseñadores instruccionales, científicos del aprendizaje, e informáticos interesados ​​en la analítica del aprendizaje. Nota de contenido: Part I: Theoretical and Technological Perspectives Linking Visualization and Dashboard Design -- Chapter 1: Visualizations And Dashboards For Learning Analytics: A Systematic Literature Review -- Chapter 2: The Current Landscape Of Research And Practice On Visualizations And Dashboards For Learning Analytics -- Chapter 3: Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications -- Chapter 4: Data Visualizations To Foster Self-Regulated Learning With Intelligent Programming Tutors -- Chapter 5: Effectiveness Of Dashboard And Intervention -- Chapter 6: What do MOOC Dashboards Present To Learners? -- Chapter 7: Powerful Student-Facing Dashboard Design Through Effective Feedback, Visualization, And Gamification -- Chapter 8: Visualizing Your Visualizations: The Role Of Metavisualization In Learning Analytics -- Part II: Practices and Evidence from the Learner's Perspective -- Chapter 9: User-Centered Design For A Student-Facing Dashboard Grounded In Learning Theory -- Chapter 10: Learning Analytics For Students -- Chapter 11:Students' Emotional Reactions To Social Comparison Via A Learner Dashboard -- Chapter 12: Navigational Behavior Patterns Of Learners On Dashboards Based On Assessment Analytics -- Chapter 13: Development And Evaluation Of A Student-Facing Gamified Learning Analytics Dashboard -- Chapter 14: Evaluating LA Dashboard In Secondary School And Higher Education: Fostering Goal Setting And Students' Self-Regulation -- Chapter 15: "We Know What You Were Doing" -- Part III:Practices and Evidence from the Educator's Perspective -- Chapter 16: Teachers' Perspectives On The Promises, Needs And Challenges Of Learning Analytics Dashboards: Insights From Institutions Offering Blended And Distance Learning -- Chapter 17: Learning Analytics Dashboard Use In Online Courses: Why And How Instructors Interpret Discussion Data -- Chapter 18: Expanding Teacher Assessment Literacy With The Use Of Data Visualizations In Game-Based Assessment -- Part IV:Systems Design for Learning Analytics Applications -- Chapter 19: Visualization Of Learning For Students: A Dashboard For Study Progress -- Chapter 20: Visualization of Student-Item Interaction Matrix -- Chapter 21: Discovering Generative Uncertainty In Learning Analytics Dashboards -- Chapter 22: Designing And Developing A Learning Analytics Dashboard To Support Self-Regulated Learning -- Chapter 23: User-Centred Guidelines For The Design Of Curriculum Analytics Dashboards -- Chapter 24: Learning Analytics Dashboards In Educational Games -- Part V:Future Directions of Visualization and Dashboard -- Chapter 25: Maximizing Student Achievement Through The Collection And Visualization Of Assessment Data -- Chapter 26: Linking Assessment Results And Feedback Representations In E-Assessment: Evidence Centered Assessment Analytics Process Model -- Chapter 27: Visualization And Dashboards: Challenges And Future Directions. Tipo de medio : Computadora Summary : This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners' patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Visualizations and Dashboards for Learning Analytics [documento electrónico] / Sahin, Muhittin, ; Ifenthaler, Dirk,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXIX, 611 p. 146 ilustraciones, 115 ilustraciones en color. ISBN : 978-3-030-81222-5 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Tecnologia Educacional  Habilidades de estudio  Aprendizaje  Psicología de  Educación Digital y Tecnología Educativa  Habilidades de estudio y aprendizaje  Teoría de la instrucción Clasificación: 371.33 Resumen: Este volumen editado llena los vacíos en la literatura existente sobre visualización y diseño de paneles para análisis de aprendizaje. Para ello, presenta consejos críticos a las partes interesadas y actúa como guía para una implementación eficiente. El libro cubre los siguientes temas: visualización y diseño de paneles para análisis de aprendizaje, visualización y preferencias de paneles de las partes interesadas, patrones de los estudiantes en el panel, usabilidad de las técnicas de visualización y el panel, diseño de paneles e intervención, aprendizaje y diseño instructivo para análisis de aprendizaje, cuestiones de privacidad y seguridad sobre el tablero, y direcciones futuras de visualización y diseño del tablero. Este libro será de interés para investigadores interesados ​​en análisis de aprendizaje y análisis de datos, profesores y estudiantes de instituciones de educación superior y diseñadores instruccionales, ya que incluye contribuciones de una amplia variedad de investigadores educativos y psicológicos, ingenieros, diseñadores instruccionales, científicos del aprendizaje, e informáticos interesados ​​en la analítica del aprendizaje. Nota de contenido: Part I: Theoretical and Technological Perspectives Linking Visualization and Dashboard Design -- Chapter 1: Visualizations And Dashboards For Learning Analytics: A Systematic Literature Review -- Chapter 2: The Current Landscape Of Research And Practice On Visualizations And Dashboards For Learning Analytics -- Chapter 3: Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications -- Chapter 4: Data Visualizations To Foster Self-Regulated Learning With Intelligent Programming Tutors -- Chapter 5: Effectiveness Of Dashboard And Intervention -- Chapter 6: What do MOOC Dashboards Present To Learners? -- Chapter 7: Powerful Student-Facing Dashboard Design Through Effective Feedback, Visualization, And Gamification -- Chapter 8: Visualizing Your Visualizations: The Role Of Metavisualization In Learning Analytics -- Part II: Practices and Evidence from the Learner's Perspective -- Chapter 9: User-Centered Design For A Student-Facing Dashboard Grounded In Learning Theory -- Chapter 10: Learning Analytics For Students -- Chapter 11:Students' Emotional Reactions To Social Comparison Via A Learner Dashboard -- Chapter 12: Navigational Behavior Patterns Of Learners On Dashboards Based On Assessment Analytics -- Chapter 13: Development And Evaluation Of A Student-Facing Gamified Learning Analytics Dashboard -- Chapter 14: Evaluating LA Dashboard In Secondary School And Higher Education: Fostering Goal Setting And Students' Self-Regulation -- Chapter 15: "We Know What You Were Doing" -- Part III:Practices and Evidence from the Educator's Perspective -- Chapter 16: Teachers' Perspectives On The Promises, Needs And Challenges Of Learning Analytics Dashboards: Insights From Institutions Offering Blended And Distance Learning -- Chapter 17: Learning Analytics Dashboard Use In Online Courses: Why And How Instructors Interpret Discussion Data -- Chapter 18: Expanding Teacher Assessment Literacy With The Use Of Data Visualizations In Game-Based Assessment -- Part IV:Systems Design for Learning Analytics Applications -- Chapter 19: Visualization Of Learning For Students: A Dashboard For Study Progress -- Chapter 20: Visualization of Student-Item Interaction Matrix -- Chapter 21: Discovering Generative Uncertainty In Learning Analytics Dashboards -- Chapter 22: Designing And Developing A Learning Analytics Dashboard To Support Self-Regulated Learning -- Chapter 23: User-Centred Guidelines For The Design Of Curriculum Analytics Dashboards -- Chapter 24: Learning Analytics Dashboards In Educational Games -- Part V:Future Directions of Visualization and Dashboard -- Chapter 25: Maximizing Student Achievement Through The Collection And Visualization Of Assessment Data -- Chapter 26: Linking Assessment Results And Feedback Representations In E-Assessment: Evidence Centered Assessment Analytics Process Model -- Chapter 27: Visualization And Dashboards: Challenges And Future Directions. Tipo de medio : Computadora Summary : This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners' patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

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