| TÃtulo : |
Innovative Assessment of Collaboration |
| Tipo de documento: |
documento electrónico |
| Autores: |
von Davier, Alina A., ; Zhu, Mengxiao, ; Kyllonen, Patrick C., |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2017 |
| Número de páginas: |
XIX, 330 p. 72 ilustraciones, 42 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-319-33261-1 |
| 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: |
LingüÃstica informática Visión por computador PsicologÃa del Trabajo y Organizacional Public policy Derecho Evaluación y pruebas PsicologÃa Ciencias sociales Pruebas y mediciones educativas. PsicometrÃa Educación |
| Clasificación: |
371.26 |
| Resumen: |
Este volumen editado proporciona una plataforma para que expertos de diversos campos presenten y discutan sus diferentes perspectivas sobre el tema del trabajo en equipo y la resolución colaborativa de problemas. Reúne a investigadores en equipos organizacionales, colaboración educativa, tutorÃa, simulación y juegos, asà como a aquellos involucrados en el modelado de procesos estadÃsticos y psicométricos. Este libro busca canalizar este conocimiento hacia avances en la medición y evaluación de habilidades cognitivas y no cognitivas de individuos y equipos. "La capacidad de comprender los estados, rasgos y hábitos de alumnos individuales, grupos colaborativos o equipos es un requisito previo necesario para guiar, adaptar y optimizar las experiencias de instrucción. El modelado y la evaluación de los alumnos que interactúan con compañeros, instructores humanos o computadoras. Los tutores basados ​​en tecnologÃa brindan una ventana a la efectividad de las herramientas y métodos de instrucción que se necesitan para mejorar continuamente sus experiencias de aprendizaje. Cualquier acción realizada por el tutor/maestro/instructor sin el conocimiento de quienes están a quienes enseña es un tiro en la oscuridad. dedicar sus vidas a ayudarnos a resolver los problemas difÃciles que encenderán la luz y nos permitirán adaptar fácilmente las experiencias de aprendizaje para cada persona". (Robert Sottilare, Ph.D., Laboratorio de Investigación del Ejército de EE. UU., CientÃfico de Entrenamiento Adaptativo). |
| Nota de contenido: |
Prologue: Building the Foundation for Innovations in Assessment: Interdisciplinary Measurement of Collaboration and Teamwork -- 1. Introduction: Innovative Assessment of Collaboration -- PART 1: Framework and Methods -- 2. The Assessment of Team Performance: Observation and Needs -- 3. Assessing Collaboration Within and Between Teams: A Multiteam Systems Perspective -- 4. Innovation in Team Interaction: New Methods for Assessing Collaboration between Brains and Bodies Using a Multi-Level Framework -- 5. Assessing Collaborative Problem Solving Through Conversational Agents -- 6. Assessment of Discussion in Learning Contexts -- 7. Collaborative Problem Solving Measures in the Programme for International Students Assessment (PISA) -- 8. Assessing and Teaching 21st Century Skills: Collaborative Problem Solving as a Case Study -- 9. Initial Steps towards a Standardized Assessment for Collaborative Problem Solving (CPS): Practical Challenges and Strategies -- 10. Exploring Dual Eye Tracking as a Tool to Assess Collaboration -- 11. Multimodal Behavioral Analytics in Intelligent Learning and Assessment Systems -- 12. Measuring Collaboration in Cross-Cultural Contexts -- 13. Inclusive Design of Collaborative Problem-Solving Tasks -- PART 2: Modeling and Analysis -- 14. Understanding and Assessing Collaborative Processes through Relational Events -- 15. Modeling Collaboration Using Point Processes -- 16. Dynamic Bayesian Network Models for Peer Tutoring Interactions -- 17. Representing Self-Organization and Nonstationarities in Dyadic Interaction Processes Using Dynamic Systems Modeling Techniques -- 18. Modeling Collaboration with Social Network Models -- 19. Network Models for Teams with Overlapping Membership -- 20. Linking Team Neurodynamic Organizations with Observational Rating of Team Performance. |
| Tipo de medio : |
Computadora |
| Summary : |
This edited volume provides a platform for experts from various fields to introduce and discuss their different perspectives on the topic of teamwork and collaborative problem solving. It brings together researchers in organizational teaming, educational collaboration, tutoring, simulation, and gaming as well as those involved in statistical and psychometric process modelling. This book seeks to channel this expertise towards advances in the measurement and assessment of cognitive and non-cognitive skills of individuals and teams. " The ability to understand the states, traits, and habits of individual learners, collaborative groups, or team is a necessary prerequisite to guiding, adapting, and optimizing instructional experiences. The modeling and assessment of learners interacting with peers, human instructors, or computer-based tutors provides a window into the effectiveness of instructional tools andmethods that is needed to continuously improve their learning experiences. Any action taken by the tutor/teacher/instructor without knowledge of those being taught is a shot in the dark. We applaud those who dedicate their lives to helping us solve the hard problems that will turn on the light and allow us to easily tailor learning experiences for every person." (Robert Sottilare, Ph.D., US Army Research Laboratory, Adaptive Training Scientist). |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Innovative Assessment of Collaboration [documento electrónico] / von Davier, Alina A., ; Zhu, Mengxiao, ; Kyllonen, Patrick C., . - 1 ed. . - [s.l.] : Springer, 2017 . - XIX, 330 p. 72 ilustraciones, 42 ilustraciones en color. ISBN : 978-3-319-33261-1 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: |
LingüÃstica informática Visión por computador PsicologÃa del Trabajo y Organizacional Public policy Derecho Evaluación y pruebas PsicologÃa Ciencias sociales Pruebas y mediciones educativas. PsicometrÃa Educación |
| Clasificación: |
371.26 |
| Resumen: |
Este volumen editado proporciona una plataforma para que expertos de diversos campos presenten y discutan sus diferentes perspectivas sobre el tema del trabajo en equipo y la resolución colaborativa de problemas. Reúne a investigadores en equipos organizacionales, colaboración educativa, tutorÃa, simulación y juegos, asà como a aquellos involucrados en el modelado de procesos estadÃsticos y psicométricos. Este libro busca canalizar este conocimiento hacia avances en la medición y evaluación de habilidades cognitivas y no cognitivas de individuos y equipos. "La capacidad de comprender los estados, rasgos y hábitos de alumnos individuales, grupos colaborativos o equipos es un requisito previo necesario para guiar, adaptar y optimizar las experiencias de instrucción. El modelado y la evaluación de los alumnos que interactúan con compañeros, instructores humanos o computadoras. Los tutores basados ​​en tecnologÃa brindan una ventana a la efectividad de las herramientas y métodos de instrucción que se necesitan para mejorar continuamente sus experiencias de aprendizaje. Cualquier acción realizada por el tutor/maestro/instructor sin el conocimiento de quienes están a quienes enseña es un tiro en la oscuridad. dedicar sus vidas a ayudarnos a resolver los problemas difÃciles que encenderán la luz y nos permitirán adaptar fácilmente las experiencias de aprendizaje para cada persona". (Robert Sottilare, Ph.D., Laboratorio de Investigación del Ejército de EE. UU., CientÃfico de Entrenamiento Adaptativo). |
| Nota de contenido: |
Prologue: Building the Foundation for Innovations in Assessment: Interdisciplinary Measurement of Collaboration and Teamwork -- 1. Introduction: Innovative Assessment of Collaboration -- PART 1: Framework and Methods -- 2. The Assessment of Team Performance: Observation and Needs -- 3. Assessing Collaboration Within and Between Teams: A Multiteam Systems Perspective -- 4. Innovation in Team Interaction: New Methods for Assessing Collaboration between Brains and Bodies Using a Multi-Level Framework -- 5. Assessing Collaborative Problem Solving Through Conversational Agents -- 6. Assessment of Discussion in Learning Contexts -- 7. Collaborative Problem Solving Measures in the Programme for International Students Assessment (PISA) -- 8. Assessing and Teaching 21st Century Skills: Collaborative Problem Solving as a Case Study -- 9. Initial Steps towards a Standardized Assessment for Collaborative Problem Solving (CPS): Practical Challenges and Strategies -- 10. Exploring Dual Eye Tracking as a Tool to Assess Collaboration -- 11. Multimodal Behavioral Analytics in Intelligent Learning and Assessment Systems -- 12. Measuring Collaboration in Cross-Cultural Contexts -- 13. Inclusive Design of Collaborative Problem-Solving Tasks -- PART 2: Modeling and Analysis -- 14. Understanding and Assessing Collaborative Processes through Relational Events -- 15. Modeling Collaboration Using Point Processes -- 16. Dynamic Bayesian Network Models for Peer Tutoring Interactions -- 17. Representing Self-Organization and Nonstationarities in Dyadic Interaction Processes Using Dynamic Systems Modeling Techniques -- 18. Modeling Collaboration with Social Network Models -- 19. Network Models for Teams with Overlapping Membership -- 20. Linking Team Neurodynamic Organizations with Observational Rating of Team Performance. |
| Tipo de medio : |
Computadora |
| Summary : |
This edited volume provides a platform for experts from various fields to introduce and discuss their different perspectives on the topic of teamwork and collaborative problem solving. It brings together researchers in organizational teaming, educational collaboration, tutoring, simulation, and gaming as well as those involved in statistical and psychometric process modelling. This book seeks to channel this expertise towards advances in the measurement and assessment of cognitive and non-cognitive skills of individuals and teams. " The ability to understand the states, traits, and habits of individual learners, collaborative groups, or team is a necessary prerequisite to guiding, adapting, and optimizing instructional experiences. The modeling and assessment of learners interacting with peers, human instructors, or computer-based tutors provides a window into the effectiveness of instructional tools andmethods that is needed to continuously improve their learning experiences. Any action taken by the tutor/teacher/instructor without knowledge of those being taught is a shot in the dark. We applaud those who dedicate their lives to helping us solve the hard problems that will turn on the light and allow us to easily tailor learning experiences for every person." (Robert Sottilare, Ph.D., US Army Research Laboratory, Adaptive Training Scientist). |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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