Teams as complex adaptive systems: Reviewing 17 years of research
PJ Ramos-Villagrasa… - Small group …, 2018 - journals.sagepub.com
At the turn of the century, Arrow, McGrath, and Berdahl portrayed teams as complex adaptive
systems (CAS). And yet, despite broad agreement that this approach facilitates a better …
systems (CAS). And yet, despite broad agreement that this approach facilitates a better …
Analyzing multivariate dynamics using cross-recurrence quantification analysis (crqa), diagonal-cross-recurrence profiles (dcrp), and multidimensional recurrence …
S Wallot, G Leonardi - Frontiers in psychology, 2018 - frontiersin.org
This paper provides a practical, hands-on introduction to cross-recurrence quantification
analysis (CRQA), diagonal cross-recurrence profiles (DCRP), and multidimensional …
analysis (CRQA), diagonal cross-recurrence profiles (DCRP), and multidimensional …
Calculation of average mutual information (AMI) and false-nearest neighbors (FNN) for the estimation of embedding parameters of multidimensional time series in …
Using the method or time-delayed embedding, a signal can be embedded into higher-
dimensional space in order to study its dynamics. This requires knowledge of two …
dimensional space in order to study its dynamics. This requires knowledge of two …
[HTML][HTML] What multimodal data can tell us about the students' regulation of their learning process?
Highlights•New data-capturing devices allow researchers trace a range of cognitive and
noncognitive processes.•We discuss and demonstrate how by data triangulating it is …
noncognitive processes.•We discuss and demonstrate how by data triangulating it is …
Physiological and behavioral synchrony predict group cohesion and performance
Interpersonal synchrony contributes to social functioning in dyads, but it remains unknown
how synchrony shapes group experiences and performance. To this end, we designed a …
how synchrony shapes group experiences and performance. To this end, we designed a …
Multimodal data to design visual learning analytics for understanding regulation of learning
The increased interest in multimodal data collection in the learning sciences demands for
new and powerful methodological and analytical techniques and technologies. It is …
new and powerful methodological and analytical techniques and technologies. It is …
Emotional regulation in collaborative learning: When do higher education students activate group level regulation in the face of challenges?
This study focuses on emotion regulation in the challenging situation of collaborative
learning. The aim is to explore what type of challenges trigger group-level emotion …
learning. The aim is to explore what type of challenges trigger group-level emotion …
Speaking out of turn: How video conferencing reduces vocal synchrony and collective intelligence
Collective intelligence (CI) is the ability of a group to solve a wide range of problems.
Synchrony in nonverbal cues is critically important to the development of CI; however, extant …
Synchrony in nonverbal cues is critically important to the development of CI; however, extant …
Trust measurement in human-autonomy teams: Development of a conceptual toolkit
The rise in artificial intelligence capabilities in autonomy-enabled systems and robotics has
pushed research to address the unique nature of human-autonomy team collaboration. The …
pushed research to address the unique nature of human-autonomy team collaboration. The …
Multidimensional Recurrence Quantification Analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its …
We introduce Multidimensional Recurrence Quantification Analysis (MdRQA) as a tool to
analyze multidimensional time-series data. We show how MdRQA can be used to capture …
analyze multidimensional time-series data. We show how MdRQA can be used to capture …