Team Interactive Decision Exercise for Teams Incorporating Distributed Expertise (TIDE2): A Program and Paradigm for Team Research. (Version 1.0)

1991 ◽  
Author(s):  
John R. Hollenbeck ◽  
Douglas Sego ◽  
Daniel R. Ilgen ◽  
Debra Major
Keyword(s):  
Team Research ◽  
Distributed Expertise

Development of a German-Language Questionnaire to Measure Collective Orientation as an Individual Attitude

2017 ◽  
Vol 76 (3) ◽  
pp. 91-105 ◽  
Author(s):  
Vera Hagemann
Keyword(s):  
Team Performance ◽  
Reliability And Validity ◽  
Future Research ◽  
German Language ◽  
Team Members ◽  
Collective Orientation ◽  
Team Research ◽  
German Speaking ◽  
Individual Variables ◽  
The Individual

Abstract. The individual attitudes of every single team member are important for team performance. Studies show that each team member’s collective orientation – that is, propensity to work in a collective manner in team settings – enhances the team’s interdependent teamwork. In the German-speaking countries, there was previously no instrument to measure collective orientation. So, I developed and validated a German-language instrument to measure collective orientation. In three studies (N = 1028), I tested the validity of the instrument in terms of its internal structure and relationships with other variables. The results confirm the reliability and validity of the instrument. The instrument also predicts team performance in terms of interdependent teamwork. I discuss differences in established individual variables in team research and the role of collective orientation in teams. In future research, the instrument can be applied to diagnose teamwork deficiencies and evaluate interventions for developing team members’ collective orientation.

Team Research Methods for Studying lntranasal Heroin Use and Its HIV Risks

1995 ◽  
Author(s):  
Lawrence J. Ouellet ◽  
◽  
W. Wayne Wiebel ◽  
Antonio D. Jimenez
Keyword(s):  
Research Methods ◽  
Heroin Use ◽  
Hiv Risks ◽  
Team Research

RELEVANSI PEMBELAJARAN IPA DAN PAI HUMANIS

Edupedia ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 13-21
Author(s):  
Subyanto ◽  
Kurniyatul Faizah
Keyword(s):  
Social Interaction ◽  
Real Life ◽  
Problem Based Learning ◽  
Role Playing ◽  
Natural Sciences ◽  
Discovery Learning ◽  
Islamic Education ◽  
Transfer Of Knowledge ◽  
The Real ◽  
Team Research

In Natural Sciences (IPA) there are three aspects of learning, they arenatural sciences as product, process, and strengthening attitudes. This natural sciences learning classification found relevance with Islamic education learning in the aspect of fiqh, theseare fiqh as a product and fiqh as a process. The types of humanistlearning arelearning other than as a product, because this learning is not just transfer of knowledge without rationality, so that the lesson is not able to take part in the real life of humanity. In the implementation, humanist learning can be carried out using several scientific approaches such as problem based learning, discovery learning, social interaction, role playing, team research, and other forms that are oriented to students involvementdirectly.

Transdisciplinary Team Research to Develop Theory of Mind in Human-AI Teams Panelists

2021 ◽  
Vol 65 (1) ◽  
pp. 1605-1609
Author(s):  
Stephen M. Fiore ◽  
Bethany Bracken ◽  
Mustafa Demir ◽  
Jared Freeman ◽  
Michael Lewis
Keyword(s):  
Theory Of Mind ◽  
Research And Development ◽  
Social Intelligence ◽  
Research Approach ◽  
Team Research ◽  
Develop Theory

This panel will provide a transdisciplinary perspective on developing artificial social intelligence for teams. A panel with representatives from the cognitive, computational, and neural sciences will discuss theoretical, methodological, and technological insights derived from their respective disciplines. These perspectives will be integrated via a set of questions meant to guide synthesis across disciplines in support of a transdisciplinary team research approach. Through discussion across the panel and audience, our goal is to contribute to research and development in the area of Human-AI-Robot Teaming effectiveness.

Effects of Situational Factors on Team Planning

2021 ◽  
pp. 1-14
Author(s):  
Martina Oldeweme ◽  
Udo Konradt ◽  
Yvonne Garbers
Keyword(s):  
Strategic Planning ◽  
Time Pressure ◽  
Positive Impact ◽  
Situational Factors ◽  
Multilevel Analyses ◽  
Policy Capturing ◽  
Four Dimensions ◽  
Team Planning ◽  
Team Research ◽  
Decision Importance

Abstract. Although there has long been consensus in team research that planning generally has a positive impact on performance, very little is known about how input factors (e. g., situational factors) affect the planning behavior of teams. In addition, the various dimensions of planning remain largely unexplored. In this study, we examine the effects of time pressure, task routine, and decision importance on team planning. We suggest that planning consists of four dimensions: exploration, strategic planning, detailed planning, and prognosis. In two policy-capturing studies, undergraduates and employees were presented with a series of hypothetical scenarios and asked to indicate in each case how they might plan for these if working as part of a team. Results from our Bayesian multilevel analyses revealed that teams overall used less planning when they were under acute time pressure, when tasks were very routine, and when the decisions involved were of little importance.

scholarly journals Research collaboration and topic trends in Computer Science based on top active authors

2016 ◽  
Vol 2 ◽  
pp. e41 ◽  
Author(s):  
Yan Wu ◽  
Srinivasan Venkatramanan ◽  
Dah Ming Chiu
Keyword(s):  
Computer Science ◽  
Research Collaboration ◽  
Time Window ◽  
Time Windows ◽  
Evaluation Framework ◽  
Scientific Publications ◽  
Policy Makers ◽  
Team Research ◽  
Continuous Presence ◽  
Shed Light

Academic publication metadata can be used to analyze the collaboration, productivity and hot topic trends of a research community. In this paper, we study a specific group of authors, namely the top active authors. They are defined as the top 1% authors with uninterrupted and continuous presence in scientific publications over a time window. We take the top active authors in the Computer Science (CS) community over different time windows in the past 50 years, and use them to analyze collaboration, productivity and topic trends. We show that (a) the top active authors are representative of the overall population; (b) the community is increasingly moving in the direction of Team Research, with increased level and degree of collaboration; and (c) the research topics are increasingly inter-related. By focusing on the top active authors, it helps visualize these trends better. Besides, the observations from top active authors also shed light on design of better evaluation framework and resource management for policy makers in academia.

Sign in / Sign up

Export Citation Format

Share Document