scholarly journals An Agent System to Support Student Teams Working Online

10.28945/2640 ◽  
2003 ◽  
Author(s):  
Janice E. Whatley
Keyword(s):  
Software Agents ◽  
Agent System ◽  
Team Members ◽  
Team Projects ◽  
Student Teams ◽  
Support Students

In this paper an application of software agents is described, aimed at supporting students working on team projects in the online situation. Online teamwork is problematical for a number of reasons, such as getting acquainted with team members, communications between members and knowing what progress has been made on the project. Software agents have the ability to monitor progress and offer advice by operating in the background to act autonomously when the need arises. An agent prototype has been developed to perform a limited set of functions to support students, and the results of a trial carried out using teams working on projects are discussed.

scholarly journals Effective Student Teams: A Faux Hiring And Peer Evaluation Process

2011 ◽  
Vol 15 (4) ◽  
pp. 147 ◽  
Author(s):  
Michelle D. Lane
Keyword(s):  
Evaluation Process ◽  
Free Riding ◽  
Scheduling Problems ◽  
Work Processes ◽  
Team Cohesiveness ◽  
Team Members ◽  
Hiring Process ◽  
Team Projects ◽  
Student Teams ◽  
Student Team

Student team projects provide benefits to the education process and provide experience valued by employers, but they can also be a source of conflict, free-riding and are fraught with fairness issues. The advantages of using teams for faculty are that they provide opportunities for synergies and collaboration, while also simulating group work processes. However, due to free-riding, scheduling problems and differing goals, there are fertile grounds for team conflicts. Therefore, there exists a need for better methods of forming teams and a process to assure shared goals by team members. This research proposes an innovative approach to team creation where students participate in a hiring process that increases team cohesiveness and ultimately team performance. Preliminary empirical validation is also provided that supports this approach.

Assessment of Individual Student Performance in Online Team Projects

2011 ◽  
Vol 15 (3) ◽  
Author(s):  
Jay Alden
Keyword(s):  
Student Performance ◽  
Group Process ◽  
Online Courses ◽  
Peer Assessment ◽  
Individual Student ◽  
Assessment Practice ◽  
Group Project ◽  
Team Members ◽  
Team Projects

The use of team projects has been shown to be beneficial in higher education. There is also general agreement that team efforts should be assessed and that the grading ought to represent both (1) the quality of the product developed jointly by the team as well as (2) the degree of participation and quality of contribution by each individual student involved in the group process. The latter grading requirement has posed a challenge to faculty so the question addressed in this paper is “How should individual team members in online courses be assessed for the extent and quality of their contributions to the group project?” To answer this question, four common team member evaluation practices were reviewed and compared to seven criteria representing positive attributes of an assessment practice in an online learning environment. Whereas the Peer Assessment practice received the greatest support in the literature in face-to-face courses, this study that considered the perceptions of graduate faculty and students recommended the Faculty Review practice as the default assessment

Can machine learning be used to forecast the future uncertainty of military teams?

2021 ◽  
pp. 154851292199911
Author(s):  
Ronald H Stevens ◽  
Trysha L Galloway
Keyword(s):  
Machine Learning ◽  
Sensory Information ◽  
Fundamental Property ◽  
Transition Matrices ◽  
Team Members ◽  
Student Teams ◽  
The Future ◽  
Network States ◽  
Uncertainty Models ◽  
Military Teams

Uncertainty is a fundamental property of neural computation that becomes amplified when sensory information does not match a person’s expectations of the world. Uncertainty and hesitation are often early indicators of potential disruption, and the ability to rapidly measure uncertainty would have implications for future educational and training efforts by targeting reflective discussions about past actions, supporting in-progress corrections, and generating forecasts about future disruptions. An approach is described combining neurodynamics and machine learning to provide quantitative measures of uncertainty. Models of neurodynamic information derived from electroencephalogram (EEG) brainwaves have provided detailed neurodynamic histories of US Navy submarine navigation team members. Persistent periods (25–30 s) of neurodynamic information were seen as discrete peaks when establishing the submarine’s position and were identified as periods of uncertainty by an artificial intelligence (AI) system previously trained to recognize the frequency, magnitude, and duration of different patterns of uncertainty in healthcare and student teams. Transition matrices of neural network states closely predicted the future uncertainty of the navigation team during the three minutes prior to a grounding event. These studies suggest that the dynamics of uncertainty may have common characteristics across teams and tasks and that forecasts of their short-term evolution can be estimated.

The Effects of Expertise and Social Status on Team Member Influence and the Moderating Roles of Intragroup Conflicts

2017 ◽  
Vol 44 (4) ◽  
pp. 745-776 ◽  
Author(s):  
Woonki Hong ◽  
Lu Zhang ◽  
Kwangwook Gang ◽  
Boreum Choi
Keyword(s):  
Social Status ◽  
Early Stage ◽  
Project Teams ◽  
Team Processes ◽  
Team Members ◽  
Expectation States ◽  
Team Projects ◽  
Expectation States Theory ◽  
Team Project ◽  
Do So

Drawing on expectation states theory and expertise utilization literature, we examine the effects of team members’ actual expertise and social status on the degree of influence they exert over team processes via perceived expertise. We also explore the conditions under which teams rely on perceived expertise versus social status in determining influence relationships in teams. To do so, we present a contingency model in which the salience of expertise and social status depends on the types of intragroup conflicts. Using multiwave survey data from 50 student project teams with 320 members at a large national research institute located in South Korea, we found that both actual expertise and social status had direct and indirect effects on member influence through perceived expertise. Furthermore, perceived expertise at the early stage of team projects is driven by social status, whereas perceived expertise at the later stage of a team project is mainly driven by actual expertise. Finally, we found that members who are being perceived as experts are more influential when task conflict is high or when relationship conflict is low. We discuss the implications of these findings for research and practice.

scholarly journals Setting Up a Language Learning Environment in Microsoft Teams

2020 ◽  
pp. 263-270
Author(s):  
Carolin Schneider
Keyword(s):  
Learning Environment ◽  
Language Learning ◽  
Language Learners ◽  
Team Members ◽  
Short Notice ◽  
Language Courses ◽  
The University ◽  
Support Students ◽  
Staff Skills ◽  
Do So

The Language Zone at the University of Leeds, UK, is well established as a hub for language learners across the campus, both those on language courses and those studying languages independently for a variety of reasons. It has been operating entirely online since March 2020 and will do so until the campus fully re-opens. This written account gives a brief overview of the changes made to the Language Zone’s services and provision of learning materials in response to the Covid-19 pandemic, including how the team members’ roles were adapted to ensure staff skills were taken into account. In addition to showing how services were maintained when the campus was closed at short notice and teaching was moved online until further notice, the study outlines how the Language Zone developed a platform to support the 2020 summer pre-sessional programmes to be delivered completely online. Finally, reflecting on the recent achievements and considering how to support students in the future, it aims to inspire other self-access centres to think about what they can do to develop their services in response to the crisis and beyond.

The Influence of Team Goal Alignment and Awareness on Human-Centered Design Team Decision-Making Strategy

2021 ◽  
Author(s):  
Vivek Rao ◽  
Ananya Krishnan ◽  
Jieun Kwon ◽  
Euiyoung Kim ◽  
Alice Agogino ◽  
...  
Keyword(s):  
Decision Making ◽  
Personal Goals ◽  
Design Team ◽  
Design Teams ◽  
Goal Alignment ◽  
Team Members ◽  
Team Decision Making ◽  
Student Teams ◽  
Team Decision ◽  
Team Alignment

Abstract Design team decision-making underpins all activities in the design process. Simultaneously, goal alignment within design teams has been shown to be essential to the success of team activities, including engineering design. However, the relationship between goal alignment and design team decision-making remains unclear. In this exploratory work, we analyze six student design teams’ decision-making strategies underlying 90 selections of design methods over the course of a human-centered design project. We simultaneously examine how well each design team’s goals are aligned in terms of their perception of shared goals and their awareness of team members’ personal goals at the midpoint and end of the design process, along with three other factors underpinning team alignment at the midpoint. We report three preliminary findings about how team goal alignment and goal awareness influence team decision-making strategy that, while lacking consistent significance, invite further research. First, we observe that a decrease in awareness of team members’ personal goals may lead student teams to use a different distribution of decision-making strategies in design than teams whose awareness stays constant or increases. Second, we find that student teams exhibiting lower overall goal alignment scores appear to more frequently use agent-driven decision-making strategies, while student teams with higher overall goal alignment scores appear to more frequently use process-driven decision-making strategies. Third, we find that while student team alignment appears to influence agent- and process-driven strategy selection, its effect on outcome-driven selection is less conclusive. While grounded in student data, these findings provide a starting place for further inquiry into of designerly behavior at the nexus of teaming and design decision-making.

Trust in Virtual Multicultural Teams

2008 ◽  
pp. 1292-1308
Author(s):  
Iris C. Fischlmayr ◽  
Werner Auer-Rizzi
Keyword(s):  
Virtual Teams ◽  
Business Students ◽  
Illustrative Case ◽  
Multicultural Teams ◽  
Cultural Backgrounds ◽  
Team Members ◽  
Geographically Dispersed ◽  
Team Projects ◽  
Illustrative Case Study

This chapter analyses the phenomenon of trust with regard to its significance for virtual teams. Guided by the existing literature on trust, this chapter presents different kinds of trust and the development of trust over time. The challenges inherent to virtual multicultural teams, thus to working teams, which are geographically dispersed and communicate with the help of electronic media, raise the questions of their consequences on trust. As virtual teams are mostly used in companies operating in different countries all over the world, the different cultural backgrounds of the team members are taken into account as well. To give an example for the relevance of this issue in practice, an illustrative case study on experiences international business students have made during virtual team projects is presented.

Norm Emergence in Multi-Agent Societies

2011 ◽  
pp. 195-206
Author(s):  
Bastin Tony Roy Savarimuthu ◽  
Maryam Purvis ◽  
Stephen Cranefield
Keyword(s):  
Software Agents ◽  
Experimental Results ◽  
Multi Agent System ◽  
Artificial Agent ◽  
Agent System ◽  
Agent Societies ◽  
Multi Agent ◽  
Norm Emergence

Norms are shared expectations of behaviours that exist in human societies. Norms help societies by increasing the predictability of individual behaviours and by improving cooperation and collaboration among members. Norms have been of interest to multi-agent system researchers, as software agents intend to follow certain norms. But, owing to their autonomy, agents sometimes violate norms, which needs monitoring. In order to build robust MAS that are norm compliant and systems that evolve and adapt norms dynamically, the study of norms is crucial. Our objective in this chapter is to propose a mechanism for norm emergence in artificial agent societies and provide experimental results. We also study the role of autonomy and visibility threshold of an agent in the context of norm emergence.

Study of Team Management and Performance with Linear Regression: A Empirical Study Based on 12 Step Method

2017 ◽  
Vol 14 (1) ◽  
pp. 168-176
Author(s):  
Jian Yu ◽  
Weichu Xu ◽  
M Rogers
Keyword(s):  
Team Performance ◽  
Business Students ◽  
University Student ◽  
Team Management ◽  
Step Method ◽  
Team Members ◽  
Student Teams ◽  
Teamwork Skills ◽  
And Performance ◽  
The Relationship

Teamwork skills have becoming an important asset that employees can bring into an organization. How to make employees work with other team members and make team effective is an important issue in business education. In order to make sense which factors in team management will help improve team performance, we try to design a test among students. In this paper, we focus on using 12-step method to help business students acquire their teamwork skills and improve their team performance in class, and propose and examine several hypotheses on the relationship between 12-step and their impact on team performance with a dataset collecting from university student teams. The results show that initial sharing, continuous sharing and feedbacks are positively associated with team performance, but expectation, equity and celebration are negatively associated with team performance. The findings provide some insights about how to apply different steps in different environments, and show that some measures and steps should be paid more attention in training in a firm or other organizations.

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