skills to such a challenge requires individual and team efforts. At the level of the individual studen regulated learning (SRL) is proposed as an effective way to learn in entrepreneurial proje the level of a student team, team learning and psychological safety are hypothesized to con to group performance. Yet, there is little evidence to support these claims. I seek to add to the literature by...

A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision makers. In a developing country such as South Africa, with a welldeveloped business sector, the need to improve the performance of decision makers, especially in government, is even more crucial. South Africa has to face many new challenges in the 21 centur...

Regulation of the learning process is an important condition for efficient and effective learning. In collaborative learning, students have to regulate their collaborative activities (team regulation) next to the regulation of their own learning process focused on the task at hand (task regulation). In this study, we investigate how support of collaborative inquiry learning can influence the us...

Purpose – In this paper, the authors aim to explore how students learn how to learn in a team-based graduate course Designing for Open Innovation using a theoretical framework that focuses on the cognitive functions of team-based processes and team performance. Design/methodology/approach – An automated assessment methodology for the structural and semantic analysis of individual and shared kno...

This study focused on an assessment process and cross-disciplinary team learning framework potentially useful in the design of collaborative environments for project teams. This following research questions addressed were: 1) Did individual self assessment of skills, abilities and attitudes match with perceived team goals; 2) Did teams believe they acquired the resources and support required to...

Losada (1999) observed management teams develop their annual strategic plans in a lab designed for studying team behavior. Based on these findings he developed a dynamical model of team interaction and introduced the concept of Meta Learning (ML) which represents the ability of a team to avoid undesirable attractors. This paper analyzes the dynamic model in more detail and discusses the relatio...

Information Systems Development (ISD) is fast moving, knowledge-intensive and requires a substantive amount of teamwork. In order to develop quality software, teams need to leverage the skills and knowledge of each team member. ISD teams who engage in learning at a group level can perform more effectively and efficiently. However, relative to other disciplines, knowledge and literature about te...

Multiagent systems present many challenging, real-world problems to artificial intelligence. Because it is difficult to engineer the behaviors of multiple cooperating agents by hand, multiagent learning has become a popular approach to their design. While there are a variety of traditional approaches to multiagent learning, many suffer from increased computational costs for large teams and the ...

In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial characteristics: (1) individual BOT behavior is fixed although not known in advance, therefore individual BOTS work as “plugins”, (2) RETALIATE models the problem of learning team tactics through a simple state formulation,...