Teamwork in Modern Organizations: Implications for Technology Education

Characteristics of teamwork in modern organizations and workplaces are examined, in order to extrapolate the means for imparting teamwork skills within technology education. Goals and tasks for the team, team composition, team-player styles, phases of team development, communication and interpersonal skills, decision making, leadership, and evaluation of team performance are discussed. Teamwork skills are acquired gradually as a result of experience. Mere provision of a joint task to a group of people does not produce teamwork spontaneously. In order to promote teamwork, technological tasks at school need to include considerable degrees of freedom and decision-making by pupils. When the teacher becomes a facilitator of the process, instead of being primarily a source of knowledge and a decision-maker, team members can determine the assignment of roles in the group by themselves. Evaluation of teamwork in technology education is an integral part of alternative assessment.     

Nationality and risk attitude: Testing differences and similarities of investors' behavior in selected financial markets

We first applied cluster analysis on selected stock market indexes (NASDAQ, DAX, Nikkei 225, FTSE 100, and Dow-Jones) for identifying four global fundamental patterns of stock markets behavior (to be named “market conditions”). On each of these patterns (attesting similar market conditions) we then applied Support Vector Machine (SVM) classification technique to test for the similarities and differences in the behavior of investors in the various stock markets. Our results show a good degree of separation of investors' behavior for the selected national stock markets (i.e., investors in different national financial markets react differently, facing the same market conditions, while the two US national markets (NASDAQ and Dow-Jones) behave the same). The results could be interpreted as a positive evidence for different investor behavior (and risk attitude) in different national stock markets. The presented approach could be used for further classification of financial indices behavior, and investment strategies associated with multinational investment portfolios.