No abstract

Blogs are useful interaction tools to promote learners’ knowledge construction and interaction in online teaching activities. On the other hand, although many studies show that mindtools facilitate learners’ cognitive process, little research focus on their effects on learners’ higher order cognitive thinking in blogs. This research developed a learning environment by using a mindtool-based blog to promote learners’ higher order cognitive thinking in their online discussions and to assess their learning effects. The participants were 276 senior high school students from an information ethics class. A quasi-experimental research design was adopted in this research. The control group used the ordinary blogs. The Experimental Group 1 used the basic mindtools in blogs, which means that learners can use all the mindtool functions except the Knowledge Compilation function. The Experimental Group 2 used the advanced mindtools in blogs, which means that they can use all the mindtool functions, including the Knowledge Compilation function. The results indicated that both experimental groups showed better learning effects and more higher order cognitive thinking than the control group. Moreover, the higher order cognitive thinking category Analyze was found more often in the Experimental Group 2 than in the Experimental Group 1.

This study investigates the risk-return relations in dry-bulk shipping freight, and to analyse how it was influenced by the 2008 financial tsunami. Empirical results show that the shipping freight's risk-return relation, measured by risk premium parameter β, varies by different types of ship. The risk-return relations of capesize freight have changed after the financial tsunami, from high-risk/high-return into high-risk/low-return. In other words, compared to the case of Standard & Poor's 500 (S&P 500), there have been significant declines in the freight risk premiums. Furthermore, the risk premium parameter β is not only affected by the financial tsunami, but also significantly affected by the previous parameter β and previous freight return. The results of this study can make shipping operators aware of the dynamics of risk-return relations among various ships, so as to secure the optimal asset allocation of ship investments.