A Novel Online Education Reform Model Based on Risky Decision-Making under the Situation of Internet Plus

In the new situation of Internet plus, information technology has been widely applied in education, and hence online education has attracted wide attention from all walks of life. Today’s society is a risk society, and risk is everywhere. Online education reform is also risky, which is determined by many reasons. Some risks will cause certain losses to the online education reform, so based on risky decision-making, it is necessary to carry out online education reform under the new situation of Internet plus. At first, the risky decision-making in online education reform is analyzed, which is the risk of online education reform in risk society and the allocation logic of online education reform. Then, taking interval type-2 fuzzy logic (IT2FL) as the information environment, this study proposes the optimal risky decision-making method based on IT2FL utility functions, IT2FL entropy, and risk preference factor of online education reform to solve the multipath risky decision-making problem of online education reform. Finally, the experimental results show that, in the risky decision-making model, the decision-maker’s risk preference has an impact on the path weight and the ranking of the scheme, and the idea has a certain reference role for risky decision-making. Compared with the three benchmarks, the proposed method has the fewest ranking time with the same ranking results.

Never mind losing the pound… still got the penny! The influence of trait greed on risky decision behavior in a mixed and gain only BART

Two different reasons to show risky behavior have been identified: Risk proneness and the lack of loss aversion. So far, the number of empirical studies investigating the influence of trait greed, anxiety, and age on risky decision behavior, differentiating between risk sensitivity and loss aversion, is very limited and inconsistent findings exist. The present study investigated this issue using variants of the Balloon Analogue Risk Task (BART) in an online study. Risky decision-making behavior was then assessed by administering two versions of the BART, a gain only and a mixed gambling BART. A total of 54 male and 51 female subjects participated in the study. It could be shown that individuals with a high expression of the personality trait greed show an increased risky decision behavior due to an increased risk sensitivity and not due to a reduced loss aversion. This is partly in contrasts with previous findings in other tasks assessing risk sensitivity and loss aversion. These differences may be due to the changes of perception during the gain only task.No significant effect was found between the personality trait anxiety or age and risky decision-making behavior. This could be since no pathologically anxious subjects were used for the sample, or respectively due to an unbalanced distribution of age.