درخت حوزه‌های تخصصی

Choosing the right method for teaching is an important step in learning. Corporate trainers have always been interested in finding new ways to achieve effective learning. The present study seeks to improve language learning by measuring, comparing and prioritizing the effectiveness of three methods: traditional, blended and flipped method. In terms of purpose and nature, the present study was experimental and with respect to method it was quasi-experimental including a pre-test and a post-test designed with an equivalent control group. The participants consisted of 66 employees in an Iranian organization who were required to attend English language courses. The participants were sampled in accordance with training needs analysis results in the organization. Moreover, data were analyzed by means of descriptive and inferential statistics including mean analysis, standard deviation, F-way ANOVA, and Scheffe post hoc test using SPSS software version 25. The findings of the study indicate a significant difference between the three groups and the ranking of methods in terms of learning effectiveness from the highest to the lowest level includes; 1)Flipped 2) Blended 3) Traditional, respectively. The results showed that in spite of the high effectiveness of the flipped classroom to the other methods, some cultural differences such as family preference, feasts,  training customs and also resistance to new methods of learning hindered the allocation of sufficient time for practicing the lesson at home. In addition, such hindrances partially trace back to ancient Iranian culture. In conclusion, some suggestions were proposed to modify technology acceptance and other related weaknesses.   

One of the challenging issues for investors and professionals is appropriate models to evaluate financial situation of the firms. In this regard, many models have been extracted by researchers using different financial ratios to resolve these issues. However, choosing a model based on the conditions and users’ needs is complex. The main objective of this study is to identify the effect of contingency variables on the firms’ financial performance forecasting models. The statistical population of the research includes all firms listed in Tehran Stock Exchange during the period 2011-2018, among which 154 firms were selected. The research data were collected from firm's financial statements and other source. Multiple Discriminant Analysis and Logit Regression model were used to test the research hypotheses. According to the results of discriminant analysis, environmental uncertainty and firm size positively improve the predictive power of the firm's financial performance, and business strategy and business competition don’t improve the predictive power of the firm's financial performance. Also, the results of logit regression indicated that environmental uncertainty, business strategy, and firm size improve predictive power of the firm's financial performance; but, business competition don’t improve predictive power of the model. The results of comparing the two methods showed that the Discriminant analysis method outperformed the logistic regression method.