If a task is to be included in a reliable test, its features and the level of difficulty should be specified so that we know it is appropriate to the examinees. Beginning from Skehan＇s （1998） cognitive perspective ...If a task is to be included in a reliable test, its features and the level of difficulty should be specified so that we know it is appropriate to the examinees. Beginning from Skehan＇s （1998） cognitive perspective of task features in L2 instruction, the study compares the performance of two kinds of writing tasks from CET （College English Test） in China in order to verify whether the hypothesized task difficulty set by Skehan＇s cognitive framework can predict the actual performance of the examinees in testing context. The study also investigates the examinee＇s own perception of test tasks and the relationship between such perception and their performance. The results of the study show that more cognitively demanding tasks tend to generate greater level of task difficulty and thus elicit poorer examinee performance. However, it does not find enough evidence that there is some systematic competition between accuracy, fluency and complexity in the performance. It also shows the examinees＇ own perception of difficulty is variable and cannot be relied on. There is some reasonable self-awareness of the quality of their performance in terms of accuracy and fluency, but not complexity. It concludes to suggest that the two types of tasks should not be treated as parallel in CET in view of the observed difference on the examinees＇ performance.展开更多
Airport tower control plays an instrumental role in ensuring airport safety.However,obtaining objective,quantitative safety evaluations is challenging due to the unavailability of pertinent human operation data.This s...Airport tower control plays an instrumental role in ensuring airport safety.However,obtaining objective,quantitative safety evaluations is challenging due to the unavailability of pertinent human operation data.This study introduces a probabilistic model that combines aircraft dynamics and the peak-over-threshold(POT)approach to assess the safety performance of airport controllers.We applied the POT approach to model reaction times extracted from a radiotelephony dataset via a voice event detection algorithm.The model couples the risks of tower control and aircraft operation to analyze the influence of human factors.Using data from radiotele-phony communications and the Base of Aircraft Data(BADA)database,we compared risk levels across scenarios.Our findings revealed heightened airport control risks under low demand(0.374)compared to typical conditions(0.197).Furthermore,the risks associated with coupling under low demand exceeded those under typical de-mand,with the final approach stage presenting the highest risk(4.929×107).Our model underscores the significance of human factors and the implications of mental disconnects between pilots and controllers for safety risks.Collectively,these consistent findings affirm the reliability of our probabilistic model as an evaluative tool for evaluating the safety performance of airport tower controllers.The results also illuminate the path toward quantitative real-time safety evaluations for airport controllers within the industry.We recommend that airport regulators focus on the performance of airport controllers,particularly during the final approach stage.展开更多
文摘If a task is to be included in a reliable test, its features and the level of difficulty should be specified so that we know it is appropriate to the examinees. Beginning from Skehan＇s （1998） cognitive perspective of task features in L2 instruction, the study compares the performance of two kinds of writing tasks from CET （College English Test） in China in order to verify whether the hypothesized task difficulty set by Skehan＇s cognitive framework can predict the actual performance of the examinees in testing context. The study also investigates the examinee＇s own perception of test tasks and the relationship between such perception and their performance. The results of the study show that more cognitively demanding tasks tend to generate greater level of task difficulty and thus elicit poorer examinee performance. However, it does not find enough evidence that there is some systematic competition between accuracy, fluency and complexity in the performance. It also shows the examinees＇ own perception of difficulty is variable and cannot be relied on. There is some reasonable self-awareness of the quality of their performance in terms of accuracy and fluency, but not complexity. It concludes to suggest that the two types of tasks should not be treated as parallel in CET in view of the observed difference on the examinees＇ performance.
基金funded by the Jiangsu Province Natural Science Foundation(Grant number:BK20201296)the National Natural Science Foundation of China-Civil Aviation Administration of China Civil Aviation Joint Research Foundation(Grant number:U2233208).
文摘Airport tower control plays an instrumental role in ensuring airport safety.However,obtaining objective,quantitative safety evaluations is challenging due to the unavailability of pertinent human operation data.This study introduces a probabilistic model that combines aircraft dynamics and the peak-over-threshold(POT)approach to assess the safety performance of airport controllers.We applied the POT approach to model reaction times extracted from a radiotelephony dataset via a voice event detection algorithm.The model couples the risks of tower control and aircraft operation to analyze the influence of human factors.Using data from radiotele-phony communications and the Base of Aircraft Data(BADA)database,we compared risk levels across scenarios.Our findings revealed heightened airport control risks under low demand(0.374)compared to typical conditions(0.197).Furthermore,the risks associated with coupling under low demand exceeded those under typical de-mand,with the final approach stage presenting the highest risk(4.929×107).Our model underscores the significance of human factors and the implications of mental disconnects between pilots and controllers for safety risks.Collectively,these consistent findings affirm the reliability of our probabilistic model as an evaluative tool for evaluating the safety performance of airport tower controllers.The results also illuminate the path toward quantitative real-time safety evaluations for airport controllers within the industry.We recommend that airport regulators focus on the performance of airport controllers,particularly during the final approach stage.
