成功的单飞学生飞行表现的神经认知预测因子 埃默里(Emery),布莱恩(Brian)博士学位,中央大学,362页; AAT 3489209
抽象认知能力已被确定为确定个人作为飞行员取得成功的潜力的重要来源。但是,虽然对特定认知能力的评估对于预测飞行员的表现至关重要,但对于申请飞行课程的学生而言,这些评估并不构成大学录取过程的一部分,因为该课程的流失率可能高达70%。 卡特尔·洪·卡罗尔(CHC)认知能力的三层模型理论将学术和认知表现联系在一起;但是,通过扩大对CHC理论信息处理能力与特定人类绩效之间关系的理解,进一步的研究可以为地层修改做出贡献。在一项独立样本的t检验研究设计中,该非实验性定量研究检查了认知预测因子与学生飞行员成功的单飞性能之间的关系。使用CogScreen航空医学版神经病学评估来确定认知因素是否有效且可靠地证明了成功的个人飞行性能。研究参与者为70名年龄在18至25岁之间的学生飞行员(便利性样本),其中10位是女性(14%),另一位是60位男性(86%),他们是从Embry-Riddle航空大学选出的。参与者在飞行之前要进行CogScreen-AE措施。飞行教练使用FA121飞行培训大纲来评估学生在培训过程中的表现。培训结束后,将参与者分为独奏组(n = 52)和独奏组(n = 18)。使用独立样本t检验比较独奏完成组和独奏未完成组的平均得分。该测试对以下三种认知指标具有显着意义:分散注意力t(68)= 3.77,p < .001, speed-working 记忆 t (68) = 6.81, p < .001, and LRPV t (68) = 17.67, p < .001. The Pearson 相关性 results revealed that LRPV ( r [52] = .32, p < .05) had the strongest relationship of the three cognitive measures. In addition, regression analyses revealed that the LRPV was the most predictive that explained 81% of the variance ( R ² = .81, F [1, 51] = 213.15, p < .001) in successful solo flight performance. These findings suggest that these cognitive measures are significant of successful solo flight performance and provide further 证据 in support of the CHC理论. It is concluded that applying a 认知表现 measure prior to admission to a flight program may reduce 在trition rates, support necessary accommodations, and identify flight deficiencies. Further research should compare results among different university flight programs to confirm the findings and to improve the 可靠性 of the CogScreen-AE as a standardized measure for beginning flight students.
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