Metacognitive Strategy Training Improves Driving Situation Awareness

2009 ◽  
Vol 37 (9) ◽  
pp. 1161-1170 ◽  
Author(s):  
Abdrabo Moghazy Soliman ◽  
Elsayed Khaled Mathna
Keyword(s):  
Situation Awareness ◽  
Strategy Training ◽  
Metacognitive Strategy ◽  
Driving Situation ◽  
Training Strategy ◽  
Driver Performance ◽  
Wide Range ◽  
Novices And Experts ◽  
Metacognitive Strategy Training ◽  
The Impact

In this study the impact of training in a metacognitive strategy on driving situation awareness (SA) is investigated. Fifty-six participants were classified into an expert group and a novice group. Driving performance was measured by the number of driving infringements participants were involved in during a simulated driving situation and SA was assessed using the Situation Awareness Global Assessment Technique (Endsley, 1990). Participants were assigned randomly to either an experimental condition, where the participants were trained in modeling as metacognitive strategy, or a control condition with no training. It was found that the experts were more situationally aware than the novices, who were involved in more driving infringements. Training in a metacognitive strategy significantly enhanced SA and reduced driving infringements for both novices and experts but more so for novices than experts. These results highlight the advantage of improving SA and driver performance by using a metacognitive training strategy to enhance SA in a wide range of dynamic and highly complicated contexts.

scholarly journals The Impact of Metacognitive Strategy Training on Comprehension Monitoring among Moroccan EFL University Learners

2017 ◽  
Author(s):  
Arab World English Journal ◽  
Mohammed Msaddek
Keyword(s):  
Reading Comprehension ◽  
Strategy Instruction ◽  
Self Report ◽  
Strategy Training ◽  
Metacognitive Strategy ◽  
Control Group ◽  
First Semester ◽  
Post Test ◽  
Metacognitive Strategy Training ◽  
The Impact

This experimental study is intended to uncover how the meaning-checking procedure is conducted by Moroccan English as a foreign language (EFL) learners and explore the perceived impact of metacognitive strategy instruction on the way they monitor their comprehension act in textual processing. Predicated on a pre-post-test design, the study is a manifestation of the extent to which the learners’ monitoring behaviour during the reading process can be subject to utter improvement through the conduct of an instructional intervention. To investigate this issue at length and provide plausible, pertinent evidence, a sample of 113 of Moroccan first-semester students majoring in English Studies were targeted. The data were elicited through the usage of such research instruments as reading comprehension texts (i.e., narrative, expository), ‘self-report questionnaire’ and reading comprehension tests (i.e., pre-test, post-test). The findings evinced that, owing to strategy instruction, the comprehension-checking behavior among the experimental group (n=63) significantly improved at post-test compared to the control group (n=50). Finally, some practical implications are brought forward and a few limitations confronting the study under focus are cited.

Level of Automation Forms a Key Aspect of Autonomy Design

2017 ◽  
Vol 12 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Mica R. Endsley
Keyword(s):  
Situation Awareness ◽  
Interface Design ◽  
Human Performance ◽  
Human Cognition ◽  
Level Of Automation ◽  
Out Of The Loop ◽  
Wide Range ◽  
Levels Of Automation ◽  
And Performance ◽  
The Impact

The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and theoretical benefits. Over the past several decades a wide body of research has been conducted on the impact of various LOAs on human performance, workload, and situation awareness (SA). LOA has a significant effect on operator SA and level of engagement that helps to ameliorate out-of-the-loop performance problems. Together with other aspects of system design, including adaptive automation, granularity of control, and automation interface design, LOA is a fundamental design characteristic that determines the ability of operators to provide effective oversight and interaction with system autonomy. LOA research provides a solid foundation for guiding the creation of effective human–automation interaction, which is critical for the wide range of autonomous and semiautonomous systems currently being developed across many industries.

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