Cognitive factors related to computer programming and software productivity

Author(s):  
Woodrow Barfield ◽  
William K. LeBold ◽  
Gavriel Salvendy ◽  
Sogand Shodja
1983 ◽  
Vol 27 (7) ◽  
pp. 647-651 ◽  
Author(s):  
Woodrow Barfield ◽  
William K. LeBold ◽  
Gavriel Salvendy ◽  
Sogand Shodja

The significance of software productivity is discussed and methods to increase computer programming productivity are reviewed. The range of performance capabilities of computer programmers in academic work environments based on several cognitive variables are delineated. Results reveal that for 90 percent of the population these ranges can vary from a low of 1:2 to a high of 1:99. Mathematical abilities are shown to predict up to 25 percent of the variance accounting for computer programming proficiency. Also combined chemistry and mathematical skills can predict up to 40 percent of the variance in computer programming proficiency. Basic Cognitive Skills, as measured by standard cognitive ability tests, are not shown to be helpful in predicting programming proficiency, whereas chunking appears to be a useful method for determining computer proficiency.


2020 ◽  
Vol 25 (3) ◽  
pp. 162-173 ◽  
Author(s):  
Sascha Zuber ◽  
Matthias Kliegel

Abstract. Prospective Memory (PM; i.e., the ability to remember to perform planned tasks) represents a key proxy of healthy aging, as it relates to older adults’ everyday functioning, autonomy, and personal well-being. The current review illustrates how PM performance develops across the lifespan and how multiple cognitive and non-cognitive factors influence this trajectory. Further, a new, integrative framework is presented, detailing how those processes interplay in retrieving and executing delayed intentions. Specifically, while most previous models have focused on memory processes, the present model focuses on the role of executive functioning in PM and its development across the lifespan. Finally, a practical outlook is presented, suggesting how the current knowledge can be applied in geriatrics and geropsychology to promote healthy aging by maintaining prospective abilities in the elderly.


2016 ◽  
Vol 6 (2) ◽  
pp. 81-90 ◽  
Author(s):  
Kathleen Van Benthem ◽  
Chris M. Herdman

Abstract. Identifying pilot attributes associated with risk is important, especially in general aviation where pilot error is implicated in most accidents. This research examined the relationship of pilot age, expertise, and cognitive functioning to deviations from an ideal circuit trajectory. In all, 54 pilots, of varying age, flew a Cessna 172 simulator. Cognitive measures were obtained using the CogScreen-AE ( Kay, 1995 ). Older age and lower levels of expertise and cognitive functioning were associated with significantly greater flight path deviations. The relationship between age and performance was fully mediated by a cluster of cognitive factors: speed and working memory, visual attention, and cognitive flexibility. These findings add to the literature showing that age-related changes in cognition may impact pilot performance.


2014 ◽  
Author(s):  
Alexandria Willis ◽  
Marcy Adler ◽  
Jessica Tsou ◽  
Matthew Zusman ◽  
Charles J. Golden

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