Cognitive factors related to computer programming and software productivity

Cognitive Factors Related to Computer Programming and Software Productivity

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128302700728 ◽

1983 ◽

Vol 27 (7) ◽

pp. 647-651 ◽

Cited By ~ 2

Author(s):

Woodrow Barfield ◽

William K. LeBold ◽

Gavriel Salvendy ◽

Sogand Shodja

Keyword(s):

Cognitive Skills ◽

Computer Programming ◽

Work Environments ◽

Cognitive Factors ◽

Cognitive Variables ◽

Mathematical Skills ◽

Mathematical Abilities ◽

Software Productivity ◽

Computer Proficiency ◽

Ability Tests

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.

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Students’ Perception of the Effect of Cognitive Factors in Determining Success in Computer Programming: A Case Study

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2020.0110724 ◽

2020 ◽

Vol 11 (7) ◽

Author(s):

Jotham Msane ◽

Bethel Mutanga ◽

Tarirai Chani

Keyword(s):

Computer Programming ◽

Cognitive Factors

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Prospective Memory Development Across the Lifespan

European Psychologist ◽

10.1027/1016-9040/a000380 ◽

2020 ◽

Vol 25 (3) ◽

pp. 162-173 ◽

Cited By ~ 1

Author(s):

Sascha Zuber ◽

Matthias Kliegel

Keyword(s):

Prospective Memory ◽

Healthy Aging ◽

Present Model ◽

Current Knowledge ◽

Well Being ◽

The Elderly ◽

Cognitive Factors ◽

Everyday Functioning ◽

Integrative Framework

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.

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Cognitive Factors Mediate the Relation Between Age and Flight Path Maintenance in General Aviation

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000102 ◽

2016 ◽

Vol 6 (2) ◽

pp. 81-90 ◽

Cited By ~ 4

Author(s):

Kathleen Van Benthem ◽

Chris M. Herdman

Keyword(s):

Cognitive Functioning ◽

Flight Path ◽

General Aviation ◽

Cognitive Factors ◽

Pilot Performance ◽

Pilot Error ◽

Age Related ◽

And Performance ◽

Relationship Of ◽

The Relationship

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.

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