“…During reflection, initial thoughts and/or responses should be examined carefully before conclusions can be made. In doing so, a person will typically ask the following questions (Eisenführ et al, 2010;Herrmann, 2017;Uzonwanne, 2016 Inherently, questions 1 and 2 form part of cognitive planning. In addressing question 1, individuals actively and consciously engage their thought processes and use all resources available to them, such as discussions with others or using artefacts (for example, books, papers and the Internet) (Preece et al, 2015).…”
Section: Reflective Cognitionmentioning
confidence: 99%
“…The experts interviewed in this study often asked themselves guiding questions, as also suggested by literature (Eisenführ et al, 2010;Herrmann, 2017;Uzonwanne, 2016). These questions allowed them to form logical arguments to solve the given SCC problem.…”
Many novice programmers fail to comprehend source code and its related concepts in the same way that their instructors do. As emphasised in the Decoding the Disciplines (DtDs) framework, each discipline (including Computer Science) has its own unique set of mental operations. However, instructors often take certain important mental operations for granted and do not explain these 'hidden' steps explicitly when modelling problem solutions. A clear understanding of the underlying cognitive processes and related support strategies employed by experts during source code comprehension (SCC) could ultimately be utilised to help novice programmers to better execute the cognitive processes necessary to efficiently comprehend source code. Positioned within Step 2 of the DtDs framework, this study employed decoding interviews and observations, followed by narrative data analysis, to identify the underlying cognitive processes and related support (though often 'hidden') strategies utilised by a select group of experienced programming instructors during an SCC task. The insights gained were then used to formulate a set of important cognitive-related support strategies for efficient SCC. Programming instructors are encouraged to continuously emphasise strategies like these when modelling their expert ways of thinking regarding efficient SCC more explicitly to their novice students.
“…During reflection, initial thoughts and/or responses should be examined carefully before conclusions can be made. In doing so, a person will typically ask the following questions (Eisenführ et al, 2010;Herrmann, 2017;Uzonwanne, 2016 Inherently, questions 1 and 2 form part of cognitive planning. In addressing question 1, individuals actively and consciously engage their thought processes and use all resources available to them, such as discussions with others or using artefacts (for example, books, papers and the Internet) (Preece et al, 2015).…”
Section: Reflective Cognitionmentioning
confidence: 99%
“…The experts interviewed in this study often asked themselves guiding questions, as also suggested by literature (Eisenführ et al, 2010;Herrmann, 2017;Uzonwanne, 2016). These questions allowed them to form logical arguments to solve the given SCC problem.…”
Many novice programmers fail to comprehend source code and its related concepts in the same way that their instructors do. As emphasised in the Decoding the Disciplines (DtDs) framework, each discipline (including Computer Science) has its own unique set of mental operations. However, instructors often take certain important mental operations for granted and do not explain these 'hidden' steps explicitly when modelling problem solutions. A clear understanding of the underlying cognitive processes and related support strategies employed by experts during source code comprehension (SCC) could ultimately be utilised to help novice programmers to better execute the cognitive processes necessary to efficiently comprehend source code. Positioned within Step 2 of the DtDs framework, this study employed decoding interviews and observations, followed by narrative data analysis, to identify the underlying cognitive processes and related support (though often 'hidden') strategies utilised by a select group of experienced programming instructors during an SCC task. The insights gained were then used to formulate a set of important cognitive-related support strategies for efficient SCC. Programming instructors are encouraged to continuously emphasise strategies like these when modelling their expert ways of thinking regarding efficient SCC more explicitly to their novice students.
“…Rational decision-making is a more advanced type of decision-making model, laying emphasis on the characteristics of thorough research and logical evaluation, selecting among possible choices based on reason and facts (Uzonwanne, 2016). Rational decision-making model is therefore were used in higher level of decision-making on a more serious nature.…”
Section: Rational Modelmentioning
confidence: 99%
“…Rational decision-making model is therefore were used in higher level of decision-making on a more serious nature. These are the sort of decisions that managers and higher-level leaders are faced with in their leadership roles (Uzonwanne, 2016).…”
Background: In November 2016, the WHO has declared Zika virus (ZIKV) infection as a public health emergency of international concern. Affected countries have to decide on the suitable control measures of ZIKV outbreak. This article aims to apply the Rational Model in the decision-making of ZIKV outbreak control measures.
Materials and Methods:Adopting a scoping review method, articles were identified using three databases through the keywords "decision making theories" or "problem solving" and "public health" or "community health". Only articles written and published in English within the last 15 years were included. After filtering, 10 articles were reviewed.
Result:The Rational decision-making model is positioned as the most promising, effective, and functional decision-making approach for ZIKV outbreak as it reduces chances of error and optimize resources. There are five domains of control measures in ZIKV outbreak which are decision support tools; technology development; surveillance and monitoring; infrastructural development and behavioural. In Malaysia, integrated vector management, entomological and disease surveillance, enhance infrastructural development and behavioural were practiced in control measures of ZIKV outbreak.
Conclusion:The most common models used in decision making is the Rational Model and the Contingency Model. The basic concepts of Rational Model in decision-making for preventative measure of ZIKV outbreak were discussed in this article.
“…In making choices people assess the various alternatives and make the choice they think will have the best outcome (Beresford & Sloper, 2008). For a decision to be considered rational it must have been well evaluated and should be most helpful to the individual (Uzonwanne, 2015) and this decision is influenced by certain factors. Boomsma (2013) noted that the diversification of livelihood choices of each household are determined by a number of factors such as availability of assets, household members' level of education and household risk perception.…”
A refocus on agriculture is considered a pertinent resort for the youths because it is generally believed to be a panacea for sustainable development in any nation. To help generate suitable policies to encourage youth farmers to be involved in agricultural activities, the study analysed factors that influence youth farmers’ participation in agricultural activities in Akwa Ibom State, Nigeria.
Through a list of farmers obtained with the assistance of Akwa Ibom State Agricultural Development Programme, 120 youth farmers were randomly selected for the study using simple random sampling technique. The study used descriptive and inferential tools to analyse information collected. The majority (59.2%) of youth farmers were male and 42.5% were between the ages of 36-39 years. Only 8.3% had access to credit. About 71% of the youth farmers were involved in on-farm activities and only 29.2% in both on- and off-farm activities. The major determinants of youth agricultural activities were household size and membership of social organizations. The state government and other relevant agencies and organizations should create platforms to educate youth farmers on the need for more involvement and diversification in their agricultural livelihood strategies.
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