Sunday, May 3, 2020

Professional Research and Communication Development

Question: Discuss about the Professional Research and Communication Development. Answer: Introduction: The area that is selected for the as a domain of IT project is cloud computing. Rittinghouse and Ransome (2016) depicts that the basic of cloud computing offers a virtual storage of data rather than having to build and maintain computing infrastructures. This procedure can be used to consume a computer resource so that an organization can get the benefit of self-service provisioning and elasticity (Fernando et al., 2013). The particular cloud computing services that are taken into consideration is the Amazon Web services, which is a leading cloud computing organization in Australia (Rittinghouse Ransome, 2016). It is evident that this leading brand offers the facility to purchase objects and perform all the transactional procedures through online. People across the world use their services and experience their services. Ranjan et al. (2015) portray that thus they need anon-demand computing platform for storing the details of the employees, customers, products and the logistics through which the products is delivered to the destined customer. Thus, the worldview of the researcher is to find how Amazon Web Services (AWS) accomplishes their functions and stores the data of the customers and products. The research can also be done in the field of the benefit the concerned organization gets by using the cloud computing services. In addition to that, research paradigm is defined as a set of assumptionsfor conducting the research for the selected topic that is the influence of cloud computing at Amazon Web Services. Creswell (2013) depicts that research parading comprises of three sections- research philosophy, research design and research approach. Primarily research philosophy is of three types- Positivism, Realism and interpretivism (Li, 2016). In Positivism, large samples are considered and previous research study and provides knowledge of the findings of the data; while, in Realism, is based on the assumption of a scientific approach (Punch, 2013). Lastly, in interpretivism, a socially constructed assumption is considered. It is better to use positivism approach for the research as it allows for cross-checking the information and data on impacts on Amazon Web Services by using cloud computing. Moreover, the research approach comprises of two aspects- Inductive and Deductive approach of research. Punch (20 13) defines that inductive approach allows formulating new theories based on the collected data; while, the deductive approach aimed to test the previous theories. As the technology of cloud computing is new, it is better to consider the inductive approach as it helps to deal with the uncertainty of the future by dealing with the upcoming results from the concerned technology. Research design comprises of two aspects- exploratory and explanatory research design (Creswell, 2013). Richey and Klein (2014) furthermore depicts that in exploratory research design, the research topic is explored to obtain the research objective while explanatory research resembles the situation of connecting ideas to understand the research objective. In this research process, it is beneficial to uses both the research design for getting a better result regarding the research topic. The prime reason behind this selection is previous theories can be evaluated in search of new theories on the benefits of clo ud computing that is perceived by Amazon Web Services. Research on new policies The given scenario illustrates a research approach that is conducted by a research worker regarding the students reactions towards a newly implemented policy on closed campus locations. The prime objective of conducting the research is to evaluate whether this new policy is beneficial or not for the students and the academic organization. In this context, the problem in the selected way of research will be illustrated. Sampling technique is primarily of two types- probabilistic and non-probabilistic. Desu (2012) defines that in probabilistic sampling technique, all the respondent are provided equal chances to participate in the research; while in non-probabilistic sampling techniques, not all the respondents are provided equal chance to participate. In this research also, sampling techniques of the non-probabilistic method are used, which represented the biases in selecting the sample for the research as not all students, who went to dean are chosen. Only every fourth student who visits the dean is considered for the interviews. Moreover, another problem that shows the biasness of the research expert is the data analysis techniques. Punch (2013) depicts that data collected for research can be analyzed through two ways- quantitative data and qualitative data. Instead of conducting the data through questioner, the research group chose the way of the interview that allows them to get an exact response with proper justification directly from the interviewee but this method of the investigation suffers from many drawbacks. Bryman and Bell (2015) mentioned that qualitative analysis that is occurred through interview details has experts biasness and it is unavoidable. Another drawback is that method does not easily allow the evaluation of the statistical data and hence cannot be utilized to formulate assumptions beyond the current group of students in the academic institutions (Cohen et al. 2013). In addition to that, quantitative data results in an outcome that is free from any kind of perception biasness and henc e gives exact research results. This process is also not used by the research workers. Research variables on defined hypothesis The given scenario portrays an incidence where a research expert desires to find a relationship between students who participates in two different activities. One of the activities is to participate in after-school programs and another activity is to participate in rote learning, where students learn tomemorize technique based on repetition. The hypothesis formulated by the research expert resembles that, those students who take part in an after-school program related to critical thinking skills gains more academic achievement and self-esteem compared to the students, who are undertaking the option of rote learning. Moreover, based on the given hypothesis, it can be assumed that the research question is- The impact of after school programs and rote memorization on critical skill thinking skills, academic achievements and self-esteem. The prime objective of this assessment is to find the independent variables and the dependent variables according to the research topic. Ary et al. (2013) defines that variable of a research topic are given a special name that only used in the investigation purpose of the research. Creswell (2013) depicts that an independent variable may have an effect on the dependent variable and has a major occurrence in the research; while, a dependent variable is monitored whether they are impacted or not. Dependent variable is also known as explained variable," "responding variable and measured variable (Ary et al., 2013). Thus, it can be stated that the in this context, the independent variables are after school programs and rote memorization and the dependent variables are c ritical thinking skills, academic achievements and self-esteem. The research experts here desire to find the level of critical thinking skills, academic achievements and self-esteem on the students who participate in after school programs and rote memorization. The research expert assumes that after school programs result in more critical-thinking skills, academic achievements and self-esteem in students than in the rote memorization programs. Reference List Ary, D., Jacobs, L. C., Sorensen, C. K., Walker, D. (2013).Introduction to research in education. Cengage Learning. Bryman, A., Bell, E. (2015).Business research methods. Oxford University Press, USA. Cohen, L., Manion, L., Morrison, K. (2013).Research methods in education. Routledge. Creswell, J. W. (2013).Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications. Desu, M. M. (2012).Sample size methodology. Elsevier. Fernando, N., Loke, S.W. and Rahayu, W., 2013. Mobile cloud computing: A survey.Future Generation Computer Systems,29(1), pp.84-106. Li, Y. (2016). Research Design and Methodology. InExpatriate Managers Adaption and Knowledge Acquisition(pp. 73-129). Springer Singapore. Punch, K. F. (2013).Introduction to social research: Quantitative and qualitative approaches. Sage. Ranjan, R., Benatallah, B., Dustdar, S., Papazoglou, M. P. (2015). Cloud Resource Orchestration Programming: Overview, Issues, and Directions.IEEE Internet Computing,19(5), 46-56. Richey, R. C., Klein, J. D. (2014).Design and development research: Methods, strategies, and issues. Routledge. Rittinghouse, J. W., Ransome, J. F. (2016).Cloud computing: implementation, management, and security. CRC press.

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