The chosen subject matter for conducting the research is based on the thought process of the experts in an individual field. The fact that has prompted to this survey is the legitimacy on the part of the lecturers who are representative agents of particular subjects. In fact the manner of presentation of the main principles, segmentations and theories depends a lot on the acceptance of a subject by the students of that discipline (Chandra-Mohan et al. 2015).
Any discipline develops over a period of years; therefore the practitioners tend to make efforts to procure the best out of the subject. In this order the academicians often tend to overhype it (Awang 2014).The effect of the following has proportional effect on the global educational system. In order to assess this tendency, the research has been adopted.
The magnitude of comprehending a subject as simple or complicated is decided by many factors but this stands as one of the major reasons. This will be evaluated in the manner of a questionnaire. The questionnaire will be distributed to a group of professors and students who shall determine the result of the concerned issue. The responses of universities and other academic institutions are also significant because they help in allowing the prospect of a subject in their module (Newman 2016).
Data for any research can be collected by the two following ways:
The preferred technique for the research proposal is quantitative data analysis. Then execution will not be possible without this process. It deals with the quantified analysis among a group of selected lecturers who are also celebrated academicians. There are two approaches of data collection. Primary data collection includes filling out questionnaires, like in this case and secondary data collection includes interviewing different subject matters experts whose views and decisions are significant and relevant for this topic. It aids in assessing and also setting a future proposal, if the results are too disappointing (Palinkas et al. 2015).
A set of fifteen questions have been prepared which will be distributed among 30 current lecturers of Australian University. The data analysis plan in regards to the research process is very essential as it helps to reach to a desired result. It is helpful in this case as it allows creating numerical which can measure the results either in the positive, negative and null sense of the proposal (N).One can reach to the objective of this research through application of the primary data collection methods. The survey to be conducted on the part of the experiment is the deciding factor of the whole phenomenon (Awang 2014). The quantitative questionnaire for the lecturers and academicians are as follows:
It received an overwhelming response. Primarily the lecturers were agitated but on better understanding they came up with the responses to the distributed survey forms. Undoubtedly the discussions will include the controversial factor associated with this research topic. The professionals who study their subject of choice and their application of the theories will entail the objective of this quantitative analysis. Out of the 30 subject experts, there were no responses from 2 people, which reduced the whole analysis on 28 lecturers. This result has been considered in the final procedure while claiming the generated output form this research. The output on following experiments as well as research motivation to increase interest in the subject will be judged and whether the effect turns out to be feasible will be looked into while analysis the research. The questionnaire involved questions relating to the issue raised and proposed suggestions and honest views regarding the current situation. There involvement of the education sector was received high appreciation from each of the conducted survey form. The important elements determining the results had a shocking percentage which revealed the philosophies of the academicians (Bryman 2014).
The conclusion that has derived after conducting the survey on a group of professionals in their field of subjects can be used purposefully in attaining better perspective on the part of the students. It is also useful for the teachers involved in framing the modules of the subject and imparting knowledge about it. The applied methodology for this research is quantitative. The approach of conducting a survey among a group of lecturers was evident of the various perspectives that have emerged out of this research.
This analysis is significant for evaluating the viewpoint of the academicians, which can be opined on the basis of the obtained results. The attempts to understand the theories have revealed different results in different subjects. Any subjects that allow the degrees of Majors like liberal arts and economics or engineering will always be followed by the urge to improve in terms of the practical complications. The recommendations for future research in evaluating the viewpoint of the academicians must include the appropriate theories for deciding the best possible alternative in opting for a subject. Hopefully there will be amendments brought about in the curriculum that will certainly affect the perspectives.
Awang, Z., 2014. A handbook on SEM for academicians and practitioners: Step by step practical guides for the begineers (Vol. 2 Firs.). Perpustakan Negara Malaysia: MPSW Rich Resources.
Babin, L.A., Lopez, T.B. and LaFleur, E.K., 2015. Academicians’ and Practitioners’ Views of Marketing Students’ Required Knowledge and Skills: A Structured Abstract. In Marketing Dynamism & Sustainability: Things Change, Things Stay the Same… (pp. 325-326). Springer International Publishing.
Bryman, A., 2015. Social research methods. Oxford university press.
Chandra-Mohan, R., Thomas, S., Wong, T. and Sundaram, S., 2015. A content analysis of assessment tasks of academicians from different disciplines. In 3rd Dubai International Conference in Higher Education (pp. 263-269). Brown Walker Press.
Administration and Policy in Mental Health and Mental Health Services Research, 42(5), pp.533-544.
Goodman, J.K., Cryder, C.E. and Cheema, A., 2013. Data collection in a flat world: The strengths and weaknesses of Mechanical Turk samples. Journal of Behavioral Decision Making, 26(3), pp.213-224.
Neuman, W.L., 2016. Understanding research. Pearson.
Palinkas, L.A., Horwitz, S.M., Green, C.A., Wisdom, J.P., Duan, N. and Hoagwood, K., 2015. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. APunch, K.F., 2013. Introduction to social research: Quantitative and qu
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