Masters Research Proposal Template

Thus, you must show how your proposed research is important enough to justify your efforts (and the efforts of anyone else involved in your research).You should should also include a statement about how the solution to the problem, or the answer to the question, can influence educational theory or practice.They might change as you conduct your research, but you must still demonstrate that you have given a lot of thought into the practicalities of your research at this early stage.

All proposals have to cover the same core material: description of a problem or issue, a review of relevant literature, identification of research questions or hypotheses, description of appropriate methods to address those concerns.Template 2: For students working in psychological and scientific perspectives.One or two paragraphs that summarise what you will do in the research project and how you will do it.If you are gathering a sample of people or documents, you should outline your procedures for choosing this sample.If you intend on giving interviews or handing out questionnaires, you should provide examples of the types of questions you will ask.Research involving human participants must also be approved before the research commences by the University of Auckland Human Subjects Ethics Committee.Ethical concerns can arise in how research is conducted and the ways these research findings may later be used.You must take into account any areas of responsibility towards your research subjects at the planning stage, and provide strategies for addressing them in the methodology.Examples of areas of responsibility could include: A research proposal involving Māori and minority groups/communities should demonstrate that the researcher has had adequate background preparation for working in that area.Please check with your supervisors as to the template they want you to use.Template 1: For students working in sociological, philosophical, and critical theory perspectives.

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  1. The discovery that AI systems were not capable of solving simple logical problems that humans can easily solve resulted in significant reductions in research funding for artificial neural networks, and most researchers of this era decided to abandon the field.