Some agile ways to do follow-up study based on the acceptable dissertation proposal prototype produced by AI: for MBA and Housing Studies students
1. Ask AI tools to highlight the main ideas of the theories mentioned in the proposal.
2. Ask AI tools to suggest how specific theories can be employed to inform a specific research method to be employed, such as how theory A could be employed to formulate 1-2 questions in the survey questionnaire. Then, also ask AI tools to suggest how the theories can be employed subsequently to analyze the research methods findings.
3. Ask AI tools to recommend a few YouTube videos to learn some of the theories and concepts mentioned in the proposal prototype. To speed up the learning, you could increase the playback speed to 1.25 (up to 1.5, maybe).
4. Ask AI to briefly explain the concepts and theories mentioned; it is also useful to ask AI describe briefly the evolution history of the concepts and theories.
5. Ask AI to discuss to compare and contrast 2-3 theories mentioned in the dissertation proposal as well as suggesting how these theories can be employed in a complementary way to inform your dissertation project work.
6. In case you find the description and explanation of the concepts and theories remain abstract to you, ask AI to provide a few examples to illustrate how the concepts and theories are employed.
Lastly, ask AI to provide references of the concepts and theories mentioned in the proposal prototype in Harvard reference format, and start to conduct some conventional literature review by studying the articles and other reading materials (e.g. books) to develop further understanding of these concepts and theories, and beyond (e.g. using some more concepts not mentioned in the proposal prototype). You need to go to the university e-library and google scholar to perform the literature search.
Ultimately, it is up to the student to figure out their time management plan and learning mindset to effectively go through the reflective, critical and deep learning process.
A collection of blog notes on using chatgpt for research purpose.
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