Don’t waste time using ChatGPT for your academic research needs.
It provides incorrect references and out-of-date information.
Instead use AI-powered tools that are designed for academics:
Search and Discovery
AI-Powered Search Engines - Use AI-enhanced search engines to help you find relevant articles, books, and scholarly sources more efficiently.
For this, R Discovery provides you with a feed tailored to your research interests.
Literature Organisation
Reference Management Software - Tools like Zotero, Mendeley, or EndNote can help you organise and manage your references.
MyBib has a Chrome extension which allows for importing, adding and formatting references.
Content Summarisation
Text Summarisation Tools - AI-based summarisation tools can help you generate concise summaries of articles, making it easier to extract key information from a large number of sources.
For this, ChatPDF is a great tool to understand research papers.
Literature Review Writing
Generate outlines to jumpstart your literature review. For example, you can input your key points and let AI generate a draft, which you can then refine and expand upon.
is a great option to help overcome writer's block. Jenni.ai
Grammar and Proofreading
Grammar and Proofreading Tools - AI-powered grammar and spell checkers to assist in improving the overall quality of your writing.
For this, Paperpal is a powerful option tailored for academic writing.
Collaboration and Feedback
Use collaboration platforms which may incorporate AI tools for real-time collaboration and feedback from peers or advisors.
Again, R Discovery works well for creating shared reading lists and collaboration.
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Here are 6 strong examples of ways to be critical in a thesis:
1. Comparative Analysis
Compare and contrast different theories, methodologies, or findings relevant to your research question. Discuss the strengths and weaknesses of each approach.
Evaluate how your research builds upon or challenges existing frameworks.
2. Identifying Limitations
Acknowledge the limitations of your own research design, data collection methods, or theoretical framework. Discuss how these limitations may impact the validity and generalisability of your findings.
Here's are questions to ask yourself when reflecting and critiquing research papers:
(1) consider a counter-argument - an objection, alternative, or problem that a
skeptical reader might raise
(2) define your terms or assumptions (what do I mean by this term? what am I assuming here?)
(3) handle a newly emergent concern (but if this is so, then how can X be?)
(4) draw out an implication (so what? what might be the wider significance of the argument I have made? what might it lead to if I’m right? or, what does my argument about a single aspect of this suggest about the whole thing? or about the way people live and think?)