AI-Powered Systematic Literature Reviews (Batch 5)

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About Course

Revolutionize your research process with cutting-edge AI tools and strategies!
Are you tired of spending endless hours sifting through mountains of research? This masterclass empowers you to streamline your systematic literature review (SLR) workflow using the power of AI. From precise literature searches to intelligent data synthesis, gain the skills you need to automate and elevate every stage of your SLR process.

Discover advanced techniques like AI-powered prompt engineering, strategic research question development, and intelligent data curation. Take your research to the next level with tools designed to assist in synthesis and theory development.

Unlock new possibilities in research with this masterclass designed to save time, increase accuracy, and enhance your insights!

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What Will You Learn?

  • Craft Precise Prompts:
  • Master the art of prompt engineering to optimize AI-driven literature searches and data extraction.
  • Targeted Research Questions:
  • Develop research questions fine-tuned for AI-powered workflows, ensuring focus and clarity.
  • AI Tools Expertise:
  • Gain hands-on experience with state-of-the-art AI tools for data collection, filtration, and synthesis.
  • Seamless Integration:
  • Learn to integrate AI-generated insights into your research for streamlined theory development and impactful outcomes.
  • AI tools:
  • ChatGPT
  • Gemini
  • Copilot
  • Microsoft Excel AI
  • SCISPACE
  • Elicit
  • Powerdrill AI
  • Jenni AI
  • Notebook LM
  • Napkin AI
  • Scholarcy
  • and many more

Course Content

Module 1: Crafting Powerful Research Questions with AI
Introduction to the masterclass and SLR methodology. How to develop impactful research questions using ChatGPT and prompt engineering. Live Session: Step-by-step guidance on crafting research questions.

Module 2: Data Extraction Strategy
PRISMA guidelines for literature searches. Leveraging SCOPUS for data export and Microsoft Excel AI for analysis. Live Session: Interactive session on search strategies and data extraction. Assignment: Self-assessment on research question and data extraction.

Module 3: AI-Powered Literature Synthesis & Theory Development
Tools like SCISPACE for data extraction from PDFs and Powerdrill AI for thematic analysis. Live Session: Advanced techniques for integrating AI into synthesis and theory development. Guidance on identifying research collaboration opportunities using profile data.

Module 4: Review and Reporting
AI tools like Jenni AI and Notebook LM for drafting high-quality research papers. Live Session: Final session on AI-powered review and reporting. Tools like Napkin AI for converting text into visuals for enhanced presentation.

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