4.67
(3 Ratings)

AI-Powered Systematic Literature Reviews (Batch 4)

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About Course

Tired of spending weeks wading through research for your next systematic review? This comprehensive online masterclass unlocks the power of AI to automate and enhance every stage of your SLR process. Learn cutting-edge techniques like AI-powered prompt engineering for targeted literature searches, crafting optimal research questions for AI analysis, and intelligent data curation – all designed to streamline your workflow and accelerate discovery. We’ll even explore how AI can assist with literature synthesis and theory development, taking your research to the next level.

Revolutionize your research approach with this comprehensive online masterclass! Harness the power of AI to streamline every stage of your systematic literature reviews (SLRs) and gain a competitive edge.

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What Will You Learn?

  • Master the art of Prompt Engineering to craft precise prompts for optimal literature search and data extraction.
  • Develop the ability to formulate clear, targeted research questions optimised for AI-powered workflows.
  • Gain hands-on experience with cutting-edge AI tools for data collection, curation, filtration, and synthesis.
  • Learn strategies to seamlessly integrate AI-generated insights into your research and theory development.

Course Content

Module 1: Crafting Powerful Research Questions Using AI
Recognizing the significance of well-defined research questions in SLRs. Identifying the essential components of effective research questions. Expert Interview: Hear from a researcher who actively utilizes AI in their work and how they formulate research questions for AI-driven reviews. Interactive Poll: Participate in a live poll to explore best practices for AI-optimized research questions.

  • Introduction to Module 1
    02:06
  • Live session: Intorduction to the Masterclass
    01:16:22
  • Introduction to Systematic Literature Review Steps
    11:46
  • Developing A Rerearch Question
    13:19
  • Developing Research Question using ChatGPT
    13:11
  • Key prompts for developing Research Question
    13:41

Module 2: Data Extraction strategy
Introduction to a diverse range of AI-powered tools designed for data collection and curation. Hands-on Workshops: Utilize various AI tools through guided workshops to experience data collection, curation, and filtration processes firsthand. Bonus Material: Downloadable cheat sheets outlining key functionalities of different AI tools for continued reference.

Module 3: AI-Powered Synthesis and Theory Development
Exploring advanced AI methodologies for synthesizing vast amounts of literature and fostering theory development. Applying AI tools to extract meaningful insights, patterns, and correlations within diverse research areas. Strategies for seamlessly integrating AI-generated insights into the synthesis and theory development process. Project-Based Learning: Culminate the masterclass by conducting a mini-SLR using AI tools and applying the learned skills to develop a focused research area.

Module 4: Review and Reporting

Additional Learning

Video toturials for writing a Systematic Literature Review Paper

Assessment

Student Ratings & Reviews

4.7
Total 3 Ratings
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PH
Piyathida Horpratoom
4 weeks ago
More understanding of the PRISMA model
TS
Thanwarhat Sodkomkham
2 months ago
Thank you for this course. The content was excellent and provided ideas that can be further developed. The Q&A session during the live session was very well conducted. The teaching format was effective, and the content was comprehensive, allowing me to gain more knowledge about AI.
JS
Joseline Santos
3 months ago
This is a helpful short course. I have discovered lots of AI that I can use in writing and teaching research. Thank you.