Description
Course Description:
This course is designed to equip learners with the knowledge and skills necessary to conduct high-quality systematic literature reviews using AI tools. The course will cover the various stages of the systematic literature review process, including conceptualizing and developing effective research questions, Identifying gaps in literature, developing an effective search strategy, literature synthesizing using AI tools, reporting results using AI tools in accordance with established guidelines. The course will also cover the strengths and limitations of AI tools in literature reviews and provide learners with the opportunity to apply these tools in practice.
Teaching Methodology:
The course will be conducted through a combination of live sessions, video tutorials, interactive sessions, and review and feedback on the work submitted by learners. The live sessions will be conducted over four weeks, with one session per week, and will be delivered via Zoom. The live sessions will provide an opportunity for learners to interact with the course instructor and their peers, ask questions, and receive feedback on their progress.
The video tutorials will cover various aspects of conducting literature reviews using AI tools, and learners will be able to access these tutorials at their own pace. The interactive sessions will be designed to allow learners to apply the knowledge and skills gained in the course to their own research projects. Learners will also have the opportunity to receive feedback on their work and engage in peer-to-peer review.
Module 1: Introduction to Systematic Literature Reviews and AI Tools
- Overview of the course and learning objectives
- Introduction to systematic literature reviews and their importance in research
- Types of AI tools available for use in literature reviews
- Advantages and disadvantages of using AI tools in literature reviews.
Module 2: Formulating effective research questions for Systematic Review
- Formulating research questions and identifying search terms using AI tools
- Designing search strategies and selecting appropriate databases
- Conducting effective searches using AI tools
- Prompt Engineering for Developing effective research questions using ChatGPT and AI
Module 3: Conducting a Systematic Literature Review using AI Tools
- Screening literature for relevance using AI tools
- Extracting data from selected literature using AI tools
- Analyzing and synthesizing data using AI tools
- Prompt Engineering for summarizing, comparing and synthesizing literature using ChatGPT and AI tools
Module 4: Reporting a Systematic Literature Review using AI Tools
- Using AI tools to generate summary reports and visualizations
- Preparing research articles for High impact journals
- Examples and article templates
Assessment and Feedback:
Learners will be assessed through a combination of assignments, quizzes, and a final project. The final project will be a literature review using AI tools, which learners will develop and submit for feedback. The instructor will provide feedback on learners’ progress throughout the course, and learners will also have the opportunity to engage in peer-to-peer review.
Tools included
- R studio (Biblioshiney)
- Chat GPT
- ai
- Elicite
- Scholarcy
- Bing
- Microsoft Excel
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