Course Overview

This workshop unpacks the triad of advanced review methods — Systematic Literature Review (SLR), Bibliometric Analysis, and Meta-Analysis —to equip scholars with the frameworks, tools, and techniques needed to conduct rigorous, transparent, and publication-ready research.

In this workshop, participants will explore how AI tools streamline search, screening, bibliometric mapping, automated SLR sheets, and synthesis writing—enhancing efficiency while maintaining academic rigor.

Learning Outcomes

• Differentiate systematic literature reviews from narrative reviews
• Apply globally recognized protocols such as PRISMA and SPAR-4-SLR
• Develop robust search strategies across major academic databases
• Use bibliometric analysis to uncover research trends, author networks, and knowledge structures
• Perform meta-analysis to synthesize quantitative evidence, calculate effect sizes, and assess heterogeneity
• Evaluate risk of bias and address publication bias in secondary research
• Leverage AI-assisted SLR tools and sheets for faster screening, synthesis, and data management
• Present findings in a structured format aligned with top-tier journal requirements

Tools & Resources

Biblioshiny, VOSviewer, Gephi, IRaMuTeQ, R Bibliometrix, EPPI-Reviewer, RevMan, AI-assisted tools for search, screening, synthesis, and visualization.