About the Workshop

The Academic Writing Workshop is designed to guide research scholars, academicians, and postgraduate students in mastering the craft of writing clear, coherent, and publishable academic papers.

This workshop provides a comprehensive overview of writing for various research designs and review papers while integrating responsible use of AI tools to enhance precision, structure, and scholarly depth.

Participants will learn to write every major section of a research paper, including the Introduction, Literature Review, Theoretical Underpinning, Research Methodology (for various research designs), Findings, Discussion, Conclusion, and Implications. The sessions will be highly practical, focusing on clarity, argument flow, and alignment with academic journal standards.

Learning Objectives

· Understanding the Landscape of Academic Writing → Explore how writing styles and structures differ across empirical, conceptual, and review-based research designs.

· Writing Each Section of a Research Paper → Gain step-by-step guidance on drafting strong introductions, comprehensive literature reviews, theoretical frameworks, well-structured methodologies, and insightful findings and discussions.

· Academic Writing Essentials with Responsible AI Support → Learn how to leverage AI tools ethically for idea generation, organization of literature, and refining academic tone and clarity.

· Structuring Academic Papers and Theses with Clarity → Master the logical flow and coherence required for impactful research writing and effective argument development.

· Enhancing Readability and Scholarly Rigor → Understand how to present ideas with academic precision, manage citations effectively, and improve readability for peer-reviewed publication.

· Publishing and Presentation Readiness → Discover practical tips on journal selection, responding to reviewers, and ensuring your manuscript meets publication ethics and formatting guidelines.

Facilitator

Dr. Shalini Sahni
Founder-Koach Scholar
Academic Researcher & Mentor