Introduction and Generative AI
Training orientation, research challenges, generative AI foundations and responsible academic use.
Open Part 1 →TRAINING LEARNING RESOURCES
Open the training slides, choose a research-focused AI prompt, or download concise and detailed learning materials.
PRACTICAL · SOURCE-GROUNDED · REUSABLETRAINING SLIDE PRESENTATION
Open each PDF in sequence during the corresponding training session.
Training orientation, research challenges, generative AI foundations and responsible academic use.
Open Part 1 →Discover the research landscape, investigate trends and gaps, and identify evidence for article positioning.
Open Part 2 →Analyse uploaded literature, compare evidence, build defensible gaps and create source-grounded Studio outputs.
Open Part 3 →Develop, review and strengthen manuscript sections, submission materials and reviewer responses.
Open Part 4 →RECOMMENDED QUICK REFERENCE
A five-page printable PDF, one page per module, with key takeaways, the module's main prompt pattern, a glossary and a QR code back to the live page.
Key takeaways, main prompt pattern, glossary and a QR code for each of the five modules, ready to print or keep on your phone.
Open the Cheat Sheet (PDF) →DETAILED PRINTABLE NOTES
Every module's objectives, glossary, step-by-step tool guides (Scopus AI, Publish or Perish, Gemini Notebook, Research Matrix builder, Chart-Type Decision Helper, AI Disclosure Builder and more), worked examples, every exercise with a model answer, an AI tools table, a Traditional vs AI comparison, common pitfalls, a recap and blank pages for your own notes.
Boolean search, Scopus AI, Publish or Perish, citation snowballing and the CRAAP test, with model answers for every exercise.
Open Module 1 Notes (PDF) →FINER criteria, Gemini Notebook, problem trees and gap-spotting, with model answers for every exercise.
Open Module 2 Notes (PDF) →Research matrix types, concept mapping and mind-mapping tools, with model answers for every exercise.
Open Module 3 Notes (PDF) →Chart-Type Decision Helper, spotting misleading charts and bibliometric mapping tools, with model answers for every exercise.
Open Module 4 Notes (PDF) →Deep research, AI disclosure statements, verifying AI-drafted text and citation conversion, with model answers for every exercise.
Open Module 5 Notes (PDF) →AI PROMPT QUICK ACCESS
Begin with the four prompt resources used directly in the workshop, then open a specialised builder or review workflow when needed.
Explore the Complete AI Prompt CentreExplore trends, research gaps, methods, frameworks, evidence strength and defensible article positioning.
Explore Scopus AI Prompts →Compare uploaded sources, synthesise evidence, develop the manuscript and address reviewer feedback.
Explore Gemini Notebook Prompts →Create source-grounded infographics, slide decks, audio, video, mind maps, quizzes and critical reports.
Explore Studio Prompts →Combine the output, purpose, audience, evidence, structure, style and constraints in one concise brief.
Build a Studio Prompt →Move from article positioning and manuscript development to submission, reviewer response and resubmission.
Explore Publication Prompts →Select an editorial or peer-review perspective and generate a structured Microsoft Word report with a dedicated cover page.
Choose a Manuscript Review →Align research design, sampling, data collection, analysis, interpretation, validity and reproducibility.
Explore Methodology Prompts →Move from protocol and search strategy to screening, appraisal, synthesis and PRISMA reporting.
Develop an SLR →Create a rigorous journal-review prompt for the complete systematic literature review article uploaded by the user.
Build an SLR Review Prompt →Plan, execute and verify multi-step publication tasks while keeping researchers responsible for every scientific decision.
Explore Agentic AI Workflows →FROM DISCOVERY TO SUBMISSION
Twelve stages from literature discovery and research design to analysis, submission and reviewer response. Each stage links to the most relevant module, prompt or checklist.
Build a Boolean search string, search core databases and Scopus AI, then shortlist papers with citation snowballing and the CRAAP test.
Go to Module 1 →Turn your shortlist into a problem tree, spot gaps across sources, and pressure-test candidate questions against the FINER criteria.
Go to Module 2 →Align the research question with the design, sampling, data collection, validity requirements and planned analysis.
Explore Methodology Prompts →Build a research matrix and concept map so every source's method, findings and gap are structured before writing.
Go to Module 3 →Document recruitment or dataset selection, instruments, procedures, preprocessing, ethics, deviations and the audit trail.
Plan Data Collection →Check assumptions, apply the planned analysis and interpret only verified outputs without inventing or overstating findings.
Explore Analysis Prompts →Choose an appropriate chart and produce accurate, fact-checked figures, diagrams or infographics.
Go to Module 4 →Develop each section with AI as a responsible writing partner, verify every claim and prepare the AI disclosure statement.
Go to Module 5 →Check content, citations, AI use, formatting and technical details before anyone else reads the draft.
Go to the Checklist ↓Use an editorial review prompt to identify desk-rejection risks, major weaknesses and prioritised corrective actions.
Explore Review Prompts →Check similarity, references, journal formatting, cover letter, declarations and supplementary files before submission.
Open Publication Prompts →Track each comment, revise the manuscript and prepare an evidence-based response with exact manuscript locations.
Explore Reviewer-Response Workflows →Developing a systematic literature review? Follow the dedicated SLR Development Prompts from protocol and search strategy to appraisal, synthesis and PRISMA reporting.
PRE-SUBMISSION CHECKLIST
Work through each category before sending your manuscript to your supervisor, co-authors or the journal. Your progress is saved in this browser only, on this device.
Responsible use: Remove confidential information, check every source, and follow the target journal's AI-use and disclosure policy before you submit.