Module 4 brings the research process together by focusing on academic writing, interpretation of findings, responsible use of artificial intelligence, manuscript development, journal selection, publication, and research quality control.
Participants will learn how to present quantitative and qualitative findings appropriately, distinguish between Results and Discussion, develop an effective abstract and conclusion, and use AI tools responsibly within the research workflow. The module then progresses to manuscript preparation, journal selection, submission, peer-review responses, plagiarism/similarity checking, and thesis/dissertation quality control.
The final workshop allows participants to present a Mini Research Proposal or Research Article Plan and receive peer and trainer feedback.
By the end of this module, participants will be able to:
Key Areas
A. Writing Research Findings
B. Results vs. Discussion
C. Abstract & Conclusion
D. AI in Research
The source course explicitly incorporates ChatGPT, Claude, Gemini and Consensus into the research workflow.
Practical Workshop: Participants will use their own research topic to develop a Results/Discussion framework and research abstract.
Key Areas
A. Manuscript Development
B. Journal Selection
C. Article Submission
D. Quality Control
E. Thesis/Dissertation Support
Final Workshop: Each participant will present a Mini Research Proposal / Research Article Plan, followed by structured peer and trainer feedback.
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