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AI-Assisted Literature Review and Academic Source Management
- Duration
- 2 days
- Format
- Intensive Course
- Competency Levels
- Role-Based Application
AI-Assisted Literature Review and Academic Source Management equips participants to produce literature matrix, research gap, paper summary through hands-on, work-based practice.
The Kerjabaik Academy team will help adjust the schedule, format, and your organization's in-house needs.
Request ScheduleLearning Outcomes
- prepare literature matrix
- identify research gaps
- summarize papers
Learning Topics and Activities
- 1.Literature Search
- 2.Source Matrix
- 3.Gap Analysis
- 4.Paper Summary
Designed for
- lecturers
- researchers
- students
- research analysts
Challenges Addressed
- literature reviews are not systematic
- research gaps are unclear
- sources are not documented
Practical Activity
Prepare a literature matrix, research gap, and paper summary.
Learning Outputs
- literature matrix
- research gap
- paper summary
Responsible Use Practices
- human-in-the-loop
- source matrix
- risk checklist
- sensitive data restrictions
Tools
- ChatGPT
- Gemini
- Microsoft Copilot
- Google Docs / Microsoft Word
- Google Sheets / Microsoft Excel
- NotebookLM
- Perplexity