HANDS-ON LEARNING
Workshops
Workshop 1: AI-Powered Data Visualization & Dashboarding for Research
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Focus: Using AI-driven tools (Tableau + ChatGPT plugins, Power BI with Copilot, Python + Plotly AI assist) to transform raw research data into interactive dashboards.
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Outcome: Participants leave with a working dashboard that can present their own data interactively.
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Why: Researchers need to communicate complex findings clearly to academics, policymakers, and industry.
Fri, Nov 28, 2025
09:oo am to 11:00 am
Workshop 2: Structural Equation Modeling (SEM) for Advanced Research Analysis
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Focus: This workshop introduces participants to the theory and practice of SEM, a powerful statistical technique for testing complex relationships among observed and latent variables. Using relevant platforms, participants will learn step-by-step how to specify models, evaluate fit indices, and interpret outputs.
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Outcome: By the end of the workshop, participants will have constructed, tested, and validated their own SEM model, with guidance on reporting SEM results for high-impact journals.
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Why: SEM is increasingly recognized as a gold-standard analysis method in the social sciences, education, management, and psychology. This workshop equips participants with hands-on analytical skills to strengthen the rigor and credibility of their empirical work.
Thur, Nov 27, 2025
08:oo am to 11:00 am
Workshop 3: AI-Enhanced SLR with Scoping & Bibliometrics
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Focus: Hands-on with Scopus, Connected Papers, Scite.ai, Elicit.org, VOSviewer, and Biblioshiny to automate literature discovery, mapping, and synthesis.
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Outcome: Each participant produces a mini literature map + AI-generated synthesis relevant to their field.
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Why: Systematic reviews are time-consuming; this workshop makes the process faster, more rigorous, and publication-ready.
Thur, Nov 27, 2025
08:oo am to 11:00 am
Workshop 4: Build Your Own GPT - From Model Basics to Custom Applications
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Focus: This workshop walks participants through the process of creating and fine-tuning their own domain-specific GPT model for research and education. Using accessible platforms, attendees will learn how to prepare datasets, design prompts, and integrate a custom GPT into applications like literature review & research assistants, tutoring agents, etc.
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Outcome: By the end of the workshop, participants will have developed and deployed a functioning custom GPT prototype tailored to their personal research or academic needs.
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Why: While LLMs are widely used, few researchers understand how to customize and operationalize them. Participants gain critical skill for the future of scholarly work as they move from using LLMs as generic AI tools to specialized research companions.
Sat, Nov 29, 2025
09:oo am to 11:00 am
Facilitators
Dr. Caleb C. Chinedu (Malaysia)
Google Scholar: https://scholar.google.com/citations?user=UPswdpcAAAAJ&hl=en
Dr. Hassan Abuhassna (Malaysia)
Google Scholar: https://scholar.google.com/citations?user=fuZ4SMcAAAAJ&hl=en
Dr. Solomon A. Oluyinka (Philippines)
Dr. Solomon A. Oluyinka
Google Scholar: https://scholar.google.com/citations?user=9uJiSwYAAAAJ&hl=en
DTBU, Workshop Facilitator (UK)
Dr. Solomon A. Oluyinka
Google Scholar: https://scholar.google.com/citations?user=9uJiSwYAAAAJ&hl=en