I'm researching the relationship between digital literacy, creative thinking disposition, and academic performance in pre-service visual arts teachers in Ghana, with GenAI literacy as a mediator. What research methodology would be most suitable for exploring these relationships, considering both quantitative and qualitative approaches? Any suggestions on methods for data collection and analysis would be greatly appreciated.
I suspect that your sample size would not be large enough to support a quantitative analysis, so on the qualitative side, you could conduct in-depth individual interviews or focus groups. The primary limitation with focus groups is recruitment, so ask yourself how easy or difficult it would be to get 5 or 6 participants together in the same place at the same time.
David L Morgan Thanks for your insight; this is very helpful for my study.
- For Digital Literacy use an established scale such as the Digital Competence Framework (DigComp).
- Creative Thinking Disposition: Adapt a tool like the Torrance Tests of Creative Thinking or a similar creative disposition inventory.
- Collect self-reported GPA or grades, supplemented with institutional records if possible for academic performance rating.
- GenAI Literacy: Develop a new scale or adapt existing digital literacy tools to include questions specific to generative AI understanding and use.
Ketevan Gegenava I appreciate your input; it has given me a clearer direction.
How large a sample are you likely to get? Estimating as many scales as Ketevan Gegenava recommends would require somewhere between 150-250 participants.
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