Overview
This Graphic Novel assessment challenges student groups to produce compelling AI-generated imagery that drives their training manual content. Students select appropriate GenAI tools, craft effective prompts, and create visual narratives around specific human resource development themes. This assessment focuses on content knowledge, storytelling ability, and research integration rather than visual quality, ensuring equity regardless of tool access while developing digital literacy skills.Â
Dr Renee Ralph
Faculty of Business & Law
About my unit: Faculty of Business & Law | Under 50 students | Hybrid | Group work
Dr. Renee Ralph from Curtin University’s School of Management and Marketing shares her innovative approach to assessing postgraduate Human Resources Development students through artificial intelligence-enhanced visual storytelling. This Lane 2 assessment challenges diverse international students to collaborate and create AI-generated graphic images while developing compelling original visual narratives for Human Resources Development training manuals, transforming traditionally dry content into engaging stories.
The assessment scaffolds learning by teaching appropriate artificial intelligence prompting techniques and content attribution while emphasising storytelling skills alongside technical visual creation. Students work in teams to bring real Human Resources Development issues to life through artificial intelligence-generated imagery, with evaluation focused on content knowledge and narrative construction. This approach ensures equity by assessing understanding and communication abilities rather than access to premium artificial intelligence tools. The project prioritises collaboration as students align creative visions to produce cohesive training materials, developing both traditional Human Resources Development competencies and contemporary digital literacy skills essential for future careers.
Suggested Marking Criteria
Note: Marking criteria and weighting are suggested guidelines. Specific descriptions should be adapted to relevant content and learning objectives.