Synthesizing AI in STEAM: Visual Storytelling as a Meaning-Making Connector Between Bio-Inspired Design and Creative Expression

Synthesis: Malkani and Paul (2026) report an exploratory case study in a sixth-semester bio-inspired design course where 20 interior and furniture design students used AI image tools to turn biological source material into visual stories. Five student works were analyzed along two dimensions: the conscious use of visual attributes, and the communication of the biological design idea through narrative. The authors argue that visual storytelling helped students move from imitating nature to designing with it — from literal scientific illustration toward user-centered scenarios — and that AI made a wider range of visual styles accessible. The study is small and descriptive, with no comparison condition or assessment of learning outcomes, so its value is as a design example rather than as evidence of effectiveness.

Key Findings

1. Three distinct visual approaches appeared. Student works did not follow a single pattern; the authors categorized them in three ways, arguing that a single measure would understate the diversity of expression.
2. Narrative carried the biological idea. In the analyzed works, the concept from the bio-card remained the core of the visual story, and the narration was independent of the tool used to produce the imagery.
3. Student-driven scenario building preserved design cognition. In one work the student authored the scenario, the design need and the sequencing, with AI supporting image creation only — the authors read this as evidence that design thinking remained with the student.
4. Visual style was chosen for meaning. One work used a monochrome narrative shifting into a color-coded diagram, another a recurring character and consistent palette; students selected styles to suit the story rather than for artistic effect.
5. AI lowered the barrier to visual exploration. The authors argue that access to generated imagery let students try styles they could not have produced by hand, which supported meaning-making rather than replacing it.

The course and the exercise

The setting was a bio-inspired design (BID) course in the Interior and Furniture Design program at Karnavati University. BID asks students to move from a biological fact to a design solution, and the authors note that students often struggle with the representational gap: technical biological content is hard to translate into a user-centered design proposal, and hand-produced diagrams tend to stay literal.

The visual storytelling exercise was inserted at the second stage of the design process, after students had explored ideas using bio-cards — a template-based sprinting method. Students selected interventions from their cards and developed visual storyboards depicting user scenarios. All 20 students in the course participated; the analysis focuses on five works. Students had design, visualization and digital software skills and basic prompting experience, and were free to choose their interventions.

How the works were analyzed

The analysis used two dimensions. The first traced how visual attributes — style, palette, character, sequence — were used consciously to construct the story. The second examined how the biological design detail and the narrative were communicated, and whether the story connected the biological input to a human-centered scenario. The authors describe this as a qualitative, descriptive case-study design, consistent with prior work in similarly structured BID courses.

The results are presented as a small set of observations tied to figures and a table of visual styles. The authors identify a shift from imitation to design: instead of illustrating a biological mechanism, students built scenarios in which a user encountered a problem that the bio-inspired idea could address. In the example they discuss, a child's emotional reaction to spoiled produce becomes the need that motivates a detection system — a move from describing a mechanism to reasoning about a user.

What this means for practice

• Use visual storytelling as a bridge, not a deliverable. The pedagogical value lies in translating technical material into a user scenario, not in producing polished images.
• Keep scenario construction with students. The work in which the student authored the need and sequence, with AI only generating imagery, is the clearest example of preserving design cognition.
• Teach style as a meaning choice. Asking students to justify palette, character and sequence in relation to the story turns image generation into design reasoning.
• Analyze a range of works, not one exemplar. The three-category result suggests that studios should expect varied approaches and assess them against the narrative purpose.
• Do not assume AI raises quality. The study shows accessibility and variety, not better design outcomes.

Limitations

• The study analyzes five works from one course of 20 students at a single university, with no comparison group, no pre/post measure and no assessment of learning gains.
• The analysis is conducted by the course instructors, and the paper does not report a coding scheme, independent coders or agreement checks.
• The categories and observations are descriptive; no rubric, inter-rater reliability or student outcome data are provided.
• AI image tools and prompting practice changed rapidly, and the specific visual results may not generalize.
• The authors present the pedagogical claim — that visual storytelling is a meaning-making connector — as an interpretation of five works rather than as a tested effect.

Citation

Malkani, K., & Paul, A. (2026). Synthesizing AI in STEAM: Visual Storytelling (VS) as a Meaning-Making Connector Between Bio-Inspired Design (BID) and Creative Expression. The Interdisciplinary Journal for Research on Pedagogy and Learning Design, 1(1).