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ILT
Each artefact represents the same instructional intent, expressed through different design modalities. Together, they illustrate how tool choice influences instructional depth, reflection, and designer control.
Each artefact represents the same instructional intent, expressed through different design modalities. Together, they illustrate how tool choice influences instructional depth, reflection, and designer control.
Project Status:
This ILT module is currently in active development. The artefacts presented here document the instructional design process, modality exploration, and design decision-making prior to final delivery and evaluation.
Actually, not “just an outline”...
This artefact functions as an instructional design blueprint, capturing my thinking before any visual or technical constraints were introduced.
It demonstrates:
Intentional instructional architecture
Clear sequencing and scaffolding of learning experiences
Trauma-aware pacing and emotional safety considerations
Alignment between objectives, learning activities, and reflection moments
Why it matters:
Working at this level allowed me to reason about pedagogy, flow, and learner experience independently of tools, establishing a strong foundation for all later builds.
This artefact represents the same blueprint built deliberately by hand, allowing for sustained reflection and iterative refinement.
It demonstrates:
Translation of instructional intent into visual and spatial design
Design decisions informed by facilitator needs and learner cognitive load
Deeper editorial revision driven by manual layout constraints
Iterative improvement of language, pacing, and learner direction
Why it matters:
The hands-on process encouraged deeper reflection and resulted in more nuanced instructional edits, particularly around clarity, tone, and emotional pacing. While significantly slower and less time-efficient than AI-assisted tools, this approach provided greater control over instructional nuance and learner experience.
This artefact explores the same instructional design through an AI-assisted modality, emphasizing speed and visual cohesion.
It demonstrates:
Rapid generation of a visually coherent, polished presentation
Effective use of AI-generated layouts and imagery
Editable content blocks that support fast iteration and experimentation
Design takeaway:
Gamma proved highly effective as a visual prototyping tool. However, its automation constrained granular instructional decisions, particularly around reflection prompts, emotional pacing, and facilitator-led cues — reinforcing the importance of designer agency for sensitive, trauma-aware learning contexts.
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