AI Lecture Redesign — Case Study
From Plain Text to Visual Clarity
A real MIT lecture with 8 slides — redesigned by Arty into a clear, engaging, student-friendly deck. Every word preserved, only the design improved.
📄 8 slides transformed
🎓 MIT OpenCourseWare
🤖 Style: Academic Lecture
Why This Deck Needs a Redesign
This lecture from MIT's "Infrastructure and Energy Technology Challenges" course covers the Food vs Fuel debate — a thought-provoking topic on biofuels, food security, and global trade. However, the original slides rely almost entirely on plain text and bullet points, which creates several problems for student learning:
- 📝 Dense bullet-point text with no visual anchors — students read instead of listen, causing cognitive overload
- 🏷️ Generic headings like "Biofuels" instead of clear takeaway statements that convey the slide's main point
- 🎨 No visual hierarchy — titles, questions, and body text all look the same size and weight
- 📊 Missed opportunities to visualize data, comparisons, and processes that could make complex ideas instantly graspable
Arty's redesign follows evidence-based lecture design principles: one idea per slide, heading as takeaway, short keyword guide-posts instead of full sentences, and visual metaphors to reinforce each concept — all while keeping the original content untouched.
Before
Default template, small text, no visual hook
After
Clear title hierarchy, topic-relevant visual, institutional credit preserved
Before
Plain text placeholder, no visual context
After
Visual framing, clear source reference, readable hierarchy
Before
Identical layout to slide 2, no differentiation
After
Distinct visual treatment, content-aware layout
Before
Text-only reference to global data
After
Visual framing of global concept, clear source guidance
Before
Two long questions in small bullet text
After
Each question gets its own visual space, icons for quick scanning
Before
Nested bullets, no visual differentiation between concepts
After
Factors organized visually, clear conceptual grouping
Before
Wall of text — three complex questions with sub-points
After
Numbered discussion blocks, visual separation, scannable at a glance
Before
Three questions in small text, no visual weight
After
Visual emphasis on key reflection points, memorable closing