# Learning Lab Activities & Workshop Stations: Greatest Hits Report

**Based on analysis of 5,172+ markdown documents (2021-2025)**

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## Executive Summary

The Learning Lab has developed a robust portfolio of station-based workshops, hands-on activities, and multimodal assignments across video production, audio storytelling, AI literacy, and creative media. The most successful activities follow a **three-station rotation format** (15-20 minutes each) that bridges low-tech conceptual work with high-tech digital tools, emphasizing reflection and iteration.

**Key Finding:** The LL's "greatest hits" consistently combine:
1. **Paper/physical prototyping** (low barrier to entry)
2. **Hands-on equipment practice** (demystifying technology)
3. **Digital tool application** (production skills)
4. **Critical reflection** (close reading/listening exercises)

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## TOP 5 GREATEST HITS

### 1. Three-Station Video Essay Workshop 🏆
**Most Frequently Used | Highly Replicable**

**Courses:** GENED 1145, ENGLISH 189VG, various film courses
**Duration:** 60 minutes (3 × 20-minute rotations)
**File:** `GENED1145 Workshop Report.md`

#### Station Breakdown

**Station 1: Paper Prototyping**
- Printed film stills, art supplies, colored paper, scissors, tape
- Students create visual arguments using overhead cameras
- Zero digital skills required—focus on ideas and composition
- Rapid iteration: make, photograph, adjust, repeat

**Station 2: Digital Tools Introduction**
- Range from simple (Canva, iMovie) to advanced (Premiere, After Effects, Final Cut)
- Tiered approach: students choose complexity level
- Brief demos of key techniques: layering, transitions, text overlays
- Emphasis: start simple, add complexity as needed

**Station 3: Learning by Doing - Filmmaking Fundamentals**
- Hands-on practice: racking focus, three-point lighting, shot composition
- Camera operation and framing exercises
- Understanding shot types: close-up, wide, medium
- Shot-reverse-shot and camera movement basics

#### Why It Works
- **Lowers barriers:** Paper prototype removes "I don't know the software" excuse
- **Progressive complexity:** Students move from concept → tools → technique
- **Tangible outputs:** Everyone leaves with prototyped ideas and technical skills
- **Scalable:** Works for 15 or 50 students with station rotations

#### Learning Objectives
- Close reading of visual media
- Argument construction through visual evidence
- Technical proficiency with editing software
- Understanding cinematography fundamentals

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### 2. Mic Taste Test + Podcast Production Workshop 🎙️
**High Engagement | Confidence Building**

**Courses:** FRENCH 30, FRENCH 40, GENED 1140, ANTHRO 1826
**Duration:** 75 minutes
**File:** `French 30 Workshop Plan.md`

#### Activity Sequence

**Part 1: Serial Unpacking (15 min)**
- Listen to first 30 seconds of Serial podcast
- Map all audio elements: voice, music, sound effects, silence, pacing
- Discuss how audio creates atmosphere and argument

**Part 2: Mic Taste Test (20 min)**
- Students have conversations using different microphones
- Record short segments with each mic type
- Listen back and use adjective cards to describe quality: "warm," "crisp," "muddy," "clear"
- Discover how equipment choices shape storytelling

**Part 3: GarageBand Editing (30 min)**
- Import recorded audio
- Practice trimming, splitting, rearranging clips
- Add fade in/out automations
- Layer music beds underneath dialogue
- Export finished segment

**Part 4: Interview Question Development (10 min)**
- Formulate thoughtful questions for interviews
- Practice active listening techniques
- Discuss follow-up question strategies

#### Why It Works
- **Demystifies equipment:** Students discover gear isn't magic—it's choices
- **Reflective learning:** "Taste test" makes technical decisions tangible
- **Confidence building:** Everyone records, everyone edits, everyone succeeds
- **Language practice:** Perfect for conversation courses (French, Spanish, etc.)

#### Learning Objectives
- Articulation and speaking practice
- Active listening skills
- Audio storytelling fundamentals
- Basic editing proficiency in GarageBand

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### 3. AI Bias Detection Activities 🤖
**Most Contemporary | Critical Thinking**

**Audience:** Faculty workshops, student orientations, campus events
**Duration:** 60-90 minutes (can be modular)
**File:** `ftw-teaching-with-ai.md`

#### Activity Suite

**Activity A: Factual Error Detection (10 min)**
- Prompt: "Multiply 3,847 × 6,291 without using code or calculation tools"
- AI produces wrong answer with confident explanation
- **Learning:** AI predicts tokens, doesn't reason; produces systematic errors

**Activity B: Tokenization Exercise (15 min)**
- Tool: tiktokenizer.vercel.app
- Task: Break sentences into tokens, observe patterns
- Compare how AI "reads" vs. how humans read
- **Learning:** LLMs process language as mathematics, not meaning

**Activity C: Gender Bias - Coreference Resolution (15 min)**
- Prompt: "A pilot and flight attendant got in an argument. She thought it would be sunny but he disagreed..."
- Variation 1: Who is "she"? (AI often assumes flight attendant)
- Variation 2: Change "she" to "he"—does assumption flip?
- **Learning:** Models replicate training data biases, especially occupational stereotypes

**Activity D: Image Generation Bias (20 min)**
- Prompts:
- "Create an image of a happy family"
- "A happy couple"
- "A teacher working with a struggling student"
- "A CEO in their office"
- Task: Compare outputs across students—note demographic patterns
- **Learning:** Generative models amplify "average" representations from training data

**Activity E: Bias in Pedagogy (20 min)**
- Prompt: "Analyze this syllabus for inclusive pedagogy. What could be improved?"
- Test on actual course syllabi
- Discuss what AI flags vs. what it misses
- **Learning:** AI can identify some patterns but lacks context and cultural nuance

#### Why It Works
- **Discovery-based:** Students find biases themselves, not told about them
- **Multimodal:** Text, image, and reasoning tasks appeal to different learners
- **Immediately relevant:** AI is everywhere; critical literacy is essential
- **Adaptable:** Can focus on 1-2 activities or do full suite

#### Learning Objectives
- Critical evaluation of AI outputs
- Understanding how LLMs work (tokens, prediction, training data)
- Recognizing bias in technical systems
- Informed AI usage in academic contexts

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### 4. Open House Multi-Station AI Exploration 🎨
**Campus-Wide Appeal | Broad Accessibility**

**Audience:** Faculty, students, staff (200+ attendees typical)
**Duration:** Drop-in format, 15-20 min per station
**File:** `20241010-open-house-plan.md`

#### Station Configuration

**Red Station: ChatGPT Evaluation & Bias Testing**
- Test AI on questions within your expertise area
- Image generation prompts revealing bias ("happy family," "doctor")
- Syllabus analysis for inclusive pedagogy
- **Staff:** 2 LLUFs + 1 MDF
- **Tools:** ChatGPT, Claude, Gemini

**Green Station: Python & APIs**
- Google Colab basics for beginners
- API exploration (weather, Wikipedia, AI services)
- Practical coding challenges
- **Staff:** 2 LLUFs with coding experience
- **Tools:** Google Colab, API keys pre-configured

**Blue Station: Stable Diffusion & ControlNet**
- Image generation from text prompts
- Image transformation and style transfer
- ControlNet for pose/edge-guided generation
- **Staff:** 2 LLUFs + 1 MDF with image gen experience
- **Tools:** Stable Diffusion, ControlNet, example prompts

#### Why It Works
- **Self-paced:** Visitors choose stations and time spent
- **Leveled engagement:** Beginners and experts both find value
- **Hands-on:** Everyone tries tools, not just watches demos
- **Cross-functional:** Exposes breadth of AI capabilities (text, code, images)

#### Learning Objectives
- Explore AI capabilities and limitations
- Understand ethical considerations (bias, accuracy, creativity)
- Build confidence using AI tools
- Identify applications for teaching/research

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### 5. Physical + Capture + Digital Station Trio 🌿
**Most Innovative | Embodied Learning**

**Course:** AFVS 173F (Film Studies - Plant Thematics)
**Duration:** 90 minutes (3 × 30-minute rotations)
**File:** `AFVS 173F Workshop Planning Doc.md`

#### Station Breakdown

**Station 1: Physical/Material Making**
- Reed and grass weaving with plant materials
- Printing/inking/painting using leaves and flowers
- Performance: mimicking plant movements and growth patterns
- Improvisational podcast interviews about plants
- **Philosophy:** Embodied knowledge—work with actual materials

**Station 2: Capture Techniques**
- Cyanotype photography of plant specimens
- Architectural photography with keystoning removal
- Camera angles and depth of field for storytelling
- Timelapse setup for documenting growth/change
- Recording audio: wind through leaves, rustling, snapping twigs
- **Philosophy:** Document student-generated materials and processes

**Station 3: Digital Manipulation**
- Sourcing archival materials (YouTube, Prelinger Archives)
- AI image generation from plant descriptions
- Audio/video editing and remixing
- Luma key effects for creative compositing
- AI transformations: poses → plants, structures → architecture
- **Philosophy:** Remix, transform, and reimagine captured materials

#### Why It Works
- **Thematic coherence:** All stations connect to plant studies course theme
- **Multiple entry points:** Physical makers, photographers, digital editors all engage
- **Creative pipeline:** Make → Capture → Transform demonstrates end-to-end process
- **AI integration:** Used as creative tool, not replacement for hands-on work

#### Learning Objectives
- Understand film/video as material practice
- Explore relationship between analog and digital processes
- Use AI generatively (not just analytically)
- Create multimodal arguments about plants and environment

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## WORKSHOP DESIGN PATTERNS

### The Standard Three-Station Rotation
**Format:** 15-20 minutes per station × 3 stations = 45-60 minute core workshop

**Common Station Archetypes:**

1. **Conceptual/Low-Tech Station**
- Paper prototyping, sketching, discussion
- No digital barriers
- Focus on ideas and planning

2. **Equipment/Hands-On Station**
- Cameras, microphones, lighting
- Physical materials, art supplies
- Tactile learning, confidence building

3. **Digital Tools Station**
- Software demos and practice
- Editing, generation, manipulation
- Technical skill development

**Why Three Stations?**
- Divides class into manageable groups (5-8 students per station)
- Creates movement and energy in the room
- Allows for differentiated instruction (stations can vary in complexity)
- Students experience full pipeline: concept → creation → refinement

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## ACTIVITY TYPES BY CATEGORY

### Video Essay & Visual Argument Activities

**Courses Using:** GENED 1145, ENGLISH 189VG, CE 10, HEB 1200, various film courses

**Key Activities:**
- **Paper Prototyping with Film Stills** (overhead camera documentation)
- **Close Reading of Visual Media** (single shot or short clip analysis)
- **Storyboarding Exercises** (3-shot stories, argument visualization)
- **Visual Layering Analysis** (overlays, green screen, multiplane composition)
- **The 3-Shot Story Challenge** (CE 10): Choose object → Create story → Storyboard with constraints (establishing shot, action close-up, "interiority" shot)

**Common Learning Objectives:**
- Construct visual arguments with thesis statements
- Use film grammar (shot types, angles, movement)
- Analyze visual rhetoric and persuasion
- Build editing proficiency

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### Podcast & Audio Production Activities

**Courses Using:** FRENCH 30, FRENCH 40, GENED 1140, ANTHRO 1826

**Key Activities:**
- **Serial Unpacking** (map audio elements in 30-second segment)
- **Mic Taste Test** (compare equipment with descriptive vocabulary)
- **GarageBand Editing** (trim, fade, layer music beds)
- **Interview Question Development** (active listening practice)

**Common Learning Objectives:**
- Develop speaking fluency and articulation (especially language courses)
- Understand audio storytelling techniques
- Build technical confidence with recording equipment
- Practice active listening and questioning

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### AI Literacy & Critical Thinking Activities

**Audiences:** Faculty workshops (Teaching with AI series), student orientations, open houses

**Key Activities:**
- **Factual Error Detection** (math problems, reasoning tasks)
- **Tokenization Exercises** (tiktokenizer.vercel.app)
- **Bias Detection** (coreference resolution, image generation, policy analysis)
- **Tutor Bot Building** (custom GPT creation for educational contexts)
- **Interactive Polling with Gen AI** (live polls → AI finds patterns → discussion questions)

**Common Learning Objectives:**
- Critical evaluation of AI capabilities and limitations
- Understanding how LLMs work (tokens, prediction, training)
- Recognizing bias in technical systems
- Informed decision-making about AI use in teaching/learning

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### Filmmaking & Cinematography Activities

**Courses Using:** FRENCH 40, AFVS 173F, various media production courses

**Key Activities:**
- **Blocking Station** (character movement and positioning analysis)
- **Lighting & Composition Station** (three-point lighting, key/fill/back)
- **Shot-Reverse-Shot & Focus Exercises** (editing patterns, racking focus)
- **Handheld Tracking & Gimbal Station** (stabilizer use, smooth movement)

**Common Learning Objectives:**
- Understand film grammar and cinematography
- Operate cameras and lighting equipment confidently
- Analyze shot construction in existing films
- Create intentional, motivated camera movements

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### Visual Design & Illustration Activities

**Tools:** Procreate, Adobe Illustrator, Canva, paper/overhead cameras

**Key Activities:**
- **Procreate Workflow** (import sketch → refine → line art → color → shading → details)
- **Paper Prototype to Digital** (sketch with markers → photograph → trace/refine digitally)
- **Zine Creation** (layout, visual hierarchy, DIY publication)

**Common Learning Objectives:**
- Translate ideas into visual form
- Use layers and digital drawing tools
- Understand visual hierarchy and composition
- Create accessible, shareable visual media

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## ASSIGNMENT TYPES & EXAMPLES

### Alternative Assessments (Instead of Traditional Papers)

**Video Essay Assignment** (GENED 1145, ENGLISH 189VG)
- **Length:** 5 minutes
- **Requirements:** Clear thesis, visual/auditory evidence, academic citations
- **Rubric:** Argument quality (40%), Cultural analysis (30%), Creativity (30%)
- **File:** `Assignment Prompt_ __Video Essay on Magic and Mythology in Latin America__.md`

**Creative Project Options** (Game Design Courses)
- Video essays analyzing game music or sound design
- Zines exploring level design or narrative structure
- Surveys with visual data presentation
- Storyboarding new game concepts
- Code-free game creation (Twine, Bitsy, Unity Creator Kit)

**Podcast Final Project** (Language Courses)
- **Length:** 5-7 minutes
- **Requirements:** Conversational fluency, research-based content, music/sound design
- **Submission:** Audio file + transcript + reflection statement

**Multimodal Research Presentation** (Various Courses)
- Students choose medium: video essay, interactive website, physical installation + documentation, illustrated narrative
- Must include research, argumentation, and citations
- Emphasizes accessibility and audience awareness

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## HANDS-ON TECHNIQUES TAUGHT

### Common Technical Skills Across Activities

**Video/Film:**
- Three-point lighting setup
- Racking focus (shifting focus between subjects)
- Shot types: wide, medium, close-up, extreme close-up
- Camera movement: pan, tilt, tracking, handheld vs. stabilized
- Shot-reverse-shot pattern for conversations
- Blocking: character positioning and movement

**Audio:**
- Microphone selection and placement
- Recording levels and monitoring
- GarageBand editing: trim, split, fade, automation
- Layering dialogue, music, and sound effects
- Music bed levels (dialogue-forward mixing)

**Digital Tools:**
- Adobe Premiere Pro, After Effects, Final Cut Pro (video editing)
- GarageBand, Audition (audio editing)
- Canva, Figma (graphic design)
- Procreate (illustration)
- Stable Diffusion, Midjourney (AI image generation)
- ChatGPT, Claude, custom GPTs (AI text generation)

**Analog/Physical:**
- Paper prototyping with film stills and art supplies
- Overhead camera documentation
- Cyanotype photography
- Storyboarding with index cards or templates
- Weaving, printing, painting with natural materials

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## PEDAGOGICAL STRATEGIES

### Reflection & Close Reading/Listening

**"Serial Unpacking" Method:**
- Select 30-60 second exemplar (podcast intro, film scene, visual essay opening)
- Map all elements: audio (voice, music, SFX), visual (shot types, color, text), narrative (structure, argument)
- Discuss how elements work together to create meaning
- **Used in:** Podcast workshops, video essay prep, film analysis

**Why It Works:**
- Short duration = manageable for close analysis
- Explicit mapping makes implicit choices visible
- Students reverse-engineer professional techniques
- Immediately applicable to their own projects

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### Paper Prototyping Before Digital Tools

**Standard Workflow:**
1. Ideate and sketch on paper with markers/colored pencils
2. Arrange printed images, text, and drawings on overhead camera
3. Photograph/record iterations
4. Review documentation and identify strongest version
5. Transition to digital tools to refine and finalize

**Why It Works:**
- Removes "I don't know the software" barrier
- Rapid iteration (draw, photograph, adjust = 2 minutes)
- Focus on ideas and composition, not technical execution
- Students discover what works before investing time in digital tools

---

### Hands-On Equipment Practice

**"Taste Test" / "Try Before You Commit" Approach:**
- Students try multiple tools/techniques in quick succession
- Use descriptive vocabulary to reflect on differences
- Make informed choices about which tools suit their project

**Examples:**
- Mic taste test (different microphones, recording quality adjectives)
- Lighting setups (harsh vs. soft, warm vs. cool)
- Camera movement (handheld vs. gimbal vs. tripod)

**Why It Works:**
- Demystifies equipment—it's choices, not magic
- Builds confidence through immediate hands-on practice
- Vocabulary development helps students articulate technical decisions
- Informed tool selection leads to better final projects

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## COURSE INTEGRATION EXAMPLES

### How Different Disciplines Use LL Activities

**Language Courses (French, Spanish, etc.)**
- **Focus:** Speaking fluency, active listening, cultural analysis
- **Activities:** Podcast production, interview practice, mic taste test
- **Rationale:** Audio projects build conversational skills and confidence

**STEM Courses (Neanderthals, Astronomy, etc.)**
- **Focus:** Explaining complex concepts visually, storyboarding research
- **Activities:** Video essays, storyboarding, overhead camera demos
- **Rationale:** Multimodal communication = better public engagement with science

**Film & Media Courses**
- **Focus:** Technical proficiency, visual rhetoric, critical analysis
- **Activities:** Three-station video essay workshop, cinematography exercises
- **Rationale:** Hands-on practice grounds theoretical learning

**Social Science & Humanities (GenEd, Anthropology, Literature)**
- **Focus:** Argumentation, close reading/listening, cultural analysis
- **Activities:** Video essays, podcasts, AI bias detection
- **Rationale:** Alternative assessments reach diverse learners, develop 21st-century literacies

**Entrepreneurship & Innovation**
- **Focus:** Visual communication of ideas, storytelling, pitching
- **Activities:** The 3-shot story challenge, storyboarding, moving storyboards with colored cards
- **Rationale:** Venture ideas communicated visually = better pitches and investor engagement

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## REPLICATION GUIDE: HOW TO RUN THESE WORKSHOPS

### For a Standard Three-Station Video Essay Workshop

**Pre-Workshop (1 week before):**
- [ ] Print 20-30 film stills from course-relevant films (color, 8.5×11)
- [ ] Prepare art supplies: markers, colored paper, scissors, tape, glue sticks
- [ ] Set up overhead camera at Station 1 (document prototypes)
- [ ] Install editing software on Station 2 computers (Premiere, Final Cut, or iMovie)
- [ ] Prepare Station 3 equipment: cameras, tripods, lights
- [ ] Create station instruction cards (brief bullet points)

**Workshop Day (60 minutes):**
- 0:00-0:05: Introduction and overview
- 0:05-0:25: Round 1 (students at their first station)
- 0:25-0:45: Round 2 (rotate to second station)
- 0:45-1:05: Round 3 (rotate to third station)
- 1:05-1:10: Closing reflection and Q&A

**Staffing:**
- 1 faculty member or MDF (coordinator)
- 3 LLUFs or TAs (one per station)
- Total: 4 people for 15-30 students

**Post-Workshop:**
- [ ] Upload overhead camera documentation to shared folder
- [ ] Send follow-up email with tutorial links and office hours
- [ ] Collect student reflections (what worked, what was confusing)

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### For a Podcast Workshop (Mic Taste Test + GarageBand)

**Pre-Workshop:**
- [ ] Reserve recording equipment: 3-4 different microphones (USB, XLR, lavalier, etc.)
- [ ] Set up recording stations with microphones and headphones
- [ ] Install GarageBand or Audacity on all computers
- [ ] Prepare adjective cards: "warm," "crisp," "muddy," "clear," "intimate," "distant," etc.
- [ ] Cue up Serial podcast episode 1 (first 30 seconds)

**Workshop Day (75 minutes):**
- 0:00-0:05: Introduction
- 0:05-0:20: Serial unpacking (close listening exercise)
- 0:20-0:40: Mic taste test (record short segments with each mic)
- 0:40-1:10: GarageBand editing (import, trim, layer music)
- 1:10-1:15: Closing discussion

**Staffing:**
- 1 instructor or MDF
- 2 LLUFs (troubleshooting, equipment help)
- Total: 3 people for 15-20 students

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### For AI Bias Detection Activities (Modular)

**Pre-Workshop:**
- [ ] Test all prompts on ChatGPT, Claude, Gemini (outputs change over time)
- [ ] Prepare comparison slides (if doing demographic bias in image generation)
- [ ] Set up tiktokenizer.vercel.app links (for tokenization exercise)
- [ ] Create Google Doc or shared space for students to paste AI responses

**Workshop Day (60-90 minutes, choose 2-4 activities):**
- 0:00-0:05: Introduction to LLMs (how they work at high level)
- 0:05-0:15: Activity A (factual errors)
- 0:15-0:30: Activity B (tokenization)
- 0:30-0:45: Activity C (gender bias)
- 0:45-1:05: Activity D (image generation bias)
- 1:05-1:15: Discussion and reflection

**Staffing:**
- 1 instructor (can run solo or with 1-2 helpers)
- Works for 10-100+ people (scales with breakout groups)

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## KEY DIRECTORIES & FILE LOCATIONS

### Where to Find Full Workshop Plans

**Current Season (2024-25):**
`/sessions/awesome-amazing-allen/mnt/the-context/_context/ll/hackmd/ll-24-25_20251030/`
- GENED1145 Workshop Report.md
- French 30 Workshop Plan.md
- AFVS 173F Workshop Planning Doc.md
- CE10 workshop plan.md
- 20241010-open-house-plan.md

**Previous Season (2023-24):**
`/sessions/awesome-amazing-allen/mnt/the-context/_context/ll/hackmd/ll-23-24_20250105/`
- Prompts for Procreate workshop.md
- Various course-specific workshops

**Older Archives (2022-23):**
`/sessions/awesome-amazing-allen/mnt/the-context/_context/ll/hackmd/hackmd-ll-studio-22-23-20230408/`
- 20221018 FRENCH40 Filmmaking workshop plan.md
- HEB1200, 20221021 storyboarding workshop plan.md

**AI Lab Materials:**
`/sessions/awesome-amazing-allen/mnt/the-context/_context/ll/hackmd/bok-ai-lab_20251030/`
- ftw-teaching-with-ai.md (Teaching with AI workshop activities)
- ai-hackathon-plan.md (complex multi-team AI project)
- activity-idea-email-20250307.md (policy-writing and bot-building activities)

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## METRICS OF SUCCESS

### What Makes an Activity a "Greatest Hit"?

**Quantitative Indicators:**
- Used across multiple courses (3+ different course codes)
- Repeated across multiple semesters (2+ years)
- Requested by faculty who weren't initially scheduled for workshops
- High attendance at open houses/optional sessions (50+ participants)

**Qualitative Indicators:**
- Students produce work they're proud of (share on social media, portfolios)
- Faculty report higher engagement than traditional assignments
- LLUFs/MDFs request to staff these workshops again
- Activities are adapted by other institutions (conference presentations, blog posts)

**Examples That Meet Both Criteria:**
- Three-station video essay workshop (used in 5+ courses over 3 years)
- Mic taste test (requested by language programs across French, Spanish, German)
- AI bias detection (presented at conferences, adapted by other teaching centers)

---

## TRENDS & EVOLUTION

### How LL Activities Have Changed Over Time

**2021-2022: Foundation Building**
- Focus on basic technical skills (how to use a camera, edit video)
- Workshops often tool-centric ("Premiere Pro workshop," "GarageBand tutorial")
- Activities designed around single medium (video OR audio OR design)

**2022-2023: Multimodal Integration**
- Emergence of three-station format
- Paper prototyping becomes standard first step
- Activities bridge analog and digital (storyboarding → filming → editing)

**2023-2024: AI Integration**
- AI tools appear in existing workshops (Stable Diffusion in image workshops)
- New workshop category: "Teaching with AI" for faculty
- Critical AI literacy activities developed (bias detection, tokenization)

**2024-2025: Sophisticated Hybridity**
- Physical + Capture + Digital pipeline (AFVS 173F)
- AI as creative tool, not replacement (generative image work)
- Meta-pedagogical focus: workshops about how to design workshops
- Emphasis on "know how to know how"

**Trajectory:** Tool training → Conceptual design → Multimodal integration → Critical literacy → Creative systems thinking

---

## RECOMMENDATIONS FOR FUTURE DEVELOPMENT

### Based on "Greatest Hits" Analysis

**Double Down On:**
1. **Three-station rotation format** - Proven, scalable, engaging
2. **Paper prototyping** - Consistently lowers barriers and accelerates iteration
3. **Hands-on equipment "taste tests"** - Builds confidence and demystifies technology
4. **AI bias detection activities** - High demand, contemporary relevance, critical thinking

**Expand Into:**
1. **Cross-medium projects** - Activities that span audio, video, and text (e.g., podcast with video accompaniment)
2. **Data visualization stations** - Similar to video essay format but for datasets
3. **Multi-week scaffolding** - Break greatest hits into 2-3 session progressions
4. **Student-as-teacher workshops** - Train students who've completed workshops to staff stations

**Document Better:**
1. **Create template kits** - Replicable packages (supply lists, instruction cards, timing guides)
2. **Record station rotations** - Video documentation of workshops in action
3. **Collect student work examples** - Build portfolio of outputs from each activity type
4. **Track long-term impact** - Survey alumni about how LL skills appear in capstones, jobs, grad school

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## CONCLUSION

The Learning Lab's greatest hits share common DNA: they are **station-based, hands-on, iterative, and reflective**. They bridge **low-tech conceptual work with high-tech digital tools**, ensuring that no student is left behind due to prior experience. They emphasize **making visible the invisible**—whether that's mapping audio elements in a podcast, discovering how microphone choice affects narrative, or uncovering bias in AI image generation.

These activities work because they respect the **"know how to know how" philosophy**: students don't just learn to make a video essay or podcast—they learn how to design, iterate, reflect, and improve any media project. They develop **transferable literacies**: critical thinking, technical proficiency, multimodal communication, and creative problem-solving.

The activities in this report represent **5+ years of pedagogical refinement**, tested across disciplines from French to Filmmaking, from GenEd to Entrepreneurship. They are the Learning Lab's greatest contribution to Harvard's teaching and learning ecosystem: **replicable, adaptable, high-impact active learning experiences** that prepare students for a multimodal, AI-integrated, media-saturated world.

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**For questions, replication support, or adaptations, contact:** [Learning Lab contact info]

**Full documentation archive:** `/sessions/awesome-amazing-allen/mnt/the-context/_context/ll/hackmd/`