Task Order and Flow

Classlet supports adaptive task flows using unlock requirements — allowing instructors to create non-linear, responsive learning experiences. Tasks can be gated or revealed based on the learner’s prior actions, choices, or performance, enabling customized progression paths and immersive feedback loops.

Example of atask unlock requirement in Classlet, where completing one task unlocks access to another. This can be used to scaffold learning or enforce a branching pathway based on correctness, reflection, or task type.

🎮 Level 1 How It Works

Unlock logic allows the following elements to be conditionally triggered:

Element	Behavior
Next Task or Scene	Only becomes available after a condition is met (e.g., correct MCQ answer)
Visual Assets	Images, videos, or animations can be revealed or hidden based on learner responses
NPC Dialogue or Objects	AI avatars, dialogue branches, or draggable objects can appear/disappear depending on prior task completion

🧩 Use Case Examples

1. Image → MCQ Unlock:

   • A learner first analyzes an image (e.g., a surgical setup)

   • If they answer a related MCQ correctly, they unlock a video showing the correct procedure in action

2. MCQ → Image Unlock:

   • The learner must classify a concept using MCQs

   • Once complete, they unlock a diagnostic image for deeper application (e.g., an X-ray)

3. Mixed Media Flow:

   • A video is shown only if the learner performs a sequence correctly

   • Alternatively, a follow-up task (e.g., grab, voice response, or reflection prompt) is revealed after scoring above a threshold

🔁 Branching Logic Types

Logic Type	Description	Example
Sequential Unlock	A → B → C, fixed path	MCQ must be passed before image labeling is shown
Conditional Unlock	Branches based on response	If correct, show animation; if incorrect, show hint video
Mixed Input Unlock	Combines response types	Unlocks only when both MCQ and voice input are complete
Behavioral Trigger	Based on object interactions	Dragging object X reveals a hidden diagram or triggers avatar dialogue

🎯 Instructional Benefits

• Mastery-Based Learning: Learners only progress when they demonstrate understanding

• Engagement Through Challenge: Hidden elements motivate curiosity and replay

• Scaffolded Feedback: Adaptive reveal sequences support just-in-time guidance

• Personalization: Learners experience different paths based on their inputs, creating differentiated learning without duplicating scenes

🔓 Level 2 Meta-Level Unlocking

🔀 Correct/Wrong Answer Branching in Classlet

Classlet’s unlock mechanism supports dual-path progression — where correct and incorrect answers trigger different outcomes. This enables instructors to design interactive experiences that are adaptive, scaffolded, and pedagogically responsive.

🧭 How Branching Works

When a learner responds to a task (e.g., MCQ, image labeling, voice input), their answer is evaluated and one of two (or more) pathways is triggered:

Response	Unlock Behavior
✅ Correct Answer	Advances to the next challenge, reveals new content, or unlocks a bonus/advanced scene
❌ Incorrect Answer	Triggers remediation content (e.g., hint video, retry loop, NPC feedback), or forks to an alternate task

🧩 Multi-Step Pathways

Branching can also support layered decision sequences:

1. Image task → MCQ
   ├── Correct → Unlock NPC dialogue + Grab task
   └── Wrong → Show remediation video
              └── Retry → Return to MCQ

Or:

2. Audio prompt → Open text
   ├── Strong answer → Unlock animation + next topic
   └── Weak answer → Unlock diagnostic scaffold + second prompt

Complex Dynamic Pathways

Learner Role	Passive observer with simple choice or response	Active problem-solver in mixed-mode tasks (MCQ + convo + grab + video)
Branch Trigger	Usually from a single MCQ or voice/text input	Triggers from combinations of input across modalities
Correct Answer Outcome	Unlock next screen, basic feedback	Unlocks new scene elements (NPCs, animation, dialogue, tasks)
Wrong Answer Outcome	Retry same task or simple hint	Unlocks corrective sub-paths (e.g., show a demo, NPC scaffolding, hint dialogue)
Feedback Mode	Scripted (prewritten) or simple AI hint	Multi-layered: voice, visual, gesture, or AI-driven follow-up prompt
Unlock Capabilities	Next task, reveal static image or dialogue	Unlock animation, hide/reveal objects, trigger NPC motion or new task tree
Example	Choose which image shows a hygiene error	Spot hygiene mistake → explain via voice → unlock NPC demo

🎯 Why This Matters Pedagogically

Branching logic based on correct/wrong answers supports:

• Formative Assessment: Learners immediately see the consequences of their choices

• Mastery Learning: Students revisit misunderstandings without penalty

• Learner Agency: Multiple routes reward curiosity, persistence, and reflection

• Efficiency: Advanced learners skip repetition, while others receive help when needed