The Claim-Evidence-Reasoning Video Series

Bridging AI Innovation with Cognitive Science

Role: Instructional Designer & Creative Producer

Tools: HeyGen (Avatar Animation), Midjourney (Visual Assets), LLMs (Scripting & Iteration), Canva (Visual Assets & Post-production)

This series was developed using an agile-inspired ADDIE framework, specifically designed to address learner variability and reduce extraneous cognitive load in the science classroom.

Here is a quick introduction:

Analysis: Precision Scoping

  • Gap Analysis: Identified the disconnect between student performance and scientific literacy to define clear instructional goals.

  • Curriculum Alignment: Synced technical constraints with NGSS-aligned criteria for measurable classroom impact.Cognitive Load Strategy: Applied Mayer’s Multimedia Principles to scaffold complex logic through relatable "anchor" examples, reducing learner overwhelm.

Design: Human-in-the-Loop AI Prototyping

  • Rapid Iteration: Collaborated with LLMs to refine pedagogical flow, ensuring a balance of warmth and academic rigor.

  • Visual Strategy: Leveraged Midjourney to build consistent character archetypes that foster social presence and learner connection.

Development: High-Fidelity Modular Production

  • Modular Architecture: Adopted a Micro-learning strategy (2-5 min modules) to enhance retention and facilitate asynchronous delivery.

  • Agile Pipeline: Managed parallel workflows—generating high-fidelity video assets while concurrently designing Cognitive Scaffolding tools.

Implementation: Ecosystem & Transfer

  • Performance Support: Authored facilitator guides and Teacher Toolkits to bridge the gap between video observation and classroom application.

  • Strategic Inquiry: Provided educators with questioning frameworks to pivot students from basic observation to deep scientific inquiry.

Evaluation: Instructional Integrity

  • SME Validation: Partnered with Subject Matter Experts to ensure scientific accuracy and logical consistency.

  • Iterative Loops: Established stakeholder feedback channels to ensure the final product evolves with the needs of both educators and students.

Key Instructional Design Competencies Demonstrated:

  • Cognitive Science Application: Intentional use of Load Theory and Multimedia Principles.

  • AI Tool Fluency: Sophisticated integration of GenAI (Midjourney, HeyGen, LLMs) into a professional production pipeline.

  • Modular Design: Expertise in creating reusable, scalable learning assets

The Technical Stack: AI-Powered Learning Production

Tool Instructional Design Purpose
LLMs (Gemini/ChatGPT) Scripting & Alignment: Iterative drafting to ensure pedagogical tone and curriculum alignment.
Midjourney Visual Assets & B-Roll: Creating consistent character archetypes and high-fidelity video snippets.
HeyGen Avatar Synthesis: Generating the instructional "face" of the series to build instructor immediacy.
Canva Assembly & Fidelity: Final compositing, audio balancing, and applying consistent UI elements.