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Evidence-Based EdTech Evaluation

The Science of Learning.
Technical Execution.

I am Dr. Charles Puryear. I bridge the gap between the science of learning and technical execution. Using my background in R&D, software development, and AI automation, I evaluate EdTech ecosystems to ensure they move the needle on human learning.

Explore AuditsMethodology

Core Framework

Evidence-Based Evaluation.

01

Pedagogical Integrity

I verify if platform logic adheres to cognitive science, prioritizing systems that support active recall and scaffolded learning over passive content delivery.

02

Technical Execution

A rigorous audit of infrastructure: evaluating API structures, AI automation pipelines, and the platform’s capacity to scale within enterprise ecosystems.

03

Learning Outcomes

The ultimate benchmark. I assess if technical implementations reduce cognitive load and provide valid, data-driven proof of real-world skill mastery.

Selected Technical Audits

Enterprise LMS
In Progress

TalentLMS

"Superior bi-directional API architecture and automated content pipelines for rapid R&D scaling."

Analysis Ongoing
Professional Development
In Progress

Coursera for Business

"The benchmark for pedagogical integrity, utilizing university-backed skills graphs and robust SSO integration."

Analysis Ongoing
AI Productivity
In Progress

Otter.ai

"Technical audit currently focusing on NLP latency and cross-platform knowledge restructuring."

Analysis Ongoing
Virtual Simulations
In Progress

Labster

"Future evaluation scheduled for LTI v1.3 Advantage compliance and browser-based WebGL performance."

Analysis Ongoing