E11: Stellar Standards in Education w/ Thomas Thompson @ Eduaide.ai

Описание: Revolutionizing Education with Eduaide.ai

How do we use AI to raise the quality of education instead of flooding classrooms with low-grade automation?

In this episode, we sit down with Thomas Thompson, founder of EduAid, to explore his journey from educator to edtech builder and how research-driven guardrails, thoughtful prompt design, and teacher expertise are shaping a more responsible future for AI in education.

We unpack what actually works, where AI clearly falls short, and why skill, evidence, and human judgment still matter more than raw model capability.

01:00 How COVID accelerated the demand for innovative classroom tools
01:30 Why high-quality educational research is hard for teachers to access
01:59 Gaps between research and classroom practice
03:25 From open educational resources to AI-powered workflows
03:55 The limits of traditional OER models
05:16 Building EduAid with modular prompts and guardrails
06:15 How AI interprets prompts for lesson planning and differentiation
08:09 Evaluation tools and structured AI workflows
09:37 AI-assisted assessment design
10:33 Why strong inputs matter more than model size
11:57 Personalization and scaffolded learning in classrooms
12:25 Classroom micro-moves that improve learning outcomes
16:53 The role of teacher expertise in AI-generated outputs
28:01 Where AI tutors fall short
29:25 Why relational teaching skills can’t be automated
35:48 Building evaluation infrastructure for AI in education
37:36 Avoiding low-quality AI output and “AI slop”
43:38 Ensuring evidence-based instruction with AI
44:04 Maintaining quality, taste, and instructional standards
45:49 The enduring value of knowledge and discernment
46:47 Why high standards still matter in education


Key themes discussed:

How the pandemic exposed structural gaps in teacher tools and workflows
Why access to quality research is still one of education’s biggest bottlenecks
The evolution from static open educational resources to adaptive AI systems
Designing AI with modular prompts, evaluation layers, and guardrails
The critical role of teacher judgment in shaping meaningful AI outputs
Where AI can support personalization without replacing human connection
Why relational, embodied teaching remains fundamentally human
The importance of transparency, evaluation, and restraint in AI adoption

Connect with Thomas Thompson

Eduaide.ai

LinkedIn:
  / thomas-thompson-606b71112