Adaptivelearning

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Oscar Rieken

Jun 1

From Bayesian to deep knowledge tracing — upgrading NumPath's student model with a PyTorch LSTM

#numpath #adaptivelearning #pytorch #python

5 min read

Oscar Rieken

Jun 1

Building a mistake taxonomy for dyscalculia — 8 error patterns, rule-based, no ML required

#numpath #dyscalculia #adaptivelearning #python

5 min read

Oscar Rieken

May 27

Bayesian Knowledge Tracing in 37 lines of Python — how NumPath models what a student knows

#numpath #adaptivelearning #bayesian #python

4 min read

Oscar Rieken

May 21

Prompt engineering for teacher insights with Claude — structured JSON and graceful fallbacks

#numpath #adaptivelearning #python #llm

4 min read

Oscar Rieken

May 21

Attempt history in the teacher dashboard — the scalar subquery pattern

#numpath #adaptivelearning #python #vue

4 min read

Oscar Rieken

May 21

Closing the feedback loop: how mistake classification drives adaptive problem selection in NumPath

#numpath #adaptivelearning #python #bayesian

3 min read

Oscar Rieken

May 21

Why I'm building an AI math tutor for dyscalculia — and grounding it in 30 years of ITS research

#numpath #adaptivelearning #dyscalculia #python

5 min read

Oscar Rieken

May 21

Why teachers need explainable AI, not just accurate AI — building the KC dashboard

#numpath #adaptivelearning #vue #python

3 min read

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DEV Community

# adaptivelearning

From Bayesian to deep knowledge tracing — upgrading NumPath's student model with a PyTorch LSTM

Building a mistake taxonomy for dyscalculia — 8 error patterns, rule-based, no ML required

Bayesian Knowledge Tracing in 37 lines of Python — how NumPath models what a student knows

Prompt engineering for teacher insights with Claude — structured JSON and graceful fallbacks

Attempt history in the teacher dashboard — the scalar subquery pattern

Closing the feedback loop: how mistake classification drives adaptive problem selection in NumPath

Why I'm building an AI math tutor for dyscalculia — and grounding it in 30 years of ITS research

Why teachers need explainable AI, not just accurate AI — building the KC dashboard