github-starred/cs249r_book
2
0
Fork 0
mirror of https://github.com/harvard-edge/cs249r_book.git synced 2026-04-29 00:59:07 -05:00
Code Issues 77 Packages Projects Releases 24 Wiki Activity

refactor(paper): remove Open Science Commitment paragraph

Browse Source
This commit is contained in:
Vijay Janapa Reddi
2026-01-26 16:16:43 -05:00
parent 3334e73260
commit f7701968bc
1 changed files with 0 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
tinytorch/paper/paper.tex
View File

@@ -1069,8 +1069,6 @@ TinyTorch's current implementation establishes a foundation for three extension
While TinyTorch's design is grounded in established learning theory (cognitive load~\citep{sweller1988cognitive}, progressive disclosure, cognitive apprenticeship~\citep{collins1989cognitive}), its pedagogical effectiveness requires empirical validation through controlled classroom studies. Planned validation includes: (1) pilot deployments to measure cognitive load and identify curriculum refinements, (2) comparative studies testing whether build-from-scratch pedagogy improves conceptual understanding and debugging transfer versus application-first approaches, and (3) longitudinal tracking to assess retention and career outcomes.
\textbf{Open Science Commitment:} All validation studies will be pre-registered on Open Science Framework (OSF) with hypotheses and analysis plans published before data collection. Datasets and analysis code will be released openly, and results (positive or negative) will be published regardless of outcome, ensuring evidence-based curriculum refinement.
\subsection{Curriculum Evolution}
TinyTorch's CPU-only design prioritizes pedagogical transparency, but students benefit from understanding GPU acceleration and distributed training concepts without requiring expensive hardware. Future curriculum extensions would maintain TinyTorch's core principle (understanding through transparent implementation) while expanding systems coverage through complementary pedagogical approaches.